From d781f7e3dd17929e493c5c941849bfcde92d80ca Mon Sep 17 00:00:00 2001 From: Mark Edmondson Date: Thu, 15 Feb 2018 14:48:09 +0100 Subject: [PATCH] cran 0.5.0 prep --- DESCRIPTION | 2 +- NEWS.md | 2 +- _pkgdown.yml | 102 --- data-raw/get_meta_data.R | 2 +- data/meta.rda | Bin 20148 -> 20155 bytes docs/LICENSE | 2 - docs/LICENSE.html | 184 ---- docs/articles/googleAnalyticsR.html | 775 ----------------- docs/articles/index.html | 191 ----- docs/articles/website/authDropdown.png | Bin 20327 -> 0 bytes docs/articles/website/auth_token_markdown.png | Bin 71932 -> 0 bytes docs/articles/website/big-query.html | 327 ------- docs/articles/website/custom/footer.html | 37 - docs/articles/website/dimDropdown.png | Bin 24350 -> 0 bytes docs/articles/website/gar_logo_1000.png | Bin 67594 -> 0 bytes .../googleAnalyticsRsegmentCreator.gif | Bin 3088647 -> 0 bytes docs/articles/website/index.html | 88 -- .../articles/website/meta_data_screenshot.png | Bin 167385 -> 0 bytes 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vignettes/website/v4demoappexample.png diff --git a/DESCRIPTION b/DESCRIPTION index 721626e4..13928138 100644 --- a/DESCRIPTION +++ b/DESCRIPTION @@ -1,6 +1,6 @@ Package: googleAnalyticsR Type: Package -Version: 0.4.2.9000 +Version: 0.5.0 Title: Google Analytics API into R Description: Interact with the Google Analytics APIs , including diff --git a/NEWS.md b/NEWS.md index 10e154fd..7f2b971d 100644 --- a/NEWS.md +++ b/NEWS.md @@ -1,4 +1,4 @@ -# googleAnalytics 0.4.2.9000 +# googleAnalytics 0.5.0 ## Breaking changes! diff --git a/_pkgdown.yml b/_pkgdown.yml deleted file mode 100644 index 7a42ccde..00000000 --- a/_pkgdown.yml +++ /dev/null @@ -1,102 +0,0 @@ -template: - bootswatch: "united" -navbar: - title: "googleAnalyticsR" - type: inverse - left: - - text: "Home" - href: index.html - icon: fa-home - - text: "Setup" - href: articles/website/setup.html - icon: fa-wrench - - text: "Getting Data" - menu: - - text: "v4" - href: articles/website/v4.html - icon: fa-cogs - - text: "v3" - href: articles/website/v3.html - icon: fa-cog - - text: "Big Query" - href: articles/website/big-query.html - icon: fa-search - - text: "Reporting Data" - menu: - - text: "Shiny" - href: articles/website/shiny.html - icon: fa-cloud-upload - - text: "RMarkdown" - href: articles/website/rmarkdown.html - icon: fa-pencil-square - - text: "Help" - menu: - - text: "Reference" - href: reference/index.html - icon: fa-question-circle - - text: "News" - href: news/index.html - icon: fa-newspaper-o -articles: - - title: "Guides" - desc: > - Examples exploring the features of googleAnalyticsR. - contents: - - setup - - v3 - - v4 - - big-query - - shiny - - rmarkdown -reference: - - title: "Authentication" - desc: > - Authentication with Google - contents: - - ga_auth - - authDropdownUI - - authDropdown - - title: "Reporting API" - desc: "Fetching data from the reporting API." - contents: - - google_analytics - - google_analytics_4 - - title: "Meta Data" - desc: > - Useful metadata - contents: - - google_analytics_account_list - - meta - - google_analytics_meta - - title: "v4 filters" - desc: "Using filters in a request" - contents: - - filter_clause_ga4 - - met_filter - - dim_filter - - title: "v4 Segments" - desc: "Building segments" - contents: - - matches("segment") - - title: "Cohorts" - desc: "Cohort reports" - contents: - - matches("cohort") - - title: "Pivots" - desc: "Pivot reports" - contents: - - matches("pivot") - - title: "Shiny" - desc: "Shiny functions" - contents: - - multi_select - - multi_selectUI - - title: "Management API" - desc: "Management API functions" - contents: - - matches("ga_") - - title: "BigQuery" - desc: "Connecting to BigQuery" - contents: - - matches("bq") - diff --git a/data-raw/get_meta_data.R b/data-raw/get_meta_data.R index a36fdf1d..9d7a27c1 100644 --- a/data-raw/get_meta_data.R +++ b/data-raw/get_meta_data.R @@ -1,6 +1,6 @@ ## script to get meta data, rerun each release library(googleAnalyticsR) -ga_auth() +#ga_auth() meta <- 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- - -
YEAR: 2016
-COPYRIGHT HOLDER: Mark Edmondson; Sunholo Ltd
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- -
- -
- - -
- - -
-

Site built with pkgdown.

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- -
-
- - - diff --git a/docs/articles/googleAnalyticsR.html b/docs/articles/googleAnalyticsR.html deleted file mode 100644 index 4f31a33b..00000000 --- a/docs/articles/googleAnalyticsR.html +++ /dev/null @@ -1,775 +0,0 @@ - - - - - - - -googleAnalyticsR • googleAnalyticsR - - - - - - -
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googleAnalyticsR guide online

-

A new Google Analytics R library using the new v4 of the Google Analytics Reporting API. Built using googleAuthR. The successor to shinyga it allows online OAuth2 authentication within Shiny apps, along with new features such as batching and compatibility with other Google APIs.

-
-

-Other GA R libraries

-

These are all great libraries, that I have taken inspiration from.

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-Why do we need another GA library?

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    -
  • First Google Analytics Reporting v4 API library for R
  • -
  • v4 features include: dynamic calculated metrics, pivots, histograms, date comparisons, batching.
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  • Shiny App compatible
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  • The same authentication flow can be used with other googleAuthR apps like searchConsoleR -
  • -
  • Automatic batching, sampling avoidance with daily walk, multi-account fetching, multi-channel funnnel
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  • Support for googleAuthR batch, meaning 10 calls at once to GA - great for big fetches. For big data calls this is implemented automatically so could be 10x quicker than normal GA fetching
  • -
  • Meta data included in attributes of returned dataframe including date ranges, totals, min and max
  • -
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-Install

-

You will also need googleAuthR too:

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install.packages("googleAuthR")
-install.packages("googleAnalyticsR")
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-

-Development version off github

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devtools::install_github("MarkEdmondson1234/googleAnalyticsR")
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-To use - v4 API calls

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Todo. But check out ?google_analytics_4 and these example queries:

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## setup
-library(googleAnalyticsR)
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-## authenticate, or use the RStudio Addin "Google API Auth" with analytics scopes set
-ga_auth()
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-## get your accounts
-account_list <- google_analytics_account_list()
-
-## pick a profile with data to query
-ga_id <- account_list[23,'viewId']
-
-

-New Filter Syntax

-
## create filters on metrics
-mf <- met_filter("bounces", "GREATER_THAN", 0)
-mf2 <- met_filter("sessions", "GREATER", 2)
-
-## create filters on dimensions
-df <- dim_filter("source","BEGINS_WITH","1",not = TRUE)
-df2 <- dim_filter("source","BEGINS_WITH","a",not = TRUE)
-
-## construct filter objects
-fc2 <- filter_clause_ga4(list(df, df2), operator = "AND")
-fc <- filter_clause_ga4(list(mf, mf2), operator = "AND")
-
-## make v4 request
-## demo showing how the new filters work
-ga_data1 <- google_analytics_4(ga_id, 
-                              date_range = c("2015-07-30","2015-10-01"),
-                              dimensions=c('source','medium'), 
-                              metrics = c('sessions','bounces'), 
-                              met_filters = fc, 
-                              dim_filters = fc2, 
-                              filtersExpression = "ga:source!=(direct)")
-
-ga_data1
-
-#                     source   medium sessions bounces
-# 1                  baby.dk referral        3       2
-# 2                     bing  organic       71      42
-# 3  buttons-for-website.com referral        7       7
-# 4           duckduckgo.com referral        5       3
-# 5                   google  organic      642     520
-# 6                google.se referral        3       2
-# 7                 izito.se referral        3       1
-# 8          success-seo.com referral       35      35
-# 9    video--production.com referral       11      11
-# 10                   yahoo  organic       66      43
-# 11              zapmeta.se referral        6       4
-
-
-

-Querying multiple report types at a time

-

Example with two date ranges and two reports.

-
## demo of querying two date ranges at a time   
-## we make the request via make_ga_4_req() to use in next demo
-multidate_test <- make_ga_4_req(ga_id, 
-                                date_range = c("2015-07-30",
-                                               "2015-10-01",
-                                               "2014-07-30",
-                                               "2014-10-01"),
-                                dimensions = c('source','medium'), 
-                                metrics = c('sessions','bounces'))
-                                
-ga_data2 <- fetch_google_analytics_4(multidate_test)
-ga_data2
-#                     source   medium sessions.d1 bounces.d1 sessions.d2 bounces.d2
-# 1                  baby.dk referral           3          2           6          3
-# 2                     bing  organic          71         42         217        126
-# 3  buttons-for-website.com referral           7          7           0          0
-# 4           duckduckgo.com referral           5          3           0          0
-# 5                   google  organic         642        520        1286        920
-# 6                google.se referral           3          2          12          9
-# 7                 izito.se referral           3          1           0          0
-# 8          success-seo.com referral          35         35           0          0
-# 9    video--production.com referral          11         11           0          0
-# 10                   yahoo  organic          66         43         236        178
-# 11              zapmeta.se referral           6          4           9          4
-
-
-## Demo querying two reports at the same time
-## Use make_ga_4_req() to make multiple requests and then send 
-##   them as a list to fetch_google_analytics_4()
-multi_test2 <- make_ga_4_req(ga_id,
-                                date_range = c("2015-07-30",
-                                               "2015-10-01",
-                                               "2014-07-30",
-                                               "2014-10-01"),
-                             dimensions=c('hour','medium'), 
-                             metrics = c('visitors','bounces'))
-
-## all requests must have same viewID and dateRange
-ga_data3 <- fetch_google_analytics_4(list(multidate_test, multi_test2)) 
-ga_data3
-# [[1]]
-#                     source   medium sessions.d1 bounces.d1 sessions.d2 bounces.d2
-# 1                  baby.dk referral           3          2           6          3
-# 2                     bing  organic          71         42         217        126
-# 3  buttons-for-website.com referral           7          7           0          0
-# 4           duckduckgo.com referral           5          3           0          0
-# 5                   google  organic         642        520        1286        920
-# 6                google.se referral           3          2          12          9
-# 7                 izito.se referral           3          1           0          0
-# 8          success-seo.com referral          35         35           0          0
-# 9    video--production.com referral          11         11           0          0
-# 10                   yahoo  organic          66         43         236        178
-# 11              zapmeta.se referral           6          4           9          4
-# 
-# [[2]]
-#    hour   medium visitors.d1 bounces.d1 visitors.d2 bounces.d2
-# 1    00  organic          28         16          85         59
-# 2    00 referral           3          2           1          1
-# 3    01  organic          43         28          93         66
-
-
-
-

-On-the-fly calculated metrics

-
ga_data4 <- google_analytics_4(ga_id,
-                               date_range = c("2015-07-30",
-                                              "2015-10-01"),
-                              dimensions=c('medium'), 
-                              metrics = c(visitsPerVisitor = "ga:visits/ga:visitors",
-                                          'bounces'), 
-                              metricFormat = c("FLOAT","INTEGER"))
-ga_data4
-#     medium visitsPerVisitor bounces
-# 1   (none)         1.000000     117
-# 2  organic         1.075137     612
-# 3 referral         1.012500      71
-
-
-

-Segments v4

-

Segments are more complex to configure that v3, but more powerful and in line to how you configure them in the UI

-
## make a segment element
-se <- segment_element("sessions", 
-                      operator = "GREATER_THAN", 
-                      type = "metric", 
-                      comparisonValue = 1, 
-                      scope = "USER")
-                      
-se2 <- segment_element("medium", 
-                      operator = "EXACT", 
-                      type = "dimension", 
-                      expressions = "organic")
-
-## choose between segment_vector_simple or segment_vector_sequence
-## Elements can be combined into clauses, which can then be combined into OR filter clauses
-sv_simple <- segment_vector_simple(list(list(se)))
-
-sv_simple2 <- segment_vector_simple(list(list(se2)))
-
-## Each segment vector can then be combined into a logical AND
-seg_defined <- segment_define(list(sv_simple, sv_simple2))
-
-## if only one AND definition, you can leave out wrapper list()
-seg_defined_one <- segment_define(sv_simple)
-
-
-## Each segement defintion can apply to users, sessions or both.
-## You can pass a list of several segments
-segment4 <- segment_ga4("simple", user_segment = seg_defined)
-
-## Add the segments to the segments param
-segment_example <- google_analytics_4(ga_id, 
-                                      c("2015-07-30","2015-10-01"), 
-                                      dimensions=c('source','medium','segment'), 
-                                      segments = segment4, 
-                                      metrics = c('sessions','bounces')
-                                      )
-
-segment_example
-#                            source   medium segment sessions bounces
-# 1                        24.co.uk referral  simple        1       1
-# 2                     aidsmap.com referral  simple        1       0
-# 3                             aol  organic  simple       30      19
-# 4                             ask  organic  simple       32      17
-
-
-## Sequence segment
-
-se2 <- segment_element("medium", 
-                       operator = "EXACT", 
-                       type = "dimension", 
-                       expressions = "organic")
-
-se3 <- segment_element("medium",
-                       operator = "EXACT",
-                       type = "dimension",
-                       not = TRUE,
-                       expressions = "organic")
-
-## step sequence
-## users who arrived via organic then via referral
-sv_sequence <- segment_vector_sequence(list(list(se2), 
-                                             list(se3)))
-
-seq_defined2 <- segment_define(list(sv_sequence))
-
-segment4_seq <- segment_ga4("sequence", user_segment = seq_defined2)
-
-## Add the segments to the segments param
-segment_seq_example <- google_analytics_4(ga_id, 
-                                          c("2016-04-01","2016-05-01"), 
-                                          dimensions=c('source','segment'), 
-                                          segments = segment4_seq,
-                                          metrics = c('sessions','bounces')
-                                          )
-segment_seq_example
-#                                source  segment sessions bounces
-# 1                                 aol sequence        1       0
-# 2                                 ask sequence        5       1
-# 3      bestbackpackersinsurance.co.uk sequence        9       6
-# 4                                bing sequence       22       2
-
-
-

-Cohort reports

-

Details on cohort reports and LTV can be found here.

-
## first make a cohort group
-cohort4 <- make_cohort_group(list("cohort 1" = c("2015-08-01", "2015-08-01"), 
-                                "cohort 2" = c("2015-07-01","2015-07-01")))
-
-## then call cohort report.  No date_range and must include metrics and dimensions
-##   from the cohort list
-cohort_example <- google_analytics_4(ga_id, 
-                                     dimensions=c('cohort'), 
-                                     cohort = cohort4, 
-                                     metrics = c('cohortTotalUsers'))
-
-cohort_example
-#     cohort cohortTotalUsers
-# 1 cohort 1               14
-# 2 cohort 2               20
-
-
-

-Pivot Requests

-

-## filter pivot results to 
-pivot_dim_filter1 <- dim_filter("medium",
-                                "REGEXP",
-                                "organic|social|email|cpc")
-                                
-pivot_dim_clause <- filter_clause_ga4(list(pivot_dim_filter1))
-
-pivme <- pivot_ga4("medium",
-                   metrics = c("sessions"), 
-                   maxGroupCount = 4, 
-                   dim_filter_clause = pivot_dim_clause)
-
-pivtest1 <- google_analytics_4(ga_id, 
-                               c("2016-01-30","2016-10-01"), 
-                               dimensions=c('source'), 
-                               metrics = c('sessions'), 
-                               pivots = list(pivme))
-
-
-names(pivtest1)
-#  [1] "source"                      "sessions"                    "medium.referral.sessions"   
-#  [4] "medium..none..sessions"      "medium.cpc.sessions"         "medium.email.sessions"      
-#  [7] "medium.social.sessions"      "medium.twitter.sessions"     "medium.socialMedia.sessions"
-# [10] "medium.Social.sessions"      "medium.linkedin.sessions"  
-
-
-
-

-To use - v3 API calls

-

v3 API calls are also tried and tested.

-

For syntax of filters and dimensions, this library parses in exactly as specified in the Google Analytics v3 API docs, so check those out. Note you do not need to encode symbols, but may have to encode URLs if you are filtering for those in say ga:pagePath

-
library(googleAnalyticsR)
-
-## Authenticate in Google OAuth2
-## this also sets options
-ga_auth()
-
-## if you need to re-authenticate use ga_auth(new_user=TRUE)
-
-## if you have your own Google Dev console project keys, 
-## then don't run ga_auth() as that will set the authentication project to the defaults.
-## instead put your options here, and run googleAuthR::gar_auth()
-
-## get account info, including View Ids
-account_list <- google_analytics_account_list()
-ga_id <- account_list$viewId[1]
-
-## get a list of what metrics and dimensions you can use
-meta <- google_analytics_meta()
-head(meta)
-
-## pick the account_list$viewId you want to see data for.
-## metrics and dimensions can have or have not "ga:" prefix
-gadata <- google_analytics(id = ga_id, 
-                           start="2015-08-01", end="2015-08-02", 
-                           metrics = c("sessions", "bounceRate"), 
-                           dimensions = c("source", "medium"))
-
-## multi accounts, pass character vector of viewIds
-## outputs a list of data.frames, named after the viewId
-multi_gadata <- google_analytics(id = c("123456","9876545","765432"), 
-                                 start="2015-08-01", end="2015-08-02", 
-                                 metrics = c("sessions", "bounceRate"), 
-                                 dimensions = c("source", "medium"))
-
-## if more than 10000 rows in results, auto batching
-## example is setting lots of dimensions to try and create big sampled data
-batch_gadata <- google_analytics(id = account_list$viewId[1], 
-                                 start="2014-08-01", end="2015-08-02", 
-                                 metrics = c("sessions", "bounceRate"), 
-                                 dimensions = c("source", "medium", "landingPagePath","hour","minute"),
-                                 max=99999999)
-
-## mitigate sampling by setting samplingLevel="WALK"
-## this will send lots and lots of calls to the Google API limits, beware
-walk_gadata <- google_analytics(id = account_list$viewId[1], 
-                                start="2014-08-01", end="2015-08-02", 
-                                metrics = c("sessions", "bounceRate"), 
-                                dimensions = c("source", "medium", "landingPagePath"), 
-                                max=99999999, samplingLevel="WALK")
-
-## multi-channel funnels set type="mcf"
-mcf_gadata <- google_analytics(id = account_list$viewId[1], 
-                               start="2015-08-01", end="2015-08-02", 
-                               metrics = c("totalConversions"), 
-                               dimensions = c("sourcePath"), 
-                               type="mcf")
-
-## google_analytics dataframes include these meta data attributes:
-- attr(*, "containsSampledData")= logi FALSE
- - attr(*, "samplePercent")= num 100
- - attr(*, "samplingLevel")= chr "DEFAULT"
- - attr(*, "profileInfo")=List of 6
-  ..$ profileId            : chr "535656"
-  ..$ accountId            : chr "2748374"
-  ..$ webPropertyId        : chr "UA-278374-1"
-  ..$ internalWebPropertyId: chr "5279208"
-  ..$ profileName          : chr "XXXXX"
-  ..$ tableId              : chr "mcf:539656"
- - attr(*, "dateRange")=List of 2
-  ..$ startDate: chr "2015-08-01"
-  ..$ endDate  : chr "2015-08-02"
- - attr(*, "totalResults")= int 4
-
-## reach meta-data via attr()
-attr(gadata, "profileInfo")
-attr(gadata, "dateRange")
-
-
-

-Using your own Google Developer Project API Key

-

With the amount of API calls possible with this library via batching and walking, its more likely the shared Google API project will hit the 50,000 calls per day limit.

-

To mitigate that, use your own Google Developer Console Project key, so it is not shared across all users of this library.

-

Get your own OAuth2 clientID and client secret and add to the options like so:

-

TODO: guide on how you get your own client Id.

-
-

-Example adding your own Google Developer Console keys

-

Below a new client Id is set for both offline and Shiny use. Put the lines at the top of your R script with your own credentials.

-

In this example, the scopes are also set so a user can authenticate with searchConsoleR at the same time, which is possible as they both use googleAuthR as a backend.

-
options("googleAuthR.client_id" = "994xxx55706-afliqtuxxxxxxx2fd4kesu6.apps.googleusercontent.com")
-options("googleAuthR.client_secret" = "3JhLa_GxxxxxCQYLe31c64")
-options("googleAuthR.scopes.selected" = c("https://www.googleapis.com/auth/analytics", 
-                                          "https://www.googleapis.com/auth/analytics.readonly", 
-                                          "https://www.googleapis.com/auth/webmasters"))
-options("googleAnalyticsR.webapp.client_id" = "994xxxx55706-e9qompxxxxx9pcab1u005cv.apps.googleusercontent.com")
-options("googleAnalyticsR.webapp.client_secret" = "zcofxxxxxxElemXN5sf")
-
-
-
-

-Shiny

-

To use in Shiny, use the googleAuth with_shiny

-

-## in server.R
-library(googleAuthR)
-library(googleAnalyticsR)
-library(shiny)
-
-shinyServer(function(input, output, session){
-  
-  ## Get auth code from return URL
-  access_token  <- reactiveAccessToken(session)
-  
-  ## Make a loginButton to display using loginOutput
-  output$loginButton <- renderLogin(session, access_token(),
-                                    logout_class = "btn btn-danger")
-
-  gadata <- reactive({
-
-    gadata <- with_shiny(google_analytics,
-                         id = "222222",
-                         start="2015-08-01", end="2015-08-02", 
-                         metrics = c("sessions", "bounceRate"), 
-                         dimensions = c("source", "medium"),
-                         shiny_access_token = access_token())
-
-})
-
-
-

-BigQuery

-

Limited support for more user friendly calls to BigQuery Google Analytics 360 exports is implemented from version 0.2.0.

-

This is intended for users who may be familar with Google Analytics but not with SQL necessary to extract equivalent data from a BigQuery export of Google Analytics 360 data.

-

google_analytics_bq parses your metrics and dimensions into BigQuery queries.

-
-

-To do

-

This is under active development, and features will expand in the future. Eventually the BigQuery reports can do a lot more than the normal Google Analytics API as it allows for statistics, grouping, timestamps and unique visitor and visit Ids.

-
-
-

-Setup

-

To use, you need to also install the bigQueryR library.

-

Stable version is on CRAN:

-
install.packages("bigQueryR")
-

Development version on devtools:

-
devtools::install_github("MarkEdmondson1234/bigQueryR")
-

Once installed, authenticate to BigQuery:

-
library(bigQueryR)
-
-## go through Google oAuth2 flow
-## needs email that has access to the BigQuery dataset
-bqr_auth()
-
-## get lists of your project and datasets
-bqr_list_projects()
-bqr_list_datasets("project-id")
-

If you want to authenticate with Google Analytics and BigQuery in the same session (or others) then its best to authenticate with googleAuthR::gar_auth() with the appropriate scopes set. The below lets you authenticate with Google Analytics, Google Cloud Storage and BigQuery:

-
options(googleAuthR.scopes.selected = c("https://www.googleapis.com/auth/analytics",
-                                        "https://www.googleapis.com/auth/cloud-platform",
-                                        "https://www.googleapis.com/auth/bigquery"))
-googleAuthR::gar_auth()
-

You may also want to use a JSON file to authenticate with BigQuery. Make sure to add the service email to the users of the Google project, and then download the JSON file and authenitcate via:

-
googleAuthR::gar_auth_service("gwt-download-XXXX.json")
-

See googleAuthR help for more details.

-
-
-

-Exporting data

-

For BigQuery Google Analytics 360 exports, the dataset is the same as the GA View ID you are exporting.

-

You can then export BigQuery data via:

-
bq <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                           start = "2016-01-01", end = "2016-02-01", 
-                           metrics = "users", 
-                           dimensions = c("source","medium"))
-head(bq)
-             source   medium  users
-1   mavas|blahbs.ru  display  47837
-2          examp.ae referral   6090
-3   lm.facebook.com referral    335
-4       ghtie_yahoo  display 133900
-5      fjsfs_inmobi  display  19887
-6 tripadvisor.co.dk referral    307                         
-

At the moment the metrics/dimensions are limited as they need to added manually to a lookup table.
-Segments/filters are not supported. The data is unsampled though.

-
bq2 <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                           start = "2016-01-01", end = "2016-02-01", 
-                           metrics = "users", 
-                           dimensions = c("source","medium","landingPagePath"))
-                           
-> Error in google_analytics_bq("project-id", "dataset-id-ga-viewid", start = "2016-01-01",  : 
-  dimension not yet supported. Must be one of referralPath, campaign, source, medium, keyword, adContent, adwordsCampaignID, adwordsAdGroupID, transactionId, date, visitorId, visitId, visitStartTime, visitNumber                           
-

You can also query the BigQuery table directly using the query parameter.

-

This is just as you would in the BigQuery interface, and allows queries you can also do there.

-
q <- "SELECT
-  date,
-  SUM (totals.visits) visits,
-  SUM (totals.pageviews) pageviews,
-  SUM (totals.transactions) transactions,
-  SUM (totals.transactionRevenue)/1000000 revenue
-FROM [87010628.ga_sessions_20160327],[87010628.ga_sessions_20160328],[87010628.ga_sessions_20160329]
-GROUP BY date
-ORDER BY date ASC "
-
-bq3 <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                           query = q)
-

You can also just output the query for use within the interface, if you pass in the parameter return_query_only

-
just_query <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                                  start = "2016-01-01", end = "2016-02-01", 
-                                  metrics = "users", 
-                                  dimensions = c("source","medium"),
-                                  return_query_only = TRUE)
-just_query
-# [1] "SELECT trafficSource.source as source, trafficSource.medium as medium, COUNT(fullVisitorId) as users 
-# FROM (TABLE_DATE_RANGE([dataset-id-ga-viewid.ga_sessions_], TIMESTAMP('2016-01-01'),
-# TIMESTAMP('2016-02-01'))) GROUP BY source, medium  LIMIT 100"
-

You could then paste this query into the BigQuery interface, or modify it and send it back in via google_analytics_q.

-
-
-

-Implemented metrics and dimensions

-

The metrics and dimensions implemented so far are in the two lookups below.

-

They include the BigQuery exclusive hitTimestamp, fullVisitorId, visitId etc.

-

Read the full Google Analytics 360 BigQuery data schema for an idea on what can be queried.

-
lookup_bq_query_m <- c(visits = "SUM(totals.visits) as sessions",
-                       sessions = "SUM(totals.visits) as sessions",
-                       pageviews = "SUM(totals.pageviews) as pageviews",
-                       timeOnSite = "SUM(totals.timeOnSite) as timeOnSite",
-                       bounces = "SUM(totals.bounces) as bounces",
-                       transactions = "SUM(totals.transactions) as transactions",
-                       transactionRevenue = "SUM(totals.transactionRevenue)/1000000 as transactionRevenue",
-                       newVisits = "SUM(totals.newVisits) as newVisits",
-                       screenviews = "SUM(totals.screenviews) as screenviews",
-                       uniqueScreenviews = "SUM(totals.uniqueScreenviews) as uniqueScreenviews",
-                       timeOnScreen = "SUM(totals.timeOnScreen) as timeOnScreen",
-                       users = "COUNT(fullVisitorId) as users",
-                       exits = "COUNT(hits.isExit) as exits",
-                       entrances = "COUNT(hits.isEntrance) as entrances",
-                       eventValue = "SUM(hits.eventinfo.eventValue) as eventValue",
-                       metricXX = {a function to output hit level custom metrics})
-
-lookup_bq_query_d <- c(referralPath = "trafficSource.referralPath as referralPath",
-                       hitTimestamp = "(visitStartTime + (hits.time/1000)) as hitTimestamp",
-                       campaign = "trafficSource.campaign as campaign",
-                       source = "trafficSource.source as source",
-                       medium = "trafficSource.medium as medium",
-                       keyword = "trafficSource.keyword as keyword",
-                       adContent = "trafficSource.adContent as adContent",
-                       adwordsCampaignID = "trafficSource.adwordsClickInfo.campaignId as adwordsCampaignId",
-                       adwordsAdGroupID = "trafficSource.adwordsClickInfo.adGroupId as adwordsAdGroupId",
-                       # adwords...etc...
-                       transactionId = "hits.transaction.transactionId as transactionId",
-                       date = "date",
-                       fullVisitorId = "fullVisitorId",
-                       userId = "userId",
-                       visitorId = "visitorId",
-                       visitId = "visitId",
-                       visitStartTime = "visitStartTime",
-                       visitNumber = "visitNumber",
-                       browser = "device.browser as browser",
-                       browserVersion = "device.browserVersion as browserVersion",
-                       operatingSystem = "device.operatingSystem as operatingSystem",
-                       operatingSystemVersion = "device.operatingSystemVersion as operatingSystemVersion",
-                       mobileDeviceBranding = "device.mobileDeviceBranding as mobileDeviceBranding",
-                       flashVersion = "device.flashVersion as flashVersion",
-                       language = "device.language as language",
-                       screenColors = "device.screenColors as screenColors",
-                       screenResolution = "device.screenResolution as screenResolution",
-                       deviceCategory = "device.deviceCategory as deviceCategory",
-                       continent = "geoNetwork.continent as continent",
-                       subContinent = "geoNetwork.subContinent as subContinent",
-                       country = "geoNetwork.country as country",
-                       region = "geoNetwork.region as region",
-                       metro = "geoNetwork.region as metro",
-                       pagePath = "hits.page.pagePath as pagePath",
-                       eventCategory = "hits.eventInfo.eventCategory as eventCategory",
-                       eventAction = "hits.eventInfo.eventAction as eventAction",
-                       eventLabel = "hits.eventInfo.eventLabel as eventLabel",
-                       dimensionXX = {a function to output hit level custom dimensions})
-
-
-
-
- - - -
- - -
- -
-

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-
- - - -
-
- - - - -
-

Limited support for more user friendly calls to BigQuery Google Analytics 360 exports is implemented from version 0.2.0.

-

This is intended for users who may be familar with Google Analytics but not with SQL necessary to extract equivalent data from a BigQuery export of Google Analytics 360 data.

-

google_analytics_bq parses your metrics and dimensions into BigQuery queries.

-
-

-To do

-

This is under active development, and features will expand in the future. Eventually the BigQuery reports can do a lot more than the normal Google Analytics API as it allows for statistics, grouping, timestamps and unique visitor and visit Ids.

-
-
-

-Setup

-

To use, you need to also install the bigQueryR library.

-

Stable version is on CRAN:

-
install.packages("bigQueryR")
-

Development version on devtools:

-
devtools::install_github("MarkEdmondson1234/bigQueryR")
-

Once installed, authenticate to BigQuery:

-
library(bigQueryR)
-
-## go through Google oAuth2 flow
-## needs email that has access to the BigQuery dataset
-bqr_auth()
-
-## get lists of your project and datasets
-bqr_list_projects()
-bqr_list_datasets("project-id")
-

If you want to authenticate with Google Analytics and BigQuery in the same session (or others) then its best to authenticate with googleAuthR::gar_auth() with the appropriate scopes set. The below lets you authenticate with Google Analytics, Google Cloud Storage and BigQuery:

-
options(googleAuthR.scopes.selected = c("https://www.googleapis.com/auth/analytics",
-                                        "https://www.googleapis.com/auth/cloud-platform",
-                                        "https://www.googleapis.com/auth/bigquery"))
-googleAuthR::gar_auth()
-

You may also want to use a JSON file to authenticate with BigQuery. Make sure to add the service email to the users of the Google project, and then download the JSON file and authenticate via:

-
googleAuthR::gar_auth_service("gwt-download-XXXX.json")
-

See googleAuthR help for more details.

-
-
-

-Exporting data

-

For BigQuery Google Analytics 360 exports, the dataset is the same as the GA View ID you are exporting.

-

You can then export BigQuery data via:

-
bq <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                           start = "2016-01-01", end = "2016-02-01", 
-                           metrics = "users", 
-                           dimensions = c("source","medium"))
-head(bq)
-             source   medium  users
-1   mavas|blahbs.ru  display  47837
-2          examp.ae referral   6090
-3   lm.facebook.com referral    335
-4       ghtie_yahoo  display 133900
-5      fjsfs_inmobi  display  19887
-6 tripadvisor.co.dk referral    307                         
-

At the moment the metrics/dimensions are limited as they need to added manually to a lookup table.
-Segments/filters are not supported. The data is unsampled though.

-
bq2 <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                           start = "2016-01-01", end = "2016-02-01", 
-                           metrics = "users", 
-                           dimensions = c("source","medium","landingPagePath"))
-                           
-> Error in google_analytics_bq("project-id", "dataset-id-ga-viewid", start = "2016-01-01",  : 
-  dimension not yet supported. Must be one of referralPath, campaign, source, medium, keyword, adContent, adwordsCampaignID, adwordsAdGroupID, transactionId, date, visitorId, visitId, visitStartTime, visitNumber                           
-
-
-

-Raw BigQuery SQL

-

You can query the BigQuery table directly using the query parameter.

-

This is just as you would in the BigQuery interface, and allows queries you can also do there.

-
q <- "SELECT
-  date,
-  SUM (totals.visits) visits,
-  SUM (totals.pageviews) pageviews,
-  SUM (totals.transactions) transactions,
-  SUM (totals.transactionRevenue)/1000000 revenue
-FROM [87010628.ga_sessions_20160327],[87010628.ga_sessions_20160328],[87010628.ga_sessions_20160329]
-GROUP BY date
-ORDER BY date ASC "
-
-bq3 <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                           query = q)
-

If you pass in the parameter return_query_only you can output the query for use within the interface:

-
just_query <- google_analytics_bq("project-id", "dataset-id-ga-viewid", 
-                                  start = "2016-01-01", end = "2016-02-01", 
-                                  metrics = "users", 
-                                  dimensions = c("source","medium"),
-                                  return_query_only = TRUE)
-just_query
-# [1] "SELECT trafficSource.source as source, trafficSource.medium as medium, COUNT(fullVisitorId) as users 
-# FROM (TABLE_DATE_RANGE([dataset-id-ga-viewid.ga_sessions_], TIMESTAMP('2016-01-01'),
-# TIMESTAMP('2016-02-01'))) GROUP BY source, medium  LIMIT 100"
-

You could then paste this query into the BigQuery interface, or modify it and send it back in via google_analytics_bq.

-
-
-

-Implemented metrics and dimensions

-

The metrics and dimensions implemented so far are in the two lookups below.

-

They include the BigQuery exclusive hitTimestamp, fullVisitorId, visitId etc.

-

Read the full Google Analytics 360 BigQuery data schema for an idea on what can be queried.

-
lookup_bq_query_m <- c(visits = "SUM(totals.visits) as sessions",
-                       sessions = "SUM(totals.visits) as sessions",
-                       pageviews = "SUM(totals.pageviews) as pageviews",
-                       timeOnSite = "SUM(totals.timeOnSite) as timeOnSite",
-                       bounces = "SUM(totals.bounces) as bounces",
-                       transactions = "SUM(totals.transactions) as transactions",
-                       transactionRevenue = "SUM(totals.transactionRevenue)/1000000 as transactionRevenue",
-                       newVisits = "SUM(totals.newVisits) as newVisits",
-                       screenviews = "SUM(totals.screenviews) as screenviews",
-                       uniqueScreenviews = "SUM(totals.uniqueScreenviews) as uniqueScreenviews",
-                       timeOnScreen = "SUM(totals.timeOnScreen) as timeOnScreen",
-                       users = "COUNT(fullVisitorId) as users",
-                       exits = "COUNT(hits.isExit) as exits",
-                       entrances = "COUNT(hits.isEntrance) as entrances",
-                       eventValue = "SUM(hits.eventinfo.eventValue) as eventValue",
-                       metricXX = {a function to output hit level custom metrics})
-
-lookup_bq_query_d <- c(referralPath = "trafficSource.referralPath as referralPath",
-                       hitTimestamp = "(visitStartTime + (hits.time/1000)) as hitTimestamp",
-                       campaign = "trafficSource.campaign as campaign",
-                       source = "trafficSource.source as source",
-                       medium = "trafficSource.medium as medium",
-                       keyword = "trafficSource.keyword as keyword",
-                       adContent = "trafficSource.adContent as adContent",
-                       adwordsCampaignID = "trafficSource.adwordsClickInfo.campaignId as adwordsCampaignId",
-                       adwordsAdGroupID = "trafficSource.adwordsClickInfo.adGroupId as adwordsAdGroupId",
-                       # adwords...etc...
-                       transactionId = "hits.transaction.transactionId as transactionId",
-                       date = "date",
-                       fullVisitorId = "fullVisitorId",
-                       userId = "userId",
-                       visitorId = "visitorId",
-                       visitId = "visitId",
-                       visitStartTime = "visitStartTime",
-                       visitNumber = "visitNumber",
-                       browser = "device.browser as browser",
-                       browserVersion = "device.browserVersion as browserVersion",
-                       operatingSystem = "device.operatingSystem as operatingSystem",
-                       operatingSystemVersion = "device.operatingSystemVersion as operatingSystemVersion",
-                       mobileDeviceBranding = "device.mobileDeviceBranding as mobileDeviceBranding",
-                       flashVersion = "device.flashVersion as flashVersion",
-                       language = "device.language as language",
-                       screenColors = "device.screenColors as screenColors",
-                       screenResolution = "device.screenResolution as screenResolution",
-                       deviceCategory = "device.deviceCategory as deviceCategory",
-                       continent = "geoNetwork.continent as continent",
-                       subContinent = "geoNetwork.subContinent as subContinent",
-                       country = "geoNetwork.country as country",
-                       region = "geoNetwork.region as region",
-                       metro = "geoNetwork.region as metro",
-                       pagePath = "hits.page.pagePath as pagePath",
-                       eventCategory = "hits.eventInfo.eventCategory as eventCategory",
-                       eventAction = "hits.eventInfo.eventAction as eventAction",
-                       eventLabel = "hits.eventInfo.eventLabel as eventLabel",
-                       dimensionXX = {a function to output hit level custom dimensions})
-

This will increase as I get time to work on it, but feel free to submit a pull request with more.

-
-
-
- - - -
- - -
- -
-

Site built with pkgdown.

-
- -
-
- - - diff --git a/docs/articles/website/custom/footer.html b/docs/articles/website/custom/footer.html deleted file mode 100644 index 7f419947..00000000 --- a/docs/articles/website/custom/footer.html +++ /dev/null @@ -1,37 +0,0 @@ - - -

Copyright (c) 2016 Sunholo Ltd. Released under MIT license.

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}{txj_ZXgvhqWwV;75Ok_I*)(%oBJ+SRlf&g3HmX)_L zpsiJZ3j^P7LAXh9mU5TN+~zv>xzLTSbU>$jBkEfBxy!n)c9)yo?P|BX-t{hc!#mya rlGnQCJ+FG#%U)-Fp}p{(ZUol*-uT-0zS^BHe#^UG?Dn@3Apih7R%sHH diff --git a/docs/articles/website/index.html b/docs/articles/website/index.html deleted file mode 100644 index c383310e..00000000 --- a/docs/articles/website/index.html +++ /dev/null @@ -1,88 +0,0 @@ - -googleAnalyticsR - Google Analytics API to R. googleAnalyticsR -

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Welcome to the website for googleAnalyticsR, an R library for working with Google Analytics data.

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Follow development on the project’s Github development site.

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Any bugs or feature requests please file an issue.

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Collaboration is welcomed and encouraged, if you are interested get in touch.

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Downloads CRANTravis-CI Build Status

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Features

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  • First Google Analytics Reporting v4 API library for R
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  • v4 features include: dynamic calculated metrics, pivots, histograms, date comparisons, batching.
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  • v4 API explorer
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  • API metadata of possible metrics and dimensions
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  • Multi-user login in Shiny App
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  • Integration with BigQuery Google Analytics Premium/360 exports.
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  • Single authentication flow can be used with other googleAuthR apps like searchConsoleR
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  • Automatic batching, sampling avoidance with daily walk, multi-account fetching, multi-channel funnnel
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  • Support for googleAuthR batch. For big data calls this could be 10x quicker than normal GA fetching.
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  • Meta data in attributes of returned dataframe including date ranges, totals, min and max
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Thanks

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These are all great libraries that also work with Google Analytics data in R, that I have taken inspiration from.

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z>UKrZPF#KUBPc54t&=IJ3YjxkV}WDV0{o_-Q}}<_T)mh8fqPT{0000 - - - - - - -RMarkdown reports with Google Analytics API data • googleAnalyticsR - - - - - - -

-
- - - -
-
- - - - -
-

googleAnalyticsR can be used to generate reports in RMarkdown documents.

-
-

-Authentication with RMarkdown

-

Run your authentication in the setup block, making sure you have run the authentication first outside of RMarkdown, to ensure the necessary .httr-oauth file is in the same working directory as the RMarkdown document.

-
-

-Example

-

----
-title: "Google Analytics Report"
-author: "Mark Edmondson"
-date: "8 July 2016"
-output: html_document
----
-
-```{r}
-knitr::opts_chunk$set(echo = TRUE)
-library(googleAnalyticsR)
-## Make sure to run this at least once outside of the document to
-##   ensure the .httr-oauth file is present. 
-ga_auth()
-
-ga_data 
-

Alternatively, you can use googleAuthR::gar_auth_service() and use the authentication JSON downloaded from the Google console.

-
-
-
-

-Multi-user authentication

-

A new feature of googleAuthR is authentication from within RMarkdown using javascript authentication instead of Shiny. A demo of using this with G+ is here: https://mark.shinyapps.io/googleAuthRMarkdown/

-

Similar code can be adapted to use with Google Analytics data. You will still need to host the RMarkdown document on a Shiny server though, such as http://shinyapps.io

-
-
-

-Uploading RMarkdown files to Shinyapps.io/Shiny Server

-

To see the reports online, you can upload RMarkdown documents to Shiny servers or shinyapps.io.

-

However, you need to ensure that the authentication file is present when uploaded. This can be specified in the meta data via resource_files

-

----
-title: "Google Analytics Report"
-author: "Mark Edmondson"
-date: "8 July 2016"
-output: html_document
-resource_files:
-  - .httr-oauth
----
-
-

Then when you upload to Shiny Server or shinyapps.io, you should see the file in your upload choices:

-
- -
-
-
-
- - - -
- - -
- -
-

Site built with pkgdown.

-
- -
-
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-
- - - -
-
- - - - -
-
-

-Install

-

The latest stable version of googleAnalyticsR is available on CRAN. CRAN

-

You also need the version > 0.3.0 of googleAuthR

-
install.packages("googleAuthR")
-install.packages("googleAnalyticsR")
-
-

-Development version off github

-

You may prefer to use the latest development version is on github which you can install via the below.

-

Github check status: Travis-CI Build Status

-
devtools::install_github("MarkEdmondson1234/googleAnalyticsR")
-

Check out the NEWS to see whats currently available in each version.

-
-
-
-

-Authentication

-
## setup
-library(googleAnalyticsR)
-
-## This should send you to your browser to authenticate your email.
-## Authenticate with an email that has access to the Google Analytics View you want to use.
-ga_auth()
-
-## get your accounts
-account_list <- google_analytics_account_list()
-
-## pick a profile with data to query
-ga_id <- account_list[23,'viewId']
-

Should you need to authenticate under a new user, use ga_auth(new_user=TRUE)

-
-
-

-Auto-authentication

-

From version 0.4 (currently on Github) you can choose to auto-authenticate by moving your .httr-oauth or by creating a Google OAuth service account JSON file.

-

Once you have set the environment variable GA_AUTH_FILE to a valid file location, the function will look there for authentication details upon loading the library meaning you will not need to call ga_auth() yourself as you would normally.

-

You can set environment variables using a .Renviron file or via the function Sys.setenv()

-

An example .Renviron file is below - this is placed in your root directory (~/ or C:\\)

-

GA_AUTH_FILE = "/Users/bob/auth/googleAnalyticsR.httr-oauth"

-

GA_AUTH_FILE can be either the file path to a .httr-oauth token generated by gar_auth() or your own Google Project’s service account JSON ending with file extension .json

-

If you use the service account JSON, you will also need to add the service account email via your Google Analytics admin as a user to see data e.g. xxxx@yyyyyy.iam.gserviceaccount.com

-
-
-

-Meta data

-

To see what dimensions and metrics are available via the API, you can use this command:

-
## get a list of what metrics and dimensions you can use
-ga_auth()
-meta <- google_analytics_meta()
-
- -
-

If offline, from v0.2.0 this data is also available offline by typing meta, although it won’t be quite as up to date.

-

The meta data does not include multi-channel as they are not available to download, for those see the online version.

-

When using the library, you can call metrics and dimensions with or without the ga: prefix (mcf: for multi-channel metrics/dimensions.)

-
-

-Multiple API authentication

-

If you are using more than one API for authentication (such as Search Console), then authenticate using googleAuthR::gar_auth() instead, to ensure you are authenticate with the correct scopes.

-
-
-
-

-Using your own Google Developer Project API Key

-

With the amount of API calls possible with this library via batching and walking, its more likely the default shared Google API project will hit the 50,000 calls per day limit.

-

To mitigate that, use your own Google Developer Console Project key, so it is not shared across all users of this library.

-
-

-Example adding your own Google Developer Console keys

-

Set the options before any call to ga_auth() or other data fetching calls.

-
options(googleAuthR.client_id = "uxxxxxxx2fd4kesu6.apps.googleusercontent.com")
-options(googleAuthR.client_secret = "3JhLa_GxxxxxCQYLe31c64")
-options(googleAuthR.scopes.selected = "https://www.googleapis.com/auth/analytics")
-

In the next example, the scopes are also set so a user can authenticate with searchConsoleR at the same time, which is possible as they both use googleAuthR as a backend.

-
options(googleAuthR.client_id = "tuxxxxxxx2fd4kesu6.apps.googleusercontent.com")
-options(googleAuthR.client_secret = "3JhLa_GxxxxxCQYLe31c64")
-options(googleAuthR.scopes.selected = c("https://www.googleapis.com/auth/analytics",
-                                        "https://www.googleapis.com/auth/webmasters"))
-

If you want to use with Shiny, then set the webapp clientId/secrets.

-
options(googleAnalyticsR.webapp.client_id = "xxxxx9pcab1u005cv.apps.googleusercontent.com")
-options(googleAnalyticsR.webapp.client_secret = "zcofxxxxxxElemXN5sf")
-
-
-
-
- - - -
- - -
- -
-

Site built with pkgdown.

-
- -
-
- - - diff --git a/docs/articles/website/shiny.html b/docs/articles/website/shiny.html deleted file mode 100644 index 40a66f72..00000000 --- a/docs/articles/website/shiny.html +++ /dev/null @@ -1,807 +0,0 @@ - - - - - - - -Shiny Apps that call Google Analytics API data • googleAnalyticsR - - - - - - -
-
- - - -
-
- - - - -
-

To use in Shiny with a multi-user login, use googleAuth’s with_shiny. See the googleAuthR readme for details on general Google authentication with Shiny.

-
## in server.R
-library(googleAuthR)
-library(googleAnalyticsR)
-library(shiny)
-
-shinyServer(function(input, output, session){
-  
-  ## Get auth code from return URL
-  access_token  <- callModule(googleAuth, "auth1")
-
-  gadata <- reactive({
-
-    with_shiny(google_analytics,
-               id = "222222", ## replace with your View ID
-               start="2015-08-01", end="2015-08-02", 
-               metrics = c("sessions", "bounceRate"), 
-               dimensions = c("source", "medium"),
-               shiny_access_token = access_token())
-  })
-  
-  output$something <- renderPlot({
-  
-    ## only trigger once authenticated
-    req(access_token())
-    
-    gadata <- gadata()
-    
-    plot(gadata)
-  
-  })
-  
-})
-
-## ui.R
-library(googleAuthR)
-library(shiny)
-
-shinyUI(fluidPage(
-
-  googleAuthUI("auth1"),
-  plotOutput("something")
-
-))
-
-

-Shiny Modules

-

To aid with creating Shiny apps using this package, some Shiny modules are available.

-
-

-Authentication modules

-

authDropdown and authDropdownUI create a row of selects to help with choosing a GA View.

-
- -
-

This is useful in combination with googleAuthR’s googleAuth module that helps with user login:

-
## ui.R
-googleAuthUI("login"),
-authDropdownUI("auth_menu")
-
## server.R 
-
-(...)
-
-token <- callModule(googleAuth, "login")
-
-ga_accounts <- reactive({
-  validate(
-    need(token(), "Authenticate")
-  )
-
-  with_shiny(google_analytics_account_list, shiny_access_token = token())
-  
-  })
-
-selected_id <- callModule(authDropdown, "auth_menu", ga.table = ga_accounts)
-
-(...)
-
-
-

-Parameter selects

-

multiSelect and multiSelectUI create select dropdowns with the GA API parameters filled in, taken from the meta API.

-

-
-
-

-Segment helper

-

segmentBuilder and segmentBuilderUI creates a segment builder interface. This is also available as an RStudio gadget to help create segments more easily.

-
- -
-
-
-
-

-V4 API Shiny app

-

An example of a Shiny app is the V4 API explorer, this code is available in the package and at Github here

-

The code for the explorer is included below:

-
-

-ui.R

-
library(shiny)
-library(googleAuthR)
-library(googleAnalyticsR)
-library(listviewer)
-library(testthat)
-
-
-navbarPage("GA v4 API",
-           tabPanel("Setup", tabName = "setup", icon = icon("cogs"),
-                    h1("A tour of GA reporting API v4"),
-                    helpText("A demonstration of some of the new features available over the traditional v3 API."),
-                    helpText("Start by logging in to your Google Analytics account."),
-                    googleAuthUI("login"),
-                    authDropdownUI("auth_menu")
-           ),
-           tabPanel("Segments", tabName = "segments", icon = icon("object-group"),
-                    fluidRow(
-                      column(width = 8, offset = 2,
-                             h2("Segment setup"),
-                             segmentBuilderUI("demo_segments")
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 8, offset = 2,
-                             h2("GA Data to Segment"),
-                             multi_selectUI("metric_seg", "Metric", width = "100%"),
-                             multi_selectUI("dim_seg", "Dimensions", width = "100%"),
-                             dateRangeInput("date_seg", "Date Range", start = Sys.Date() - 30, width = "100%"),
-                             helpText("Segments are more in line to what can be configured in the GA interface."),
-                             helpText("They are a lot more powerful, but complex to configure."),
-                             actionButton("get_seg", "Fetch Segment Data", icon = icon("download"), class = "btn-success"),
-                             hr(),
-                             h2("Results"),
-                             dataTableOutput("segment_table"),
-                             hr(),
-                             h2("JSON API object"),
-                             helpText("The JSON object for segments is shown below for reference."),
-                             jsoneditOutput("segment_object")
-                      ))),
-           tabPanel("Calculated Metrics", tabName = "calc_metrics", icon = icon("calculator"),
-                    h2("Calculated Metrics"),
-                    fluidRow(
-                      column(width = 6,
-                             textInput("calculated_name", label = "Calculated Name", value = "Sessions Per Pageview")
-                      ),
-                      column(width = 6,
-                             textInput("calculated_exp", label = "Calculated Expression", value = "ga:sessions / ga:pageviews")   
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             multi_selectUI("metric_calc", "Normal Metrics")     
-                      ),
-                      column(width = 6,
-                             multi_selectUI("dim_calc", "Dimensions")  
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             dateRangeInput("date_clac", "Date Range") 
-                      ),
-                      column(width = 6,
-                             br()
-                      )
-                    ),
-                    helpText("Calculated metrics let you create your own metrics on the fly"),
-                    actionButton("get_calc", "Fetch Calculated Metric data", icon = icon("download"), class = "btn-success"),
-                    hr(),
-                    h2("Results"),
-                    dataTableOutput("calc_table"),
-                    hr(),
-                    h2("JSON API object"),
-                    helpText("The JSON object for calculated metrics is shown below for reference."),
-                    jsoneditOutput("calc_object")
-           ),
-           tabPanel("Pivots", tabName = "pivots", icon = icon("sort-amount-desc"),
-                    h2("Pivots"),
-                    fluidRow(
-                      column(width = 6,
-                             multi_selectUI("metric_pivot", "Metric")   
-                      ),
-                      column(width = 6,
-                             multi_selectUI("dim_pivot", "Dimensions")   
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             dateRangeInput("date_pivot", "Date Range") 
-                      ),
-                      column(width = 6,
-                             br() 
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             multi_selectUI("metric_pivot2", "Pivot Metric") 
-                      ),
-                      column(width = 6,
-                             multi_selectUI("dim_pivot2", "Pivot Dimension")  
-                      )
-                      
-                    ),
-                    
-                    helpText("Pivot fetches reshape the data you can fetch from the API. Useful for making 'long' data 'wide', it means you don't have to perform more data transformation yourself."),
-                    helpText("Examples include breaking out traffic sources per column, or event labels per category."),
-                    actionButton("get_pivot", "Fetch Pivot Data", icon = icon("download"), class = "btn-success"),
-                    hr(),
-                    h2("Results"),
-                    dataTableOutput("pivot_table"),
-                    hr(),
-                    h2("JSON API object"),
-                    helpText("The JSON object for pivots is shown below for reference."),
-                    jsoneditOutput("pivot_object")
-           ),
-           tabPanel("Multiple Dates", tabName = "multi_dates", icon = icon("calendar"),
-                    h2("Multiple Dates"),
-                    fluidRow(
-                      column(width = 6,
-                             multi_selectUI("metric_md", "Metric")
-                      ),
-                      column(width = 6,
-                             multi_selectUI("dim_md", "Dimensions")
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             dateRangeInput("date1_md", "Date Range 1", start = Sys.Date() - 30)   
-                      ),
-                      column(width = 6,
-                             dateRangeInput("date2_md", "Date Range 2", start = Sys.Date() - 60, end = Sys.Date() - 31)
-                      )
-                      
-                    ),
-                    
-                    helpText("Multiple date range fetches let you do direct comparisons without needing two API calls."),
-                    actionButton("get_md", "Fetch Multidate Data", icon = icon("download"), class = "btn-success"),
-                    hr(),
-                    h2("Results"),
-                    dataTableOutput("md_table"),
-                    hr(),
-                    h2("JSON API object"),
-                    helpText("The JSON object for multi-date is shown below for reference."),
-                    jsoneditOutput("md_object")
-           ),
-           tabPanel("Cohorts", tabName = "cohorts", icon = icon("users"),
-                    h2("Cohorts"),
-                    fluidRow(
-                      column(width = 6,
-                             multi_selectUI("metric_coh", "Metric")  
-                      ),
-                      column(width = 6,
-                             multi_selectUI("dim_coh", "Dimensions")  
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             textInput("coh1", label = "Cohort 1 Name", value = "Cohort 1")     
-                      ),
-                      column(width = 6,
-                             dateRangeInput("date_coh1", "Cohort 1 Range", start = Sys.Date() - 30, end = Sys.Date())
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             textInput("coh2", label = "Cohort 2 Name", value = "Cohort 2")
-                      ),
-                      column(width = 6,
-                             dateRangeInput("date_coh2", "Cohort 2 Range", start = Sys.Date() - 60, end = Sys.Date() - 30)
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             textInput("coh3", label = "Cohort 3 Name", value = "Cohort 3")
-                      ),
-                      column(width = 6,
-                             dateRangeInput("date_coh3", "Cohort 3 Range", start = Sys.Date() - 90, end = Sys.Date() - 60) 
-                      )
-                    ),
-                    fluidRow(
-                      column(width = 6,
-                             textInput("coh4", label = "Cohort 4 Name", value = "Cohort 4")   
-                      ),
-                      column(width = 6,
-                             dateRangeInput("date_coh4", "Cohort 4 Range", start = Sys.Date() - 120, end = Sys.Date() - 90)
-                      )
-                    ),
-                    helpText("Cohorts are unique to the v4 API, letting you examine user behaviour as it changes over time."),
-                    actionButton("get_cohort", "Fetch Cohorts Data", icon = icon("download"), class = "btn-success"),
-                    hr(),
-                    h2("Results"),
-                    dataTableOutput("cohort_table"),
-                    hr(),
-                    h2("JSON API object"),
-                    helpText("The JSON object for cohorts is shown below for reference."),
-                    jsoneditOutput("cohort_object")
-           ),
-           helpText("Copyright 2016 Sunholo Ltd. Released under MIT license."),
-           helpText("Created using R, Shiny and ", a(href = "http://code.markedmondson.me/googleAnalyticsR", "googleAnalyticsR")),
-           helpText(a(href = "http://code.markedmondson.me", "Blog")," | ", a(href = "http://twitter.com/HoloMarkeD", "@HoloMarkeD"))
-)
-
-
-

-server.R

-
library(shiny)
-library(googleAuthR)
-library(googleAnalyticsR)
-library(listviewer)
-
-## this is set before you launch the app, 
-## as the default local port is 1221
-## change this to the port you use if on your own Google project keys
-options(shiny.port = 1221)
-options(googleAuthR.webapp.client_id = "289759286325-42j8nmkeq5n9v9eb1kiuj2i97v9oea1f.apps.googleusercontent.com")
-options(googleAuthR.webapp.client_secret = "0zBtmZ_klTEzXUaTUTP5AkNQ")
-options(googleAuthR.scopes.selected = c("https://www.googleapis.com/auth/analytics.readonly"))
-
-shinyServer(function(input, output, session){
-  
-  #####--------- Setup
-  
-  token <- callModule(googleAuth, "login")
-  
-  ga_accounts <- reactive({
-    validate(
-      need(token(), "Authenticate")
-    )
-    
-    with_shiny(google_analytics_account_list, shiny_access_token = token())
-  })
-  
-  selected_id <- callModule(authDropdown, "auth_menu", ga.table = ga_accounts)
-  
-  #####--------- Segments
-  
-  segment_built <- callModule(segmentBuilder, "demo_segments")
-  
-  segment_metrics <- callModule(multi_select, "metric_seg", type = "METRIC", subType = "segment")
-  segment_dims <- callModule(multi_select, "dim_seg", type = "DIMENSION", subType = "segment")
-  
-  segment_data <- eventReactive(input$get_seg, {
-    
-    viewId <- selected_id()
-    metrics <- segment_metrics()
-    dims <- c("ga:segment", segment_dims())
-    dates <- input$date_seg
-    segment_built <- segment_built()
-    
-    with_shiny(google_analytics_4,
-               shiny_access_token = token(),
-               viewId = viewId,
-               date_range = c(dates[1], dates[2]),
-               metrics = metrics,
-               dimensions = dims,
-               segments = segment_built)
-    
-  })
-  
-  output$segment_table <- renderDataTable({
-    
-    segment_data()
-    
-  })
-  
-  output$segment_object <- renderJsonedit({
-    
-    jsonedit(
-      as.list( segment_built() )
-      ,"change" = htmlwidgets::JS('function(){
-                                  console.log( event.currentTarget.parentNode.editor.get() )
-  }')
-    )
-    
-    
-    
-})
-  
-  #####--------- Cohorts
-  
-  cohort_metrics <- callModule(multi_select, "metric_coh", 
-                               type = "METRIC", 
-                               subType = "cohort")
-  
-  cohort_dims <- callModule(multi_select, "dim_coh", 
-                            type = "DIMENSION", 
-                            subType = "cohort", 
-                            default = "ga:cohort")
-  
-  cohort_built <- reactive({
-    
-    coh_d1 <- as.character(input$date_coh1)
-    coh_d2 <- as.character(input$date_coh2)    
-    coh_d3 <- as.character(input$date_coh3)
-    coh_d4 <- as.character(input$date_coh4)
-    coh1 <- input$coh1
-    coh2 <- input$coh2
-    coh3 <- input$coh3
-    coh4 <- input$coh4
-    
-    c_list <- list(c(coh_d1[1], coh_d1[2]),
-                   c(coh_d2[1], coh_d2[2]),
-                   c(coh_d3[1], coh_d3[2]),
-                   c(coh_d4[1], coh_d4[2]))
-    names(c_list) <-  c(coh1, coh2, coh3, coh4)
-    
-    make_cohort_group(c_list)
-    
-  })
-  
-  cohort_data <- eventReactive(input$get_cohort, {
-    
-    viewId <- selected_id()
-    metrics <- cohort_metrics()
-    dims <- cohort_dims()
-    cohort_built <- cohort_built()
-    
-    with_shiny(google_analytics_4,
-               shiny_access_token = token(),
-               viewId = viewId,
-               metrics = metrics,
-               dimensions = dims,
-               cohort = cohort_built)
-    
-  })
-  
-  output$cohort_table <- renderDataTable({
-    
-    cohort_data()
-    
-  })
-  
-  output$cohort_object <- renderJsonedit({
-    
-    jsonedit(
-      as.list( cohort_built() )
-      ,"change" = htmlwidgets::JS('function(){
-                                  console.log( event.currentTarget.parentNode.editor.get() )
-  }')
-    )
-    
-    
-    
-})
-  
-  #####--------- Multi-date
-  
-  md_metrics <- callModule(multi_select, "metric_md", type = "METRIC", subType = "all")
-  md_dims <- callModule(multi_select, "dim_md", type = "DIMENSION", subType = "all")
-  
-  md_data <- eventReactive(input$get_md, {
-    
-    viewId <- selected_id()
-    metrics <- md_metrics()
-    dims <- md_dims()
-    dates1 <- input$date1_md
-    dates2 <- input$date2_md
-    
-    with_shiny(google_analytics_4,
-               shiny_access_token = token(),
-               viewId = viewId,
-               date_range = c(dates1[1], dates1[2], dates2[1], dates2[2]),
-               metrics = metrics,
-               dimensions = dims)
-    
-  })
-  
-  output$md_table <- renderDataTable({
-    
-    md_data()
-    
-  })
-  
-  md_object <- reactive({
-    
-    viewId <- selected_id()
-    metrics <- md_metrics()
-    dims <- md_dims()
-    dates1 <- input$date1_md
-    dates2 <- input$date2_md
-    
-    out <- make_ga_4_req(google_analytics_4,
-                         viewId = viewId,
-                         date_range = c(dates1[1], dates1[2], dates2[1], dates2[2]),
-                         metrics = metrics,
-                         dimensions = dims)
-    out$dimensionFilterClauses <- NULL
-    out
-    
-  })
-  
-  output$md_object <- renderJsonedit({
-    
-    jsonedit(
-      as.list( md_object() )
-      ,"change" = htmlwidgets::JS('function(){
-                                  console.log( event.currentTarget.parentNode.editor.get() )
-  }')
-    )
-    
-    
-    
-})
-  
-  #####--------- Pivots 
-  
-  pv_metrics <- callModule(multi_select, "metric_pivot", type = "METRIC", subType = "all") 
-  
-  pv_dims <- callModule(multi_select, "dim_pivot", 
-                        type = "DIMENSION", 
-                        subType = "all", 
-                        default = "ga:source")
-  
-  pv_metrics2 <- callModule(multi_select, "metric_pivot2", type = "METRIC", subType = "all")
-  
-  pv_dims2 <- callModule(multi_select, "dim_pivot2", 
-                         type = "DIMENSION", 
-                         subType = "all",
-                         default = "ga:medium")
-  
-  pivot_object <- reactive({
-    
-    
-    pv_metrics2 <- pv_metrics2()
-    pv_dims2 <- pv_dims2()
-    
-    pivot_ga4(pv_dims2, pv_metrics2)
-    
-  })
-  
-  pivot_data <- eventReactive(input$get_pivot,{
-    
-    viewId <- selected_id()
-    metrics <- pv_metrics() 
-    dims <- pv_dims()
-    dates <- input$date_pivot
-    pivot_object <- pivot_object()
-    
-    with_shiny(google_analytics_4,
-               shiny_access_token = token(),
-               viewId = viewId,
-               date_range = c(dates[1], dates[2]),
-               metrics = metrics,
-               dimensions = dims,
-               pivots = list(pivot_object))
-    
-    
-  })
-  
-  output$pivot_table <- renderDataTable({
-    
-    pivot_data()
-    
-  })
-  
-  output$pivot_object <- renderJsonedit({
-    
-    jsonedit(
-      as.list( pivot_object() )
-      ,"change" = htmlwidgets::JS('function(){
-                                  console.log( event.currentTarget.parentNode.editor.get() )
-  }')
-    )
-    
-    
-    
-})
-  
-  #####--------- Calculated Metrics
-  
-  calc_dim <- callModule(multi_select, "dim_calc", type = "DIMENSION", subType = "all")
-  calc_met <- callModule(multi_select, "metric_calc", type = "METRIC", subType = "all")
-  
-  calc_data <- eventReactive(input$get_calc, {
-    
-    viewId <- selected_id()
-    dims <- calc_dim()
-    dates <- input$date_clac
-    metric_name <- gsub(" ", "", input$calculated_name)
-    metric_exp <- input$calculated_exp
-    normal_metrics <- calc_met()
-    
-    exp_metrics <- setNames(metric_exp, metric_name)
-    metrics <- c(exp_metrics, normal_metrics)
-    
-    with_shiny(google_analytics_4,
-               shiny_access_token = token(),
-               viewId = viewId,
-               date_range = c(dates[1], dates[2]),
-               metrics = metrics,
-               dimensions = dims)
-    
-    
-  })
-  
-  output$calc_table <- renderDataTable({
-    
-    calc_data()
-    
-  })
-  
-  calc_object <- reactive({
-    
-    viewId <- selected_id()
-    dims <- calc_dim()
-    dates <- input$date_clac
-    metric_name <- gsub(" ", "", input$calculated_name)
-    metric_exp <- input$calculated_exp
-    normal_metrics <- calc_met()
-    
-    exp_metrics <- setNames(metric_exp, metric_name)
-    metrics <- c(exp_metrics, normal_metrics)
-    
-    make_ga_4_req(viewId = viewId,
-                  date_range = c(dates[1], dates[2]),
-                  metrics = metrics,
-                  dimensions = dims)
-    
-  })
-  
-  output$calc_object <- renderJsonedit({
-    
-    jsonedit(
-      as.list( calc_object() )
-      ,"change" = htmlwidgets::JS('function(){
-                                  console.log( event.currentTarget.parentNode.editor.get() )
-  }')
-    )
-    
-    
-    
-  })
-  
-  
-  })
-
-
-
-
- - - -
- - -
- -
-

Site built with pkgdown.

-
- -
-
- - - diff --git a/docs/articles/website/v3.html b/docs/articles/website/v3.html deleted file mode 100644 index 787064b8..00000000 --- a/docs/articles/website/v3.html +++ /dev/null @@ -1,264 +0,0 @@ - - - - - - - -Google Analytics Reporting API v3 R functions • googleAnalyticsR - - - - - - -
-
- - - -
-
- - - - -
-
-

-v3 features

-

New API features will no longer occur for the v3 API, but it still carries a lot of useful capabilties, such as the multi-channel API, and multi-account batching.

-

It is also currently the only API that has the WALK flag implemented, to avoid sampling via breaking up big data fetches into multiple batched calls.

-
-
-

-Google Anaytics V3 API examples

-

Consult ?google_analytics and see examples below:

-
library(googleAnalyticsR)
-
-## Authenticate in Google OAuth2
-ga_auth()
-
-## if you need to re-authenticate use ga_auth(new_user=TRUE)
-
-## if you have your own Google Dev console project keys, 
-## then don't run ga_auth() as that will set the authentication project to the defaults.
-## instead put your options here, and run googleAuthR::gar_auth()
-
-## get account info, including View Ids
-account_list <- google_analytics_account_list()
-ga_id <- account_list$viewId[1]
-
-## get a list of what metrics and dimensions you can use
-meta <- google_analytics_meta()
-head(meta)
-
-## pick the account_list$viewId you want to see data for.
-## metrics and dimensions can have or have not "ga:" prefix
-gadata <- google_analytics(id = ga_id, 
-                           start="2015-08-01", end="2015-08-02", 
-                           metrics = c("sessions", "bounceRate"), 
-                           dimensions = c("source", "medium"))
-
-## multi accounts, pass character vector of viewIds
-## outputs a list of data.frames, named after the viewId
-## This fetches 10 accounts per API call. 
-multi_gadata <- google_analytics(id = c("123456","9876545","765432"), 
-                                 start="2015-08-01", end="2015-08-02", 
-                                 metrics = c("sessions", "bounceRate"), 
-                                 dimensions = c("source", "medium"))
-
-## if more than 10000 rows in results, auto batching
-## example is setting lots of dimensions to try and create big sampled data
-batch_gadata <- google_analytics(id = account_list$viewId[1], 
-                                 start="2014-08-01", end="2015-08-02", 
-                                 metrics = c("sessions", "bounceRate"), 
-                                 dimensions = c("source", "medium", "landingPagePath","hour","minute"),
-                                 max=99999999)
-
-## mitigate sampling by setting samplingLevel="WALK"
-## this will send lots and lots of calls to the Google API limits, beware
-walk_gadata <- google_analytics(id = account_list$viewId[1], 
-                                start="2014-08-01", end="2015-08-02", 
-                                metrics = c("sessions", "bounceRate"), 
-                                dimensions = c("source", "medium", "landingPagePath"), 
-                                max=99999999, samplingLevel="WALK")
-
-## multi-channel funnels set type="mcf"
-mcf_gadata <- google_analytics(id = account_list$viewId[1], 
-                               start="2015-08-01", end="2015-08-02", 
-                               metrics = c("totalConversions"), 
-                               dimensions = c("sourcePath"), 
-                               type="mcf")
-
-## google_analytics dataframes include these meta data attributes:
-- attr(*, "containsSampledData")= logi FALSE
- - attr(*, "samplePercent")= num 100
- - attr(*, "samplingLevel")= chr "DEFAULT"
- - attr(*, "profileInfo")=List of 6
-  ..$ profileId            : chr "535656"
-  ..$ accountId            : chr "2748374"
-  ..$ webPropertyId        : chr "UA-278374-1"
-  ..$ internalWebPropertyId: chr "5279208"
-  ..$ profileName          : chr "XXXXX"
-  ..$ tableId              : chr "mcf:539656"
- - attr(*, "dateRange")=List of 2
-  ..$ startDate: chr "2015-08-01"
-  ..$ endDate  : chr "2015-08-02"
- - attr(*, "totalResults")= int 4
-
-## reach meta-data via attr()
-attr(gadata, "profileInfo")
-attr(gadata, "dateRange")
-
-
-

-Other details

-

For syntax of filters and dimensions, this library parses in exactly as specified in the Google Analytics v3 API docs, so check those out.

-

Note you do not need to encode symbols if passed into metrics or dimensions parameters, but may have to encode URLs if you are filtering for those in say ga:pagePath via utils::URLencode(url, reserved = TRUE)

-
-
-
- - - -
- - -
- -
-

Site built with pkgdown.

-
- -
-
- - - diff --git a/docs/articles/website/v4.html b/docs/articles/website/v4.html deleted file mode 100644 index ebdd912b..00000000 --- a/docs/articles/website/v4.html +++ /dev/null @@ -1,645 +0,0 @@ - - - - - - - -Google Analytics Reporting API v4 R Examples • googleAnalyticsR - - - - - - -
-
- - - -
-
- - - - -
-
-

-v4 features

-

The v4 API is where new features will appear in the future.

-

It currently has these extras implemented over the v3 API:

-
    -
  • Cohorts
  • -
  • Multiple date ranges
  • -
  • Pivot tables
  • -
  • Calculated metrics on the fly
  • -
  • Much more powerful segments
  • -
-
-
-

-v4 API Explorer Shiny app

-

A demo Shiny app where you can explore the new v4 features is available.

-
- -
-
-
-

-To use - v4 API calls

-

Consult ?google_analytics_4 and these example queries:

-
## setup
-library(googleAnalyticsR)
-
-## authenticate, or use the RStudio Addin "Google API Auth" with analytics scopes set
-ga_auth()
-
-## get your accounts
-account_list <- google_analytics_account_list()
-
-## pick a profile with data to query
-ga_id <- account_list[23,'viewId']
-
-

-Anti-sampling v4

-

A new feature from version 0.3.0 is anti-sampling via batching.

-

Sampling is due to your API request being over the session limits outlined in this Google article. This limit is higher for Google Analytics 360.

-

If you split up your API request so that the number of sessions falls under these limits, sampling will not occur.

-
-

-Sampled data example

-

If you have sampling in your data request, googleAnalyticsR reports it back to you in the console when making the request.

-
> library(googleAnalyticsR)
-> ga_auth()
-> sampled_data_fetch <- google_analytics_4(id, 
-                                           date_range = c(“2015-01-01”,”2015-06-21"), 
-                                           metrics = c("users","sessions","bounceRate"), 
-                                           dimensions = c("date","landingPagePath","source"))
-Calling APIv4....
-Data is sampled, based on 39.75% of visits.
-
-
-

-Unsampled data example

-

Setting the new argument anti_sample=TRUE in a google_analytics_4() request now causes the calls to be split up into small enough chunks to avoid sampling. This uses more API calls so the data will reach you slower, but it should hold more detail.

-
> library(googleAnalyticsR)
-> ga_auth()
-> unsampled_data_fetch <- google_analytics_4(id, 
-                                             date_range = c(“2015-01-01”,”2015-06-21"), 
-                                             metrics = c("users","sessions","bounceRate"), 
-                                             dimensions = c("date","landingPagePath","source"),
-                                             anti_sample = TRUE)
-
-anti_sample set to TRUE. Mitigating sampling via multiple API calls.
-Finding how much sampling in data request...
-Data is sampled, based on 39.75% of visits.
-Downloaded [10] rows from a total of [59235].
-Finding number of sessions for anti-sample calculations...
-Downloaded [172] rows from a total of [172].
-Calculated [3] batches are needed to download [59235] rows unsampled.
-Anti-sample call covering 128 days: 2015-01-01, 2015-05-08
-Looping over [2] batches.
-Fetching data...
-Fetching data...
-Downloaded [59235] rows from a total of [59235].
-Anti-sample call covering 23 days: 2015-05-09, 2015-05-31
-Looping over [2] batches.
-Fetching data...
-Fetching data...
-Downloaded [20239] rows from a total of [20239].
-Anti-sample call covering 21 days: 2015-06-01, 2015-06-21
-Looping over [2] batches.
-Fetching data...
-Fetching data...
-Downloaded [21340] rows from a total of [21340].
-Finished unsampled data request, total rows [100814]
-Successfully avoided sampling
-

The sequence involves a couple of exploratory API calls to determine the best split. This method will adjust the time periods to have the batch sizes large enough to not take too long, but small enough to have unsampled data.

-
-
-

-Auto-anti sampling failure

-

In some cases the anti-sampling won’t work. This will mainly be due to filters for the View you are using meaning that the calculation for the sampling sessions are incorrect - Google Analytics vanilla samples on a property level (whilst GA360 samples on a View level).

-

Try using a raw profile if you can, otherwise you can set your own sample period by using the anti_sample_batches flag to indicate the sample size. Pick a number that is a little lower than the smallest period you saw in the auto-sample batches. If in doubt, setting anti_sample_batches to 1 will make a daily fetch.

-
-
-

-Hourly anti-sampling calls

-

For large traffic websites, sometimes even if the batches are down to one API call per day, it isn’t enough to remove sampling. In those cases, googleAnalyticsR will split the calls further into hourly batches.

-

If you are still experiencing sampling with hourly batches, then its time to use the google_analytics_bq function :)

-
-
-
-

-New Filter Syntax

-
## create filters on metrics
-mf <- met_filter("bounces", "GREATER_THAN", 0)
-mf2 <- met_filter("sessions", "GREATER", 2)
-
-## create filters on dimensions
-df <- dim_filter("source","BEGINS_WITH","1",not = TRUE)
-df2 <- dim_filter("source","BEGINS_WITH","a",not = TRUE)
-
-## construct filter objects
-fc2 <- filter_clause_ga4(list(df, df2), operator = "AND")
-fc <- filter_clause_ga4(list(mf, mf2), operator = "AND")
-
-## make v4 request
-## demo showing how the new filters work
-ga_data1 <- google_analytics_4(ga_id, 
-                              date_range = c("2015-07-30","2015-10-01"),
-                              dimensions=c('source','medium'), 
-                              metrics = c('sessions','bounces'), 
-                              met_filters = fc, 
-                              dim_filters = fc2, 
-                              filtersExpression = "ga:source!=(direct)")
-
-ga_data1
-
-#                     source   medium sessions bounces
-# 1                  baby.dk referral        3       2
-# 2                     bing  organic       71      42
-# 3  buttons-for-website.com referral        7       7
-# 4           duckduckgo.com referral        5       3
-# 5                   google  organic      642     520
-# 6                google.se referral        3       2
-# 7                 izito.se referral        3       1
-# 8          success-seo.com referral       35      35
-# 9    video--production.com referral       11      11
-# 10                   yahoo  organic       66      43
-# 11              zapmeta.se referral        6       4
-
-
-

-Querying multiple report types at a time

-

Example with two date ranges and two reports. When querying two date ranges, you can sort the metrics by how much they have changed by using orderType = DELTA e.g. order_type("sessions", "DESCENDING", "DELTA")

-
## demo of querying two date ranges at a time   
-## we make the request via make_ga_4_req() to use in next demo
-multidate_test <- make_ga_4_req(ga_id, 
-                                date_range = c("2015-07-30",
-                                               "2015-10-01",
-                                               "2014-07-30",
-                                               "2014-10-01"),
-                                dimensions = c('source','medium'), 
-                                metrics = c('sessions','bounces'),
-                                order = order_type("sessions", "DESCENDING", "DELTA"))
-                                
-ga_data2 <- fetch_google_analytics_4(multidate_test)
-ga_data2
-#                                     source      medium sessions.d1 bounces.d1 sessions.d2 bounces.d2
-# 1                                 (direct)      (none)        5923       3328           0          0
-# 2                        example_mem.co.uk    referral        5846       1100           0          0
-# 3                                   google         cpc        5476       2669           0          0
-# 4                           examp-link.net    referral        2241        653           0          0
-# 5                    moneysavingexampl.com    referral        1869        549           0          0
-# 6                            emailCampaign       email        1268        772           0          0
-
-
-## Demo querying two reports at the same time
-## Use make_ga_4_req() to make multiple requests and then send 
-##   them as a list to fetch_google_analytics_4()
-multi_test2 <- make_ga_4_req(ga_id,
-                                date_range = c("2015-07-30",
-                                               "2015-10-01",
-                                               "2014-07-30",
-                                               "2014-10-01"),
-                             dimensions=c('hour','medium'), 
-                             metrics = c('visitors','bounces'))
-
-## all requests must have same viewID and dateRange
-ga_data3 <- fetch_google_analytics_4(list(multidate_test, multi_test2)) 
-ga_data3
-# [[1]]
-#                     source   medium sessions.d1 bounces.d1 sessions.d2 bounces.d2
-# 1                  baby.dk referral           3          2           6          3
-# 2                     bing  organic          71         42         217        126
-# 3  buttons-for-website.com referral           7          7           0          0
-# 4           duckduckgo.com referral           5          3           0          0
-# 5                   google  organic         642        520        1286        920
-# 6                google.se referral           3          2          12          9
-# 7                 izito.se referral           3          1           0          0
-# 8          success-seo.com referral          35         35           0          0
-# 9    video--production.com referral          11         11           0          0
-# 10                   yahoo  organic          66         43         236        178
-# 11              zapmeta.se referral           6          4           9          4
-# 
-# [[2]]
-#    hour   medium visitors.d1 bounces.d1 visitors.d2 bounces.d2
-# 1    00  organic          28         16          85         59
-# 2    00 referral           3          2           1          1
-# 3    01  organic          43         28          93         66
-
-
-
-

-On-the-fly calculated metrics

-
ga_data4 <- google_analytics_4(ga_id,
-                               date_range = c("2015-07-30",
-                                              "2015-10-01"),
-                              dimensions=c('medium'), 
-                              metrics = c(visitsPerVisitor = "ga:visits/ga:visitors",
-                                          'bounces'), 
-                              metricFormat = c("FLOAT","INTEGER"))
-ga_data4
-#     medium visitsPerVisitor bounces
-# 1   (none)         1.000000     117
-# 2  organic         1.075137     612
-# 3 referral         1.012500      71
-
-
-

-Segments v4

-

Segments are more complex to configure that v3, but more powerful and in line to how you configure them in the UI.

-

A lot of feedback for the library is on how to get the segment syntax right, so the examples below try to cover common scenarios.

-
-

-v3 segments

-

You can choose to create segments via the v4 syntax or the v3 syntax for backward compatibility.

-

If you want to use v3 segments, then they can be used in the segment_id argument of the segment_ga4() function.

-

You can view the segment Ids by using ga_segment_list() and the data.frame in $items

-
## get list of segments
-my_segments <- ga_segment_list()
-
-## just the segment items
-segs <- my_segments$items
-
-## segment Ids and name:
-segs[,c("name","id","defintion")]
-
-## example output
-  id            name                                                          definition
-1 -1       All Users                                                                    
-2 -2       New Users                       sessions::condition::ga:userType==New Visitor
-3 -3 Returning Users                 sessions::condition::ga:userType==Returning Visitor
-4 -4    Paid Traffic         sessions::condition::ga:medium=~^(cpc|ppc|cpa|cpm|cpv|cpp)$
-5 -5 Organic Traffic                             sessions::condition::ga:medium==organic
-6 -6  Search Traffic sessions::condition::ga:medium=~^(cpc|ppc|cpa|cpm|cpv|cpp|organic)$
-....
-

The ID you require is in the $id column which you need to prefix with “gaid::”

-
## choose the v3 segment
-segment_for_call <- "gaid::-4"
-
-## make the v3 segment object in the v4 segment object:
-seg_obj <- segment_ga4("PaidTraffic", segment_id = segment_for_call)
-
-## make the segment call
-segmented_ga1 <- google_analytics_4(ga_id, 
-                                    c("2015-07-30","2015-10-01"), 
-                                    dimensions=c('source','medium','segment'), 
-                                    segments = seg_obj, 
-                                    metrics = c('sessions','bounces')
-                                    )
-  
-

…or you can pass the v3 syntax for dynamic segments found from the $definition column:

-
## or pass the segment v3 defintion in directly:
-segment_def_for_call <- "sessions::condition::ga:medium=~^(cpc|ppc|cpa|cpm|cpv|cpp)$"
-
-## make the v3 segment object in the v4 segment object:
-seg_obj <- segment_ga4("PaidTraffic", segment_id = segment_def_for_call)
-
-## make the segment call
-segmented_ga1 <- google_analytics_4(ga_id, 
-                                    c("2015-07-30","2015-10-01"), 
-                                    dimensions=c('source','medium','segment'), 
-                                    segments = seg_obj, 
-                                    metrics = c('sessions','bounces')
-                                    )
-
-
-

-v4 segment syntax

-

However, its recommended you embrace the new v4 syntax, as its more flexible and powerful in the long run.

-

The hierarachy of the segment elements you will need are:

-
    -
  • -segment_ga4() - this is the top of the segment tree. You can pass one or a list of these into a google_analytics_4() segment argument. Here you name the segment as it will appear in the segment dimension, and pass in segment definitions either via an existing segmentID or v3 definition; via a user scoped level; or via a session scoped level. The user and session scopes can have one or a list of segment_define() functions.
  • -
  • -segment_define() - this is where you define the types of segment filters that you are passing in - they are combined in a logical AND. The segment filters can be of a segment_vector_simple type (where order doesn’t matter) or a segment_vector_sequence type (where order does matter.) You can also pass in a not_vector of the same length as the list of segment filters, which dictates if the segments you pass in are included (the default) or excluded.
  • -
  • -segment_vector_simple() and segment_vector_sequence() - these are vectors of segment_element, and determine if the conditions are included in a logical OR fashion, or if the sequence of steps is important (for instance users who saw this page, then that page.)
    -
  • -
  • -segment_element - this is the lowest atom of segments, and lets you define on which metric or dimension you are segmenting on. You pass one or a list of these to segment_vector_simple() or segment_vector_sequence() -
  • -
-
## make two segment elements
-se <- segment_element("sessions", 
-                      operator = "GREATER_THAN", 
-                      type = "METRIC", 
-                      comparisonValue = 1, 
-                      scope = "USER")
-                      
-se2 <- segment_element("medium", 
-                      operator = "EXACT", 
-                      type = "DIMENSION", 
-                      expressions = "organic")
-
-## choose between segment_vector_simple or segment_vector_sequence
-## Elements can be combined into clauses, which can then be combined into OR filter clauses
-sv_simple <- segment_vector_simple(list(list(se)))
-
-sv_simple2 <- segment_vector_simple(list(list(se2)))
-
-## Each segment vector can then be combined into a logical AND
-seg_defined <- segment_define(list(sv_simple, sv_simple2))
-
-## Each segement defintion can apply to users, sessions or both.
-## You can pass a list of several segments
-segment4 <- segment_ga4("simple", user_segment = seg_defined)
-
-## Add the segments to the segments param
-segment_example <- google_analytics_4(ga_id, 
-                                      c("2015-07-30","2015-10-01"), 
-                                      dimensions=c('source','medium','segment'), 
-                                      segments = segment4, 
-                                      metrics = c('sessions','bounces')
-                                      )
-
-segment_example
-#                            source   medium segment sessions bounces
-# 1                        24.co.uk referral  simple        1       1
-# 2                     aidsmap.com referral  simple        1       0
-# 3                             aol  organic  simple       30      19
-# 4                             ask  organic  simple       32      17
-
-
-## Sequence segment
-  
-  se2 <- segment_element("medium", 
-                         operator = "EXACT", 
-                         type = "DIMENSION", 
-                         expressions = "organic")
-  
-  se3 <- segment_element("medium",
-                         operator = "EXACT",
-                         type = "DIMENSION",
-                         not = TRUE,
-                         expressions = "organic")
-  
-  ## step sequence
-  ## users who arrived via organic then via referral
-  sv_sequence <- segment_vector_sequence(list(list(se2), 
-                                              list(se3)))
-  
-  seq_defined2 <- segment_define(list(sv_sequence))
-  
-  segment4_seq <- segment_ga4("sequence", user_segment = seq_defined2)
-  
-  ## Add the segments to the segments param
-  segment_seq_example <- google_analytics_4(ga_id, 
-                                            c("2016-01-01","2016-03-01"), 
-                                            dimensions=c('source','segment'), 
-                                            segments = segment4_seq,
-                                            metrics = c('sessions','bounces')
-  )
-  
-segment_seq_example
-#                                source  segment sessions bounces
-# 1                                 aol sequence        1       0
-# 2                                 ask sequence        5       1
-# 3      bestbackpackersinsurance.co.uk sequence        9       6
-# 4                                bing sequence       22       2
-

Some more examples, using some of the match types, contributed by Pawel Kapuscinski:

-
con1 <-segment_vector_simple(list(list(segment_element("ga:dimension1", 
-                      operator = "REGEXP", 
-                      type = "DIMENSION", 
-                      expressions = ".*", 
-                      scope = "SESSION"))))
-
-con2 <-segment_vector_simple(list(list(segment_element("ga:deviceCategory", 
-                      operator = "EXACT", 
-                      type = "DIMENSION", 
-                      expressions = "Desktop", 
-                      scope = "SESSION"))))
-
-seq1 <- segment_element("ga:pagePath", 
-                         operator = "EXACT", 
-                         type = "DIMENSION", 
-                         expressions = "yourdomain.com/page-path", 
-                         scope = "SESSION")
-
-
-seq2 <- segment_element("ga:eventAction", 
-                         operator = "REGEXP", 
-                         type = "DIMENSION", 
-                         expressions = "english", 
-                         scope = "SESSION",
-                         matchType = "IMMEDIATELY_PRECEDES")
-
-allSEQ <- segment_vector_sequence(list(list(seq1), list(seq2)))
-
-results <- google_analytics_4(ga_id, 
-                             date_range = c("2016-08-08","2016-09-08"),
-                             segments = segment_ga4("sequence+condition",
-                                                    user_segment = segment_define(list(con1,con2,allSEQ))
-                                                    ),
-                             metrics = c('ga:users'),
-                             dimensions = c('ga:segment'))
-
-
-
-

-RStudio Addin: Segment helper

-

New in version 0.2.0 is an RStudio Addin to help create segments via a UI rather than the lists above.

-

You can call it via googleAnalyticsR:::gadget_GASegment() or within the RStudio interface like displayed below:

-
-Google Analytics v4 segment RStudio Addin

Google Analytics v4 segment RStudio Addin

-
-
-
-
-

-Cohort reports

-

Details on cohort reports and LTV can be found here.

-
## first make a cohort group
-cohort4 <- make_cohort_group(list("Jan2016" = c("2016-01-01", "2016-01-31"), 
-                                "Feb2016" = c("2016-02-01","2016-02-28")))
-
-## then call cohort report.  No date_range and must include metrics and dimensions
-##   from the cohort list
-cohort_example <- google_analytics_4(ga_id, 
-                                     dimensions=c('cohort'), 
-                                     cohort = cohort4, 
-                                     metrics = c('cohortTotalUsers'))
-
-cohort_example
-#    cohort cohortTotalUsers
-# 1 Feb2016            19040
-# 2 Jan2016            23378
-
-
-

-Pivot Requests

-

-## filter pivot results to 
-pivot_dim_filter1 <- dim_filter("medium",
-                                "REGEXP",
-                                "organic|social|email|cpc")
-                                
-pivot_dim_clause <- filter_clause_ga4(list(pivot_dim_filter1))
-
-pivme <- pivot_ga4("medium",
-                   metrics = c("sessions"), 
-                   maxGroupCount = 4, 
-                   dim_filter_clause = pivot_dim_clause)
-
-pivtest1 <- google_analytics_4(ga_id, 
-                               c("2016-01-30","2016-10-01"), 
-                               dimensions=c('source'), 
-                               metrics = c('sessions'), 
-                               pivots = list(pivme))
-
-
-names(pivtest1)
-#  [1] "source"                      "sessions"                    "medium.referral.sessions"   
-#  [4] "medium..none..sessions"      "medium.cpc.sessions"         "medium.email.sessions"      
-#  [7] "medium.social.sessions"      "medium.twitter.sessions"     "medium.socialMedia.sessions"
-# [10] "medium.Social.sessions"      "medium.linkedin.sessions"  
-
-
-
-
- - - -
- - -
- -
-

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    Mark Edmondson. Author, maintainer. -

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    Artem Klevtsov. Contributor. -

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    Johann deBoer. Contributor. -

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    David Watkins. Contributor. -

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    Olivia Brode-Roger. Contributor. -

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    Jas Sohi. Contributor. -

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    Zoran Selinger. Contributor. -

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Site built with pkgdown.

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- - - diff --git a/docs/index.html b/docs/index.html deleted file mode 100644 index d1974217..00000000 --- a/docs/index.html +++ /dev/null @@ -1,211 +0,0 @@ - - - - - - - -Google Analytics API into R • googleAnalyticsR - - - - - - -
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Welcome to the website for googleAnalyticsR, an R library for working with Google Analytics data.

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Follow development on the project’s Github development site.

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Any bugs or feature requests please file an issue.

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Collaboration is welcomed and encouraged, if you are interested get in touch.

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Downloads CRANTravis-CI Build Status

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-Features

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  • First Google Analytics Reporting v4 API library for R
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  • v4 features include: dynamic calculated metrics, pivots, histograms, date comparisons, batching.
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  • v4 API explorer
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  • API metadata of possible metrics and dimensions
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  • Multi-user login in Shiny App
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  • Integration with BigQuery Google Analytics Premium/360 exports.
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  • Single authentication flow can be used with other googleAuthR apps like searchConsoleR -
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  • Automatic batching, sampling avoidance with daily walk, multi-account fetching, multi-channel funnnel
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  • Support for googleAuthR batch. For big data calls this could be 10x quicker than normal GA fetching.
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  • Meta data in attributes of returned dataframe including date ranges, totals, min and max
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-Thanks

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These are all great libraries that also work with Google Analytics data in R, that I have taken inspiration from.

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Site built with pkgdown.

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-
- - - diff --git a/docs/jquery.sticky-kit.min.js b/docs/jquery.sticky-kit.min.js deleted file mode 100644 index e2a3c6de..00000000 --- a/docs/jquery.sticky-kit.min.js +++ /dev/null @@ -1,9 +0,0 @@ -/* - Sticky-kit v1.1.2 | WTFPL | Leaf Corcoran 2015 | http://leafo.net -*/ -(function(){var b,f;b=this.jQuery||window.jQuery;f=b(window);b.fn.stick_in_parent=function(d){var A,w,J,n,B,K,p,q,k,E,t;null==d&&(d={});t=d.sticky_class;B=d.inner_scrolling;E=d.recalc_every;k=d.parent;q=d.offset_top;p=d.spacer;w=d.bottoming;null==q&&(q=0);null==k&&(k=void 0);null==B&&(B=!0);null==t&&(t="is_stuck");A=b(document);null==w&&(w=!0);J=function(a,d,n,C,F,u,r,G){var v,H,m,D,I,c,g,x,y,z,h,l;if(!a.data("sticky_kit")){a.data("sticky_kit",!0);I=A.height();g=a.parent();null!=k&&(g=g.closest(k)); -if(!g.length)throw"failed to find stick parent";v=m=!1;(h=null!=p?p&&a.closest(p):b("
"))&&h.css("position",a.css("position"));x=function(){var c,f,e;if(!G&&(I=A.height(),c=parseInt(g.css("border-top-width"),10),f=parseInt(g.css("padding-top"),10),d=parseInt(g.css("padding-bottom"),10),n=g.offset().top+c+f,C=g.height(),m&&(v=m=!1,null==p&&(a.insertAfter(h),h.detach()),a.css({position:"",top:"",width:"",bottom:""}).removeClass(t),e=!0),F=a.offset().top-(parseInt(a.css("margin-top"),10)||0)-q, -u=a.outerHeight(!0),r=a.css("float"),h&&h.css({width:a.outerWidth(!0),height:u,display:a.css("display"),"vertical-align":a.css("vertical-align"),"float":r}),e))return l()};x();if(u!==C)return D=void 0,c=q,z=E,l=function(){var b,l,e,k;if(!G&&(e=!1,null!=z&&(--z,0>=z&&(z=E,x(),e=!0)),e||A.height()===I||x(),e=f.scrollTop(),null!=D&&(l=e-D),D=e,m?(w&&(k=e+u+c>C+n,v&&!k&&(v=!1,a.css({position:"fixed",bottom:"",top:c}).trigger("sticky_kit:unbottom"))),eb&&!v&&(c-=l,c=Math.max(b-u,c),c=Math.min(q,c),m&&a.css({top:c+"px"})))):e>F&&(m=!0,b={position:"fixed",top:c},b.width="border-box"===a.css("box-sizing")?a.outerWidth()+"px":a.width()+"px",a.css(b).addClass(t),null==p&&(a.after(h),"left"!==r&&"right"!==r||h.append(a)),a.trigger("sticky_kit:stick")),m&&w&&(null==k&&(k=e+u+c>C+n),!v&&k)))return v=!0,"static"===g.css("position")&&g.css({position:"relative"}), -a.css({position:"absolute",bottom:d,top:"auto"}).trigger("sticky_kit:bottom")},y=function(){x();return l()},H=function(){G=!0;f.off("touchmove",l);f.off("scroll",l);f.off("resize",y);b(document.body).off("sticky_kit:recalc",y);a.off("sticky_kit:detach",H);a.removeData("sticky_kit");a.css({position:"",bottom:"",top:"",width:""});g.position("position","");if(m)return null==p&&("left"!==r&&"right"!==r||a.insertAfter(h),h.remove()),a.removeClass(t)},f.on("touchmove",l),f.on("scroll",l),f.on("resize", -y),b(document.body).on("sticky_kit:recalc",y),a.on("sticky_kit:detach",H),setTimeout(l,0)}};n=0;for(K=this.length;n - - - - - diff --git a/docs/news/index.html b/docs/news/index.html deleted file mode 100644 index ff5e905e..00000000 --- a/docs/news/index.html +++ /dev/null @@ -1,436 +0,0 @@ - - - - - - - - -All news • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
-
- - - -
- -
- -
- - -
-
-

-googleAnalytics 0.4.2.9000

-
-

-Breaking changes!

-

If you were using google_analytics() before to fetch the v3 API, this is now available via google_analytics_3() - replace all instances and it should work as before. However, you are encouraged to migrate to v4, which now runs when you use google_analytics()(and for a while still at google_analytics_4() too)

-
-
-

-Major changes

-
    -
  • note to self - CRAN submission, use CRAN branch that ignores tests
  • -
  • Add support for resource based quotas (#127)
  • -
  • Improve support for using different auth cache files with ga_auth() -
  • -
  • Changed google_analytics to be the v4 API, google_analytics_3 now supports v3
  • -
  • change default cache token name from .httr-oauth to ga.oauth to avoid clashes
  • -
  • You can now change the rows fetched per API page in v4 up to 100k
  • -
  • Add unsampled report downloads (#44 - many thanks to @j450h1 for this work on this)
  • -
  • Add management of View and account filters (#108 - many thanks to @zselinger for the work on this)
  • -
  • If an google_analytics batch API call fails, it will automatically retry with a slower request rate
  • -
  • v4 API requests will report how long it took to help with configurations
  • -
-
-
-

-Bug fixes

-
    -
  • Fix bug where anti-sampling with no dimensions broke (#149 - thanks @smach)
  • -
-
-
-
-

-googleAnalytics 0.4.2

-
-

-Bug fixes

-
    -
  • Fix bug of argument match in multi_select(#99 - thanks @sdhaus)
  • -
  • Fix bug for data dimensions starting with a number (#100 - thanks @kennyengci)
  • -
  • Remove hourly anti-sampling as it doesn’t work
  • -
  • Use tidy eval instead of dplyr underscore funcs (thanks @kiendang)
  • -
  • Fix multi-channel funnels raising error when no data available (thanks @octaviancorlade)
  • -
  • Fix NULL validaation if no results returns in v4 API (#81 again - thanks @ricardopinto)
  • -
-
-
-

-Additions

-
    -
  • You can now set your GA_CLIENT_ID, GA_CLIENT_SECRET in environment arguments and they will be added to the project options on startup.
  • -
  • Authenticate on startup with GA_AUTH_FILE pointing to your cache file.
  • -
  • Add support for “today” and “yesterday” date values in anti_sample (#112)
  • -
  • Add that max is ignored during anti_sample=TRUE (#111)
  • -
-
-
-
-

-googleAnalyticsR 0.4.1

-
-

-Fixed

-
    -
  • Fix attempt to set an attribute on NULL error for anti-sample
  • -
  • Fixed anti_sample="auto" math to actually limit the number of sessions for the auto-batches
  • -
  • Fixed error when no data present in requested date_range for a view, and max = -1 -
  • -
  • Fix logic of anti_sample_batches to allow accurate day batches. (#74)
  • -
  • Fix parsing of ga_account_summary broken by upgrade from dplyr 0.5.0 > dplyr 0.7.0 -
  • -
-
-
-

-Added

-
    -
  • Add warning if using default project, and if API quota is tripped (#79)
  • -
  • refactor defensive checks from testthat to assertthat -
  • -
-
-
-
-

-googleAnalyticsR 0.4.0

-
-

-Added

-
    -
  • Deprecate google_analytics_account_list for ga_account_list to be in line with other functions
  • -
  • Add custom data uploads via ga_custom_upload_file() -
  • -
  • Cleaned up documentation a bit
  • -
  • Added auto-authentication if you specify environment var GA_AUTH_FILE -
  • -
  • Add Remarketing Audience functions - ga_remarketing_get and ga_remarketing_list -
  • -
  • Add aggregateGAData which will aggregate over GA dimensions
  • -
  • Add antiSampleWorked TRUE/FALSE attribute to tables when anti-sampling attempted
  • -
  • Add a slow_fetch flag to google_analytics_4 that will avoid batching for big complicated fetches
  • -
  • Add ga_users_list for listing users on account, webProperty or View level
  • -
  • Set default Google Project API permissions to: -
      -
    • "https://www.googleapis.com/auth/analytics"
    • -
    • "https://www.googleapis.com/auth/analytics.readonly"
    • -
    • "https://www.googleapis.com/auth/analytics.manage.users.readonly"
    • -
    • "https://www.googleapis.com/auth/analytics.edit"
    • -
    • "https://www.googleapis.com/auth/analytics.manage.users"
    • -
    -
  • -
-
-
-

-Fixed

-
    -
  • Use aggregateGAData to solve issue with anti_sampling repeating rows (#49)
  • -
  • Fix bug with anti-sample when periods included 0-row data (#42)
  • -
  • Fix google_analytics_account_list() parsing bug if only one view available (#52, #41)
  • -
  • Fix segments not being able to be used in Cohort reports (#63)
  • -
  • Fix bug with anti-sample when querying over 1000 days (#66 - thanks @olivia-icivics)
  • -
-
-
-
-

-googleAnalyticsR 0.3.0

-
-

-Added

-
    -
  • Add BigQuery asynch fetch to Google Analytics 360 exports, for over 1,000,000 rows.
  • -
  • A GA v4 example Shiny app added that runs on https://mark.shinyapps.io/googleAnalyticsRv4Demo/ -
  • -
  • New argument anti_sample for google_analytics_4() which will split up the calls into efficient batches to avoid sampling. Includes experimental sub-day hourly batching.
  • -
  • Set argument max = -1 in google_analytics_4() to fetch all results.
  • -
  • Add fix for google_analytics_account_summary parsing when no views in web properties.
  • -
  • New argument anti_sample_batches lets you choose batch sizes (daily is equal to anti_sample_batches=1)
  • -
  • Add several management API functions: -
      -
    • ga_accounts
    • -
    • ga_adwords
    • -
    • ga_adwords_list
    • -
    • ga_custom_datasource
    • -
    • ga_custom_upload
    • -
    • ga_custom_upload_list
    • -
    • ga_custom_vars
    • -
    • ga_custom_vars_list
    • -
    • ga_experiment
    • -
    • ga_experiment_list
    • -
    • ga_filter
    • -
    • ga_filter_list
    • -
    • ga_filter_view
    • -
    • ga_filter_view_list
    • -
    • ga_goal
    • -
    • ga_goal_list
    • -
    • ga_segment_list
    • -
    • ga_unsampled
    • -
    • ga_unsampled_list
    • -
    • ga_view
    • -
    • ga_view_list
    • -
    • ga_webproperty
    • -
    • ga_webproperty_list
    • -
    -
  • -
-
-
-

-Fixed

-
    -
  • Fix bug for calculated metrics if expression not starting with ga: (#28)
  • -
  • Fix a parse bug if only metrics and no dimensions were used in google_analytics_4() -
  • -
  • Refactoring v4 batching
  • -
-
-
-
-

-googleAnalyticsR 0.2.1

-
-

-Fixed

-
    -
  • Fix v4 bug where batches over 10000 had extra rows added (#19)
  • -
-
-
-
-

-googleAnalyticsR 0.2.0

-
-

-Added

-
    -
  • segment helper as RStudio Addin or gadget_GASegment() -
  • -
  • Local tests added
  • -
  • Multi-account batching for v3 (#17)
  • -
  • Add BigQuery fetching for GoogleAnalytics 360 accounts via google_analytics_bq() -
  • -
-
-
-

-Fixed

-
    -
  • Fix order_type() for v4 (#18)
  • -
-
-
-
-

-googleAnalyticsR 0.1.1

-
-

-Fixed

-
    -
  • Patch to fix ignoring first row of v4 API results (#16)
  • -
-
-
-
-

-googleAnalyticsR 0.1.0

-
-

-Added

-
    -
  • v4 API calls implemented
  • -
-
-
-
-
- - - -
- -
- - -
-

Site built with pkgdown.

-
- -
-
- - - diff --git a/docs/pkgdown.css b/docs/pkgdown.css deleted file mode 100644 index 209ce57f..00000000 --- a/docs/pkgdown.css +++ /dev/null @@ -1,163 +0,0 @@ -/* Sticker footer */ -body > .container { - display: flex; - padding-top: 60px; - min-height: calc(100vh); - flex-direction: column; -} - -body > .container .row { - flex: 1; -} - -footer { - margin-top: 45px; - padding: 35px 0 36px; - border-top: 1px solid #e5e5e5; - color: #666; - display: flex; -} -footer p { - margin-bottom: 0; -} -footer div { - flex: 1; -} -footer .pkgdown { - text-align: right; -} -footer p { - margin-bottom: 0; -} - -img.icon { - float: right; -} - -img { - max-width: 100%; -} - -/* Section anchors ---------------------------------*/ - -a.anchor { - margin-left: -30px; - display:inline-block; - width: 30px; - height: 30px; - visibility: hidden; - - background-image: url(./link.svg); - background-repeat: no-repeat; - background-size: 20px 20px; - background-position: center center; -} - -.hasAnchor:hover a.anchor { - visibility: visible; -} - -@media (max-width: 767px) { - .hasAnchor:hover a.anchor { - visibility: hidden; - } -} - - -/* Fixes for fixed navbar --------------------------*/ - -.contents h1, .contents h2, .contents h3, .contents h4 { - padding-top: 60px; - margin-top: -60px; -} - -/* Static header placement on mobile devices */ -@media (max-width: 767px) { - .navbar-fixed-top { - position: absolute; - } - .navbar { - padding: 0; - } -} - - -/* Sidebar --------------------------*/ - -#sidebar { - margin-top: 30px; -} -#sidebar h2 { - font-size: 1.5em; - margin-top: 1em; -} - -#sidebar h2:first-child { - margin-top: 0; -} - -#sidebar .list-unstyled li { - margin-bottom: 0.5em; -} - -/* Reference index & topics ----------------------------------------------- */ - -.ref-index th {font-weight: normal;} -.ref-index h2 {font-size: 20px;} - -.ref-index td {vertical-align: top;} -.ref-index .alias {width: 40%;} -.ref-index .title {width: 60%;} - -.ref-index .alias {width: 40%;} -.ref-index .title {width: 60%;} - -.ref-arguments th {text-align: right; padding-right: 10px;} -.ref-arguments th, .ref-arguments td {vertical-align: top;} -.ref-arguments .name {width: 20%;} -.ref-arguments .desc {width: 80%;} - -/* Nice scrolling for wide elements --------------------------------------- */ - -table { - display: block; - overflow: auto; -} - -/* Syntax highlighting ---------------------------------------------------- */ - -pre { - word-wrap: normal; - word-break: normal; - border: 1px solid #eee; -} - -pre, code { - background-color: #f8f8f8; - color: #333; -} - -pre .img { - margin: 5px 0; -} - -pre .img img { - background-color: #fff; - display: block; - height: auto; -} - -code a, pre a { - color: #375f84; -} - -.fl {color: #1514b5;} -.fu {color: #000000;} /* function */ -.ch,.st {color: #036a07;} /* string */ -.kw {color: #264D66;} /* keyword */ -.co {color: #888888;} /* comment */ - -.message { color: black; font-weight: bolder;} -.error { color: orange; font-weight: bolder;} -.warning { color: #6A0366; font-weight: bolder;} - diff --git a/docs/pkgdown.js b/docs/pkgdown.js deleted file mode 100644 index 4b817132..00000000 --- a/docs/pkgdown.js +++ /dev/null @@ -1,45 +0,0 @@ -$(function() { - $("#sidebar").stick_in_parent({offset_top: 40}); - $('body').scrollspy({ - target: '#sidebar', - offset: 60 - }); - - var cur_path = paths(location.pathname); - $("#navbar ul li a").each(function(index, value) { - if (value.text == "Home") - return; - if (value.getAttribute("href") === "#") - return; - - var path = paths(value.pathname); - if (is_prefix(cur_path, path)) { - // Add class to parent
  • , and enclosing
  • if in dropdown - var menu_anchor = $(value); - menu_anchor.parent().addClass("active"); - menu_anchor.closest("li.dropdown").addClass("active"); - } - }); -}); - -function paths(pathname) { - var pieces = pathname.split("/"); - pieces.shift(); // always starts with / - - var end = pieces[pieces.length - 1]; - if (end === "index.html" || end === "") - pieces.pop(); - return(pieces); -} - -function is_prefix(needle, haystack) { - if (needle.length > haystack.lengh) - return(false); - - for (var i = 0; i < haystack.length; i++) { - if (needle[i] != haystack[i]) - return(false); - } - - return(true); -} diff --git a/docs/reference/aggregateGAData.html b/docs/reference/aggregateGAData.html deleted file mode 100644 index 7ed7eca0..00000000 --- a/docs/reference/aggregateGAData.html +++ /dev/null @@ -1,218 +0,0 @@ - - - - - - - - -Aggregate a Google Analytics dataframe over inputted columns — aggregateGAData • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    A helper function to aggregate over dimensions

    - - -
    aggregateGAData(ga_data, agg_names = NULL,
    -  mean_regex = "^avg|^percent|Rate$|^CPC$|^CTR$|^CPM$|^RPC$|^ROI$|^ROAS$|Per")
    - -

    Arguments

    - - - - - - - - - - - - - - -
    ga_data

    A dataframe of data to aggregate

    agg_names

    The columns to aggregate over

    mean_regex

    The regex for column names to do mean() rather than sum()

    - -

    Details

    - -

    Will auto select metrics if they are numeric class columns. - Will auto perform mean aggregation it metric names match mean_regex argument - If agg_names is NULL will aggregate over all

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/allowed_metric_dim.html b/docs/reference/allowed_metric_dim.html deleted file mode 100644 index fb0e2607..00000000 --- a/docs/reference/allowed_metric_dim.html +++ /dev/null @@ -1,219 +0,0 @@ - - - - - - - - -Create named list of allowed GA metrics/dimensions — allowed_metric_dim • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Create named list of allowed GA metrics/dimensions

    - - -
    allowed_metric_dim(type = c("METRIC", "DIMENSION"), subType = c("all",
    -  "segment", "cohort"), callAPI = FALSE)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    type

    Type of parameter to create

    subType

    to restrict to only those in this type

    callAPI

    This will update the meta table (Requires online authorization)

    -

    This is useful to expand goalXCompletions to all the possibilities, - as well as restricting to those that variables that work with your API call.

    -

    Use internal meta table, but you have option to update to the latest version.

    - -

    Value

    - -

    A named list of parameters for use in API calls

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/anti_sample.html b/docs/reference/anti_sample.html deleted file mode 100644 index 4fa85ce4..00000000 --- a/docs/reference/anti_sample.html +++ /dev/null @@ -1,265 +0,0 @@ - - - - - - - - -Get a GA request with anti-sampling — anti_sample • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Calculates multiple API calls to avoid sampling

    - - -
    anti_sample(anti_sample_batches, viewId, date_range, metrics, dimensions,
    -  dim_filters, met_filters, filtersExpression, order, segments, pivots, cohorts,
    -  metricFormat, histogramBuckets, slow_fetch, rows_per_call)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    anti_sample_batches

    "auto" default, or set to number of days per batch. 1 = daily.

    viewId

    viewId of data to get.

    date_range

    character or date vector of format c(start, end) or -for two date ranges: c(start1,end1,start2,end2)

    metrics

    Metric to fetch. Supports calculated metrics.

    dimensions

    Dimensions to fetch.

    dim_filters

    A filter_clause_ga4 wrapping dim_filter

    met_filters

    A filter_clause_ga4 wrapping met_filter

    filtersExpression

    A v3 API style simple filter string. Not used with other filters.

    order

    An order_type object

    segments

    List of segments as created by segment_ga4

    pivots

    Pivots of the data as created by pivot_ga4

    cohorts

    Cohorts created by make_cohort_group

    metricFormat

    If supplying calculated metrics, specify the metric type

    histogramBuckets

    For numeric dimensions such as hour, a list of buckets of data. -See details in make_ga_4_req

    slow_fetch

    For large, complicated API requests this bypasses some API hacks that may result in 500 errors. For smaller queries, leave this as FALSE for quicker data fetching.

    rows_per_call

    Set how many rows are requested by the API per call, up to a maximum of 100000.

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/authDropdown.html b/docs/reference/authDropdown.html deleted file mode 100644 index 1acc6292..00000000 --- a/docs/reference/authDropdown.html +++ /dev/null @@ -1,232 +0,0 @@ - - - - - - - - -authDropdown [Shiny Module] — authDropdown • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Shiny Module for use with authDropdownUI

    - - -
    authDropdown(input, output, session, ga.table)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    input

    shiny input

    output

    shiny output

    session

    shiny session

    ga.table

    A table of GA tables

    - -

    Value

    - -

    GA View Id selected

    - -

    Details

    - -

    Call via shiny::callModule(authDropdown, "your_id")

    - -

    See also

    - -

    Other Shiny modules: authDropdownUI, - multi_selectUI, multi_select

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/authDropdownUI.html b/docs/reference/authDropdownUI.html deleted file mode 100644 index 572c6d90..00000000 --- a/docs/reference/authDropdownUI.html +++ /dev/null @@ -1,223 +0,0 @@ - - - - - - - - -authDropdown UI [Shiny Module] — authDropdownUI • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Makes a dropdown row for use for authentication.

    - - -
    authDropdownUI(id, width = NULL, inColumns = FALSE)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    id

    Shiny id.

    width

    The width of the input

    inColumns

    whether to wrap selectInputs in width=4 columns.

    -

    Shiny Module for use with authDropdown.

    - -

    Value

    - -

    Shiny UI

    - -

    See also

    - -

    Other Shiny modules: authDropdown, - multi_selectUI, multi_select

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/cat0.html b/docs/reference/cat0.html deleted file mode 100644 index cb9fc5ad..00000000 --- a/docs/reference/cat0.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -if argument is NULL, no line output — cat0 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    if argument is NULL, no line output

    - - -
    cat0(prefix = "", x)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/checkPrefix.html b/docs/reference/checkPrefix.html deleted file mode 100644 index 5c792a63..00000000 --- a/docs/reference/checkPrefix.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -check it starts with ga: and if not puts it on — checkPrefix • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    check it starts with ga: and if not puts it on

    - - -
    checkPrefix(x, prefix = c("ga", "mcf"))
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/chunkify.html b/docs/reference/chunkify.html deleted file mode 100644 index bad4d169..00000000 --- a/docs/reference/chunkify.html +++ /dev/null @@ -1,212 +0,0 @@ - - - - - - - - -Break down a request into unsampled chunks — chunkify • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Break down a request into unsampled chunks

    - - -
    chunkify(sessions_vec, limit = 250000)
    - -

    Arguments

    - - - - - - - - - - -
    sessions_vec

    A vector, ordered by date, with the number of sessions

    limit

    This is the upper bound for the number of sessions in one chunk

    - -

    Value

    - -

    A vector with the batch number of each date. This allows for usage in - a mutate.

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/cohort.html b/docs/reference/cohort.html deleted file mode 100644 index 44ec505d..00000000 --- a/docs/reference/cohort.html +++ /dev/null @@ -1,218 +0,0 @@ - - - - - - - - -Cohort object — cohort • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Cohort object

    - - -
    cohort(name, type = c("FIRST_VISIT_DATE"), dateRange)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    name

    A unique name for the cohort

    type

    Type of cohort. Only FIRST_VISIT_DATE is support at the moment.

    dateRange

    A date_ga4 object

    - -

    See also

    - -

    Other v4 cohort functions: cohortGroup, - cohort_dimension_check, - cohort_metric_check, - make_cohort_group

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/cohortGroup.html b/docs/reference/cohortGroup.html deleted file mode 100644 index 6e76f921..00000000 --- a/docs/reference/cohortGroup.html +++ /dev/null @@ -1,213 +0,0 @@ - - - - - - - - -Cohort Group object — cohortGroup • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Cohort Group object

    - - -
    cohortGroup(cohorts, lifetimeValue = FALSE)
    - -

    Arguments

    - - - - - - - - - - -
    cohorts

    A list of cohort objects

    lifetimeValue

    Boolean. Has to be an app.

    - -

    See also

    - -

    Other v4 cohort functions: cohort_dimension_check, - cohort_metric_check, cohort, - make_cohort_group

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/cohort_dimension_check.html b/docs/reference/cohort_dimension_check.html deleted file mode 100644 index e6ecdce5..00000000 --- a/docs/reference/cohort_dimension_check.html +++ /dev/null @@ -1,209 +0,0 @@ - - - - - - - - -Check the request has cohort dimensions — cohort_dimension_check • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Check the request has cohort dimensions

    - - -
    cohort_dimension_check(dimensions)
    - -

    Arguments

    - - - - - - -
    metrics

    A vector of dimensions

    - -

    See also

    - -

    Other v4 cohort functions: cohortGroup, - cohort_metric_check, cohort, - make_cohort_group

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/cohort_metric_check.html b/docs/reference/cohort_metric_check.html deleted file mode 100644 index 717be0dc..00000000 --- a/docs/reference/cohort_metric_check.html +++ /dev/null @@ -1,209 +0,0 @@ - - - - - - - - -Check the request has cohort metrics — cohort_metric_check • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Check the request has cohort metrics

    - - -
    cohort_metric_check(metrics)
    - -

    Arguments

    - - - - - - -
    metrics

    A vector of metrics

    - -

    See also

    - -

    Other v4 cohort functions: cohortGroup, - cohort_dimension_check, - cohort, make_cohort_group

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/date_ga4.html b/docs/reference/date_ga4.html deleted file mode 100644 index 49a13aff..00000000 --- a/docs/reference/date_ga4.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Make a date object — date_ga4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make a date object

    - - -
    date_ga4(dvector)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/dim_fil_ga4-class.html b/docs/reference/dim_fil_ga4-class.html deleted file mode 100644 index 1ed4138b..00000000 --- a/docs/reference/dim_fil_ga4-class.html +++ /dev/null @@ -1,190 +0,0 @@ - - - - - - - - -`dim_fil_ga4` class. — dim_fil_ga4-class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Dimension filter.

    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/dim_filter.html b/docs/reference/dim_filter.html deleted file mode 100644 index e8b29d53..00000000 --- a/docs/reference/dim_filter.html +++ /dev/null @@ -1,274 +0,0 @@ - - - - - - - - -Make a dimension filter object — dim_filter • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make a dimension filter object

    - - -
    dim_filter(dimension, operator = c("REGEXP", "BEGINS_WITH", "ENDS_WITH",
    -  "PARTIAL", "EXACT", "NUMERIC_EQUAL", "NUMERIC_GREATER_THAN",
    -  "NUMERIC_LESS_THAN", "IN_LIST"), expressions, caseSensitive = FALSE,
    -  not = FALSE)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - -
    dimension

    dimension name to filter on.

    operator

    How to match the dimension.

    expressions

    What to match. A character vector if operator is "IN_LIST"

    caseSensitive

    Boolean.

    not

    Logical NOT operator. Boolean.

    - -

    Value

    - -

    An object of class dim_fil_ga4 for use in filter_clause_ga4

    - -

    See also

    - -

    Other filter functions: filter_clause_ga4, - met_filter

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - -## create filters on metrics -mf <- met_filter("bounces", "GREATER_THAN", 0) -mf2 <- met_filter("sessions", "GREATER", 2) - -## create filters on dimensions -df <- dim_filter("source","BEGINS_WITH","1",not = TRUE) -df2 <- dim_filter("source","BEGINS_WITH","a",not = TRUE) - -## construct filter objects -fc2 <- filter_clause_ga4(list(df, df2), operator = "AND") -fc <- filter_clause_ga4(list(mf, mf2), operator = "AND") - -## make v4 request -ga_data1 <- google_analytics_4(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('sessions','bounces'), - met_filters = fc, - dim_filters = fc2, - filtersExpression = "ga:source!=(direct)") - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/dimension_ga4.html b/docs/reference/dimension_ga4.html deleted file mode 100644 index 56b86c1d..00000000 --- a/docs/reference/dimension_ga4.html +++ /dev/null @@ -1,223 +0,0 @@ - - - - - - - - -Make a dimension object — dimension_ga4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make a dimension object

    - - -
    dimension_ga4(vector, histogramBuckets = NULL)
    - -

    Arguments

    - - - - - - - - - - -
    vector

    A character vector of dimension names

    histogramBuckets

    Optional named list of histogram buckets vectors

    - -

    Value

    - -

    a list suitable for parsing in req

    - -

    histograms

    - - -

    If supplying histogramBuckets, the name will be used to create the buckets

    -

    e.g. dimensions = c("source", "medium") - histogramBuckets = list(source = c(1,5,10,20,200), - medium = c(0,7,14,21,999)) -

    -

    Warning: only makes sense to apply to dimensions that are numeric e.g. ga:hour

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/dynamicSegment.html b/docs/reference/dynamicSegment.html deleted file mode 100644 index 8076dfea..00000000 --- a/docs/reference/dynamicSegment.html +++ /dev/null @@ -1,209 +0,0 @@ - - - - - - - - -Dynamic Segment v4 object — dynamicSegment • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Dynamic Segment v4 object

    - - -
    dynamicSegment(name, userSegment, sessionSegment)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    name

    Name of dynamic segment

    userSegment

    userSegment to include in the segment

    sessionSegment

    sessionSegment to include in the segment

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/error.message.html b/docs/reference/error.message.html deleted file mode 100644 index e68443bb..00000000 --- a/docs/reference/error.message.html +++ /dev/null @@ -1,207 +0,0 @@ - - - - - - - - -Get the error message — error.message • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get the error message

    - - -
    error.message(test_me)
    - -

    Arguments

    - - - - - - -
    test_me

    an object that has failed is.error

    - -

    Value

    - -

    The error message

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/expect_null_or_s3_class.html b/docs/reference/expect_null_or_s3_class.html deleted file mode 100644 index 0133806f..00000000 --- a/docs/reference/expect_null_or_s3_class.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Expect NULL or class (s3) — expect_null_or_s3_class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    wraps assertthat::assert_that(inherits(thing, s3class))() to run if not NULL

    - - -
    expect_null_or_s3_class(thing, s3class)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/expect_null_or_type.html b/docs/reference/expect_null_or_type.html deleted file mode 100644 index 5c812adb..00000000 --- a/docs/reference/expect_null_or_type.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Expect NULL or type — expect_null_or_type • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    wraps assertthat::assert_that to run if not NULL

    - - -
    expect_null_or_type(thing, type)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/fetch_google_analytics_4.html b/docs/reference/fetch_google_analytics_4.html deleted file mode 100644 index d4db1777..00000000 --- a/docs/reference/fetch_google_analytics_4.html +++ /dev/null @@ -1,263 +0,0 @@ - - - - - - - - -Fetch multiple GAv4 requests — fetch_google_analytics_4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Fetch the GAv4 requests as created by make_ga_4_req

    - - -
    fetch_google_analytics_4(request_list, merge = FALSE,
    -  useResourceQuotas = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    request_list

    A list of requests created by make_ga_4_req

    merge

    If TRUE then will rbind that list of data.frames

    useResourceQuotas

    If using GA360, access increased sampling limits. -Default NULL, set to TRUE or FALSE if you have access to this feature.

    - -

    Value

    - -

    A dataframe if one request, or a list of data.frames if multiple.

    - -

    Details

    - -

    For same viewId, daterange, segments, samplingLevel and cohortGroup, v4 batches can be made

    - -

    See also

    - -

    Other GAv4 fetch functions: fetch_google_analytics_4_slow, - google_analytics, - make_ga_4_req

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - -ga_req1 <- make_ga_4_req(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('sessions')) - -ga_req2 <- make_ga_4_req(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('users')) - -fetch_google_analytics_4(list(ga_req1, ga_req2)) - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/fetch_google_analytics_4_slow.html b/docs/reference/fetch_google_analytics_4_slow.html deleted file mode 100644 index 83bb8f79..00000000 --- a/docs/reference/fetch_google_analytics_4_slow.html +++ /dev/null @@ -1,230 +0,0 @@ - - - - - - - - -Fetch GAv4 requests one at a time — fetch_google_analytics_4_slow • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Due to large complicated queries causing the v4 API to timeout, - this option is added to fetch via the more traditional one report per request

    - - -
    fetch_google_analytics_4_slow(request_list, max_rows, allRows = FALSE,
    -  useResourceQuotas = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    request_list

    A list of requests created by make_ga_4_req

    max_rows

    Number of rows requested (if not fetched)

    allRows

    Whether to fetch all available rows

    useResourceQuotas

    If using GA360, access increased sampling limits. -Default NULL, set to TRUE or FALSE if you have access to this feature.

    - -

    Value

    - -

    A dataframe of all the requests

    - -

    See also

    - -

    Other GAv4 fetch functions: fetch_google_analytics_4, - google_analytics, - make_ga_4_req

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/filter_clause_ga4.html b/docs/reference/filter_clause_ga4.html deleted file mode 100644 index 2aead601..00000000 --- a/docs/reference/filter_clause_ga4.html +++ /dev/null @@ -1,268 +0,0 @@ - - - - - - - - -Make a dimension or metric filter clause object — filter_clause_ga4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make a dimension or metric filter clause object

    - - -
    filter_clause_ga4(filters, operator = c("OR", "AND"))
    - -

    Arguments

    - - - - - - - - - - -
    filters

    a list of dim_filter or met_filter. Only one type allowed.

    operator

    combination of filter.

    - -

    Value

    - -

    An object of class dim_fil_ga4 or met_fil_ga4 - for use in make_ga_4_req

    - -

    Details

    - -

    If you have dimension and metric filters, - make the clauses in two separate calls, then pass the objects to make_ga_4_req

    - -

    See also

    - -

    Other filter functions: dim_filter, - met_filter

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - -## create filters on metrics -mf <- met_filter("bounces", "GREATER_THAN", 0) -mf2 <- met_filter("sessions", "GREATER", 2) - -## create filters on dimensions -df <- dim_filter("source","BEGINS_WITH","1",not = TRUE) -df2 <- dim_filter("source","BEGINS_WITH","a",not = TRUE) - -## construct filter objects -fc2 <- filter_clause_ga4(list(df, df2), operator = "AND") -fc <- filter_clause_ga4(list(mf, mf2), operator = "AND") - -## make v4 request -ga_data1 <- google_analytics_4(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('sessions','bounces'), - met_filters = fc, - dim_filters = fc2, - filtersExpression = "ga:source!=(direct)") - -# }
    - -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_account_list.html b/docs/reference/ga_account_list.html deleted file mode 100644 index 024ef4e9..00000000 --- a/docs/reference/ga_account_list.html +++ /dev/null @@ -1,228 +0,0 @@ - - - - - - - - -Get account summary including the ViewId — google_analytics_account_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get account summary including the ViewId

    - - -
    google_analytics_account_list()
    -
    -ga_account_list()
    - -

    Value

    - -

    a dataframe of all account, webproperty and view data

    - -

    See also

    - -

    https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/management/accountSummaries/list

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_accounts.html b/docs/reference/ga_accounts.html deleted file mode 100644 index f49d7254..00000000 --- a/docs/reference/ga_accounts.html +++ /dev/null @@ -1,226 +0,0 @@ - - - - - - - - -Get account list — ga_accounts • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - - - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_adwords.html b/docs/reference/ga_adwords.html deleted file mode 100644 index 25e65d9c..00000000 --- a/docs/reference/ga_adwords.html +++ /dev/null @@ -1,244 +0,0 @@ - - - - - - - - -Get AdWords Link meta data — ga_adwords • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get AdWords Link meta data

    - - -
    ga_adwords(accountId, webPropertyId, webPropertyAdWordsLinkId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    webPropertyAdWordsLinkId

    AdWords Link Id

    - -

    Value

    - -

    AdWords Meta data

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_adwords_list.html b/docs/reference/ga_adwords_list.html deleted file mode 100644 index 25bbd368..00000000 --- a/docs/reference/ga_adwords_list.html +++ /dev/null @@ -1,240 +0,0 @@ - - - - - - - - -List AdWords — ga_adwords_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List AdWords

    - - -
    ga_adwords_list(accountId, webPropertyId)
    - -

    Arguments

    - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    - -

    Value

    - -

    AdWords Links

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_auth.html b/docs/reference/ga_auth.html deleted file mode 100644 index b1d36e9c..00000000 --- a/docs/reference/ga_auth.html +++ /dev/null @@ -1,271 +0,0 @@ - - - - - - - - -Authenticate with Google Analytics OAuth2 — ga_auth • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    A wrapper for gar_auth and gar_auth_service

    - - -
    ga_auth(token = NULL, new_user = FALSE, no_auto = FALSE)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    token

    An existing token or file location of a token to authenticate with

    new_user

    If TRUE, reauthenticate via Google login screen

    no_auto

    Skip auto authentication

    - -

    Value

    - -

    Invisibly, the token that has been saved to the session

    - -

    Details

    - -

    Run this function first time to authenticate with Google in your browser.

    -

    After initial authentication, a .httr-oauth will be saved to your working directory, where your authentication details are kept. Keep this file safe.

    -

    If you want to reauthenticate, delete this file from your directory or run ga_auth(new_user = TRUE)

    - -

    Multiple accounts

    - - -

    You can authenticate with a new auth file for each account. Supply argument token with the name of the cache file you want to use e.g. ga_auth(token = "one.httr-oauth") for one account, - ga_auth(token = "another.httr-oauth") for a different account.

    - -

    Auto-authentication

    - - -

    You can choose to auto-authenticate by moving your .httr-oauth or by - creating a Google OAuth service account JSON file.

    -

    Specify an environment variable in R via a .Renviron file or using Sys.setenv which point to the file location of your chosen authentication file. See Startup

    -

    Once you have set the environment variable GA_AUTH_FILE to a valid file location, - the function will look there for authentication details upon loading the library meaning - you will not need to call ga_auth() yourself as you would normally.

    -

    An example .Renviron file is below: - GA_AUTH_FILE = "/Users/bob/auth/googleAnalyticsR.httr-oauth" - GA_AUTH_FILE can be either a auth file for a token generated by gar_auth or - service account JSON ending with file extension .json

    - -

    Your own Google Project

    - - -

    Be default the Google Project used is shared by all users, so you may find it runs out of API calls. -To mitigate that, create your own Google Project and turn on the Analytics APIs.

    -

    You can then create your own client ID and client secret, to place in options or environment arguments (whichever is easiest)

    -

    The environment args are below. Similar to auto-authentication, you can place your entries in an .Renviron file - -GA_CLIENT_ID="XXXX" -GA_CLIENT_SECRET="XXX" -GA_WEB_CLIENT_ID="XXX" -GA_WEB_CLIENT_SECRET="XXX" -

    - -

    Service accounts

    - - -

    If you use the service account JSON, you will need to add the service account email - to your Google Analytics users to see data e.g. xxxx@yyyyyy.iam.gserviceaccount.com

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_cache_call.html b/docs/reference/ga_cache_call.html deleted file mode 100644 index 66cf9cec..00000000 --- a/docs/reference/ga_cache_call.html +++ /dev/null @@ -1,208 +0,0 @@ - - - - - - - - -Setup caching of API calls — ga_cache_call • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Lets you cache API calls to disk

    - - -
    ga_cache_call(cache_location)
    - -

    Arguments

    - - - - - - -
    cache_location

    If RAM will save to memory, or specify a file folder location

    - -

    Details

    - -

    By default this is turned on upon package load to RAM. - Should you want to cache calls to a folder then run this function to specify where.

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_custom_datasource.html b/docs/reference/ga_custom_datasource.html deleted file mode 100644 index 3197811d..00000000 --- a/docs/reference/ga_custom_datasource.html +++ /dev/null @@ -1,225 +0,0 @@ - - - - - - - - -List Custom Data Sources — ga_custom_datasource • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get a list of custom data sources you have configured in Google Analytics web UI.

    - - -
    ga_custom_datasource(accountId, webPropertyId)
    - -

    Arguments

    - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    - -

    Value

    - -

    Custom Data Source

    - -

    Details

    - -

    You primarily need this to get the customDataSourceId for the uploads via ga_custom_upload_file

    - -

    See also

    - -

    Other custom datasource functions: ga_custom_upload_file, - ga_custom_upload_list, - ga_custom_upload

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_custom_upload.html b/docs/reference/ga_custom_upload.html deleted file mode 100644 index 7c63e5b3..00000000 --- a/docs/reference/ga_custom_upload.html +++ /dev/null @@ -1,276 +0,0 @@ - - - - - - - - -Custom Data Source Upload Status — ga_custom_upload • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get the status of a custom upload

    - - -
    ga_custom_upload(accountId, webPropertyId, customDataSourceId, uploadId,
    -  upload_object)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    customDataSourceId

    Custom data source Id

    uploadId

    upload Id

    upload_object

    A custom upload Id object. Supply this or the other arguments.

    - -

    Value

    - -

    An object of class ga_custom_data_source_upload

    - -

    Details

    - -

    You can supply either upload_object generated via function or ga_custom_upload_file, or make an

    - -

    See also

    - -

    Other custom datasource functions: ga_custom_datasource, - ga_custom_upload_file, - ga_custom_upload_list

    - - -

    Examples

    -
    -
    # NOT RUN { -upload_me <- data.frame(medium = "shinyapps", - source = "referral", - adCost = 1, - date = "20160801") - -obj <- ga_custom_upload_file(47850439, - "UA-4748043-2", - "_jDsJHSFSU-uw038Bh8fUg", - upload_me) - -## obj will initially have status = PENDING -obj -==Google Analytics Custom Data Source Upload== -Custom Data Source ID: _jDsJHSFSU-uw038Bh8fUg -Account ID: 47850439 -Web Property Id: UA-4748043-2 -Upload ID: 7yHLAkeLSiK1zveVTiWZwA -Status: PENDING - -## Send obj to ga_custom_upload() to check and renew status -obj <- ga_custom_upload(upload_object = obj) -obj - -==Google Analytics Custom Data Source Upload== -Custom Data Source ID: _jDsJHSFSU-uw038Bh8fUg -Account ID: 47850439 -Web Property Id: UA-4748043-2 -Upload ID: 7yHLAkeLSiK1zveVTiWZwA -Status: COMPLETED - -# } -
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_custom_upload_file.html b/docs/reference/ga_custom_upload_file.html deleted file mode 100644 index 7065064f..00000000 --- a/docs/reference/ga_custom_upload_file.html +++ /dev/null @@ -1,278 +0,0 @@ - - - - - - - - -Upload data to Google Analytics — ga_custom_upload_file • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Upload external data up to 1GB to Google Analytics via the management API.

    - - -
    ga_custom_upload_file(accountId, webPropertyId, customDataSourceId, upload)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    customDataSourceId

    Custom data source Id

    upload

    An R data.frame or a file path location (character)

    - -

    Value

    - -

    An object of class ga_custom_data_source_upload

    - -

    Details

    - -

    You need to create a custom data source in the web UI first.

    -

    If you are uploading an R data frame, the function will prefix the column names with "ga:" for you if necessary.

    -

    After upload check the status by querying data sources using ga_custom_upload - and examining the status field.

    -

    Currently only supports simple uploads (not resumable).

    - -

    See also

    - -

    A guide for preparing the data is available: from Google here.

    -

    The dev guide for this function: Data Import Developer Guide

    -

    Other custom datasource functions: ga_custom_datasource, - ga_custom_upload_list, - ga_custom_upload

    - - -

    Examples

    -
    -
    # NOT RUN { -upload_me <- data.frame(medium = "shinyapps", - source = "referral", - adCost = 1, - date = "20160801") - -obj <- ga_custom_upload_file(47850439, - "UA-4748043-2", - "_jDsJHSFSU-uw038Bh8fUg", - upload_me) - -## obj will initially have status = PENDING -obj -==Google Analytics Custom Data Source Upload== -Custom Data Source ID: _jDsJHSFSU-uw038Bh8fUg -Account ID: 47850439 -Web Property Id: UA-4748043-2 -Upload ID: 7yHLAkeLSiK1zveVTiWZwA -Status: PENDING - -## Send obj to ga_custom_upload() to check and renew status -obj <- ga_custom_upload(upload_object = obj) -obj - -==Google Analytics Custom Data Source Upload== -Custom Data Source ID: _jDsJHSFSU-uw038Bh8fUg -Account ID: 47850439 -Web Property Id: UA-4748043-2 -Upload ID: 7yHLAkeLSiK1zveVTiWZwA -Status: COMPLETED - -# } -
    - -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_custom_upload_list.html b/docs/reference/ga_custom_upload_list.html deleted file mode 100644 index 189641c3..00000000 --- a/docs/reference/ga_custom_upload_list.html +++ /dev/null @@ -1,223 +0,0 @@ - - - - - - - - -List Custom Data Source Uploads — ga_custom_upload_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List Custom Data Source Uploads

    - - -
    ga_custom_upload_list(accountId, webPropertyId, customDataSourceId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    customDataSourceId

    Custom data source Id

    - -

    Value

    - -

    Custom Data Source Uploads List

    - -

    See also

    - -

    Other custom datasource functions: ga_custom_datasource, - ga_custom_upload_file, - ga_custom_upload

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_custom_vars.html b/docs/reference/ga_custom_vars.html deleted file mode 100644 index d0621b15..00000000 --- a/docs/reference/ga_custom_vars.html +++ /dev/null @@ -1,248 +0,0 @@ - - - - - - - - -Get Custom Dimensions or Metrics — ga_custom_vars • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get Custom Dimensions or Metrics

    - - -
    ga_custom_vars(accountId, webPropertyId, type = c("customMetrics",
    -  "customDimensions"), customId)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    type

    A customMetric or customDimension

    customId

    The customMetricId or customDimensionId

    - -

    Value

    - -

    Custom Metric or Dimension meta data

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_custom_vars_list.html b/docs/reference/ga_custom_vars_list.html deleted file mode 100644 index da9e0a98..00000000 --- a/docs/reference/ga_custom_vars_list.html +++ /dev/null @@ -1,244 +0,0 @@ - - - - - - - - -List Custom Dimensions or Metrics — ga_custom_vars_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List Custom Dimensions or Metrics

    - - -
    ga_custom_vars_list(accountId, webPropertyId, type = c("customMetrics",
    -  "customDimensions"))
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    type

    A customMetric or customDimension

    - -

    Value

    - -

    Custom Metric or Dimension List

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_experiment.html b/docs/reference/ga_experiment.html deleted file mode 100644 index a056a957..00000000 --- a/docs/reference/ga_experiment.html +++ /dev/null @@ -1,248 +0,0 @@ - - - - - - - - -Experiments Meta data — ga_experiment • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Experiments Meta data

    - - -
    ga_experiment(accountId, webPropertyId, profileId, experimentId)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile Id

    experimentId

    Experiment Id

    - -

    Value

    - -

    Experiment Meta Data

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_experiment_list.html b/docs/reference/ga_experiment_list.html deleted file mode 100644 index 2a037798..00000000 --- a/docs/reference/ga_experiment_list.html +++ /dev/null @@ -1,243 +0,0 @@ - - - - - - - - -List Experiments — ga_experiment_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List Experiments

    - - -
    ga_experiment_list(accountId, webPropertyId, profileId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile Id

    - -

    Value

    - -

    Experiments List

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter.html b/docs/reference/ga_filter.html deleted file mode 100644 index 9eb67abb..00000000 --- a/docs/reference/ga_filter.html +++ /dev/null @@ -1,240 +0,0 @@ - - - - - - - - -Get specific filter for account — ga_filter • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get specific filter for account

    - - -
    ga_filter(accountId, filterId)
    - -

    Arguments

    - - - - - - - - - - -
    accountId

    Account Id

    filterId

    Filter Id

    - -

    Value

    - -

    filter list

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_goal_list, - ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_add.html b/docs/reference/ga_filter_add.html deleted file mode 100644 index d8e10d2e..00000000 --- a/docs/reference/ga_filter_add.html +++ /dev/null @@ -1,332 +0,0 @@ - - - - - - - - -Create a new filter and add it to the view (optional). — ga_filter_add • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Take a filter object and add and/or apply it so its live.

    - - -
    ga_filter_add(Filter, accountId, webPropertyId = NULL, viewId = NULL,
    -  linkFilter = FALSE)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - -
    Filter

    The Filter object to be added to the account or view. See examples.

    accountId

    Account Id of the account to add the Filter to

    webPropertyId

    Property Id of the property to add the Filter to

    viewId

    View Id of the view to add the Filter to

    linkFilter

    If TRUE will apply the Filter to the view. Needs propetyId and viewId to be set.

    - -

    Value

    - -

    The filterId created if linkFilter=FALSE or a Filter object if linkFilter=TRUE

    - -

    Details

    - -

    If you don't set linkFilter=TRUE then the filter will only be created but not applied. -You will find it listed in the admin panel Account > All Filters. You can then use ga_filter_apply_to_view to apply later on.

    - -

    See also

    - -

    https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/#Filters

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -

    Examples

    -
    -
    # NOT RUN { -## Create a filter object for adding an IP exclusion: -Filter <- list( - name = 'Exclude Internal Traffic', - type = 'EXCLUDE', - excludeDetails = list( - field = 'GEO_IP_ADDRESS', - matchType = 'EQUAL', - expressionValue = '199.04.123.1', - caseSensitive = 'False' - ) - ) - -# create and add the filter to the view specified -my_filter <- ga_filter_add(Filter, - accountId = 12345, - webPropertyId = "UA-12345-1", - viewId = 654321, - linkFilter = TRUE) - -# only create the filter, don't apply it to any view - returns filterId for use later -my_filter <- ga_filter_add(Filter, - accountId = 12345, - linkFilter = FALSE) - -## Other examples of filters you can create below: -## Create a filter object for making campaign medium lowercase -Filter <- list( - name = 'Lowercase Campaign Medium', - type = 'LOWERCASE', - lowercaseDetails = list( - field = 'CAMPAIGN_MEDIUM' - ) - ) - -## Create a filter object to append hostname to URI -Filter <- list( - name = 'Append hostname to URI', - type = 'ADVANCED', - advancedDetails = list( - fieldA = 'PAGE_HOSTNAME', - extractA = '(.*)', - fieldARequired = 'True', - fieldB = 'PAGE_REQUEST_URI', - extractB = '(.*)', - fieldBRequired = 'False', - outputConstructor = '$A1$B1', - outputToField = 'PAGE_REQUEST_URI', - caseSensitive = 'False', - overrideOutputField = 'True' - ) - ) - -## Create a filter object to add www hostname without it -Filter <- list( - name = 'Search and Replace www', - type = 'SEARCH_AND_REPLACE', - searchAndReplaceDetails = list( - field = 'PAGE_HOSTNAME', - searchString = '^exampleUSA\\.com$', - replaceString = 'www.exampleUSA.com', - caseSensitive = 'False' - ) - ) - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_apply_to_view.html b/docs/reference/ga_filter_apply_to_view.html deleted file mode 100644 index a24f3f97..00000000 --- a/docs/reference/ga_filter_apply_to_view.html +++ /dev/null @@ -1,247 +0,0 @@ - - - - - - - - -Apply an existing filter to view. — ga_filter_apply_to_view • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Apply an existing filter to view.

    - - -
    ga_filter_apply_to_view(filterId, accountId, webPropertyId, viewId)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    filterId

    The id of the filter to be addedd to profile/view

    accountId

    Account Id of the account that contains the filter

    webPropertyId

    Web property Id to create profile filter link for

    viewId

    Profile/view Id to create profile filter link for

    - -

    Value

    - -

    A profileFilterLink object

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_delete.html b/docs/reference/ga_filter_delete.html deleted file mode 100644 index 35d25d6e..00000000 --- a/docs/reference/ga_filter_delete.html +++ /dev/null @@ -1,252 +0,0 @@ - - - - - - - - -Delete a filter from account or remove from view. — ga_filter_delete • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Delete a filter from account or remove from view.

    - - -
    ga_filter_delete(accountId, webPropertyId = NULL, viewId = NULL, filterId,
    -  removeFromView = FALSE)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id of the account that contains the filter

    webPropertyId

    Property Id of the property that contains the filter

    viewId

    View Id of the view that contains the filter

    filterId

    Filter Id of the filter to be deleted

    removeFromView

    Default if FALSE. If TRUE, deletes the filter from the view

    - -

    Value

    - -

    TRUE if successful

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_list.html b/docs/reference/ga_filter_list.html deleted file mode 100644 index 820e0e6a..00000000 --- a/docs/reference/ga_filter_list.html +++ /dev/null @@ -1,235 +0,0 @@ - - - - - - - - -List filters for account — ga_filter_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List filters for account

    - - -
    ga_filter_list(accountId)
    - -

    Arguments

    - - - - - - -
    accountId

    Account Id

    - -

    Value

    - -

    filter list

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_update.html b/docs/reference/ga_filter_update.html deleted file mode 100644 index 6df73d61..00000000 --- a/docs/reference/ga_filter_update.html +++ /dev/null @@ -1,281 +0,0 @@ - - - - - - - - -Updates an existing filter. — ga_filter_update • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Updates an existing filter.

    - - -
    ga_filter_update(Filter, accountId, filterId, method = c("PUT", "PATCH"))
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    Filter

    The Filter object to be updated -See examples from ga_filter_add()

    accountId

    Account Id of the account that contains the filter

    filterId

    The id of the filter to be modified

    method

    PUT by default. For patch semantics use PATCH

    - -

    Value

    - -

    A filterManagement object

    - -

    See also

    - -

    https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/#Filters

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -

    Examples

    -
    -
    # NOT RUN { -# create a filter object -Filter <- list( - name = 'googleAnalyticsR test1: Exclude Internal Traffic', - type = 'EXCLUDE', - excludeDetails = list( - field = 'GEO_IP_ADDRESS', - matchType = 'EQUAL', - expressionValue = '199.04.123.1', - caseSensitive = 'False' - ) - ) - # add a filter (but don't link to a View) - filterId <- ga_filter_add(Filter, - accountId = 123456, - linkFilter = FALSE) - - # change the name of the filter - change_name <- "googleAnalyticsR test2: Changed name via PATCH" - - # using PATCH semantics, only need to construct what you want to change - filter_to_update <- list(name = test_name) - - # update the filter using the filterId - ga_filter_update(filter_to_update, accountId2, filterId, method = "PATCH") - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_update_filter_link.html b/docs/reference/ga_filter_update_filter_link.html deleted file mode 100644 index 538c0fe4..00000000 --- a/docs/reference/ga_filter_update_filter_link.html +++ /dev/null @@ -1,287 +0,0 @@ - - - - - - - - -Update an existing profile filter link. Patch semantics supported — ga_filter_update_filter_link • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Update an existing profile filter link. Patch semantics supported

    - - -
    ga_filter_update_filter_link(viewFilterLink, accountId, webPropertyId, viewId,
    -  linkId, method = c("PUT", "PATCH"))
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - -
    viewFilterLink

    The profileFilterLink object

    accountId

    Account Id of the account that contains the filter

    webPropertyId

    Web property Id to which the profile filter link belongs

    viewId

    View Id to which the profile filter link belongs

    linkId

    The id of the profile filter link to be updated

    method

    PUT by default. Supports patch semantics when set to PATCH

    - -

    See also

    - -

    https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/management/profileFilterLinks

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -

    Examples

    -
    -
    # NOT RUN { -# create a filter object -Filter <- list( - name = 'googleAnalyticsR test: Exclude Internal Traffic', - type = 'EXCLUDE', - excludeDetails = list( - field = 'GEO_IP_ADDRESS', - matchType = 'EQUAL', - expressionValue = '199.04.123.1', - caseSensitive = 'False' - ) - ) - - # link Filter to a View - response <- ga_filter_add(Filter, - accountId = 12345, - webPropertyId = "UA-12345-1", - viewId = 654321, - linkFilter = TRUE) - -# create Filter patch to move existing filter up to rank 1 -viewFilterLink <- list(rank = 1) - -# use the linkId given in response$id to update to new rank 1 -response2 <- ga_filter_update_filter_link(viewFilterLink, - accountId = 12345, - webPropertyId = "UA-12345-1", - viewId = 654321, - linkId = response$id) - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_view.html b/docs/reference/ga_filter_view.html deleted file mode 100644 index 3fdd6da8..00000000 --- a/docs/reference/ga_filter_view.html +++ /dev/null @@ -1,248 +0,0 @@ - - - - - - - - -Get specific filter for view (profile) — ga_filter_view • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get specific filter for view (profile)

    - - -
    ga_filter_view(accountId, webPropertyId, viewId, linkId)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    viewId

    Profile Id

    linkId

    Link Id

    - -

    Value

    - -

    filter list

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter, ga_goal_list, - ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_filter_view_list.html b/docs/reference/ga_filter_view_list.html deleted file mode 100644 index aa93bac6..00000000 --- a/docs/reference/ga_filter_view_list.html +++ /dev/null @@ -1,243 +0,0 @@ - - - - - - - - -List filters for view (profile) — ga_filter_view_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List filters for view (profile)

    - - -
    ga_filter_view_list(accountId, webPropertyId, viewId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    viewId

    Profile Id

    - -

    Value

    - -

    filter list

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_goal.html b/docs/reference/ga_goal.html deleted file mode 100644 index 6c075474..00000000 --- a/docs/reference/ga_goal.html +++ /dev/null @@ -1,248 +0,0 @@ - - - - - - - - -Get goal — ga_goal • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get goal

    - - -
    ga_goal(accountId, webPropertyId, profileId, goalId)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile Id

    goalId

    Goal Id

    - -

    Value

    - -

    Goal meta data

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_goal_list.html b/docs/reference/ga_goal_list.html deleted file mode 100644 index 4222747f..00000000 --- a/docs/reference/ga_goal_list.html +++ /dev/null @@ -1,244 +0,0 @@ - - - - - - - - -List goals — ga_goal_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List goals

    - - -
    ga_goal_list(accountId, webPropertyId, profileId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile Id

    - -

    Value

    - -

    Goal list

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_remarketing_estimate.html b/docs/reference/ga_remarketing_estimate.html deleted file mode 100644 index ecc605d9..00000000 --- a/docs/reference/ga_remarketing_estimate.html +++ /dev/null @@ -1,239 +0,0 @@ - - - - - - - - -Estimate number of users added to the segment yesterday — ga_remarketing_estimate • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Estimate number of users added to the segment yesterday

    - - -
    ga_remarketing_estimate(remarketingAudience)
    - -

    Arguments

    - - - - - - -
    remarketingAudience

    A remarketing audience object from ga_remarketing_get

    -

    Takes the segment definition from a remarketing audiences and runs - it against the viewId to see current estimated users

    -

    The total audience size is this figure for every membershipDurationDay from yesterday

    - -

    Value

    - -

    data.frame

    - -

    See also

    - -

    About remarketing audiences

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_remarketing_get.html b/docs/reference/ga_remarketing_get.html deleted file mode 100644 index 59750e93..00000000 --- a/docs/reference/ga_remarketing_get.html +++ /dev/null @@ -1,244 +0,0 @@ - - - - - - - - -Get a remarketing audience — ga_remarketing_get • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get a remarketing audience

    - - -
    ga_remarketing_get(accountId, webPropertyId, remarketingAudienceId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    remarketingAudienceId

    The ID of the remarketing audience to retrieve.

    - -

    Value

    - -

    Remarketing Audience object

    - -

    See also

    - -

    About remarketing audiences

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_remarketing_list.html b/docs/reference/ga_remarketing_list.html deleted file mode 100644 index ef70d9c2..00000000 --- a/docs/reference/ga_remarketing_list.html +++ /dev/null @@ -1,240 +0,0 @@ - - - - - - - - -List remarketing audiences — ga_remarketing_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List remarketing audiences

    - - -
    ga_remarketing_list(accountId, webPropertyId)
    - -

    Arguments

    - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    - -

    Value

    - -

    Remarketing audience list

    - -

    See also

    - -

    About remarketing audiences

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_segment_list.html b/docs/reference/ga_segment_list.html deleted file mode 100644 index 0d8ab0e1..00000000 --- a/docs/reference/ga_segment_list.html +++ /dev/null @@ -1,225 +0,0 @@ - - - - - - - - -Get segments user has access to — ga_segment_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    - - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_unsampled.html b/docs/reference/ga_unsampled.html deleted file mode 100644 index 41f89dc9..00000000 --- a/docs/reference/ga_unsampled.html +++ /dev/null @@ -1,247 +0,0 @@ - - - - - - - - -Get Unsampled Report Meta Data — ga_unsampled • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get Unsampled Report Meta Data

    - - -
    ga_unsampled(accountId, webPropertyId, profileId, unsampledReportId)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile Id

    unsampledReportId

    Unsampled Report Id

    - -

    Value

    - -

    Unsampled Report Meta Data

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_users_list, ga_view_list, - ga_view, ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_unsampled_download.html b/docs/reference/ga_unsampled_download.html deleted file mode 100644 index 18f941fe..00000000 --- a/docs/reference/ga_unsampled_download.html +++ /dev/null @@ -1,251 +0,0 @@ - - - - - - - - -Download Unsampled Report from Google Drive — ga_unsampled_download • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Download Unsampled Report from Google Drive

    - - -
    ga_unsampled_download(reportTitle, accountId, webPropertyId, profileId,
    -  downloadFile = TRUE)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - -
    reportTitle

    Title of Unsampled Report (case-sensitive)

    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile Id

    downloadFile

    Default TRUE, whether to download, if FALSE returns a dataframe instead

    - -

    Value

    - -

    file location if downloadFile is TRUE, else a data.frame of download

    - - -

    Examples

    -
    -
    # NOT RUN { - # get data.frame of unsampled reports you have available - unsample_list <- ga_unsampled_list(accountId = "12345", - webPropertyId = "UA-12345-4", - profileId = "129371234") - - # loop through unsampled reports and download as a list of data.frames - dl <- lapply(unsample_list$title, ga_unsampled_download, - accountId = "12345", - webPropertyId = "UA-12345-4", - profileId = "129371234", - downloadFile = FALSE) - - # inspect first data.frame - dl[[1]] - - # download unsampled report to csv file - ga_unsampled_download("my_report_title", - accountId = "12345", - webPropertyId = "UA-12345-4", - profileId = "129371234") - -# }
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_unsampled_list.html b/docs/reference/ga_unsampled_list.html deleted file mode 100644 index 42d0c961..00000000 --- a/docs/reference/ga_unsampled_list.html +++ /dev/null @@ -1,273 +0,0 @@ - - - - - - - - -List Unsampled Reports — ga_unsampled_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List Unsampled Reports

    - - -
    ga_unsampled_list(accountId, webPropertyId, profileId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile Id

    - -

    Value

    - -

    Unsampled Reports List

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -

    Examples

    -
    -
    # NOT RUN { - # get data.frame of unsampled reports you have available - unsample_list <- ga_unsampled_list(accountId = "12345", - webPropertyId = "UA-12345-4", - profileId = "129371234") - - # loop through unsampled reports and download as a list of data.frames - dl <- lapply(unsample_list$title, ga_unsampled_download, - accountId = "12345", - webPropertyId = "UA-12345-4", - profileId = "129371234", - downloadFile = FALSE) - - # inspect first data.frame - dl[[1]] - - # download unsampled report to csv file - ga_unsampled_download("my_report_title", - accountId = "12345", - webPropertyId = "UA-12345-4", - profileId = "129371234") - -# }
    - - -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_users_list.html b/docs/reference/ga_users_list.html deleted file mode 100644 index 57916214..00000000 --- a/docs/reference/ga_users_list.html +++ /dev/null @@ -1,237 +0,0 @@ - - - - - - - - -List Users — ga_users_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Will list users on an account, webproperty or view level

    - - -
    ga_users_list(accountId, webPropertyId = NULL, viewId = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id - leave NULL to fetch account level only

    viewId

    viewId - leave NULL to fetch webProperty level only

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_view_list, - ga_view, ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_view.html b/docs/reference/ga_view.html deleted file mode 100644 index ecce933c..00000000 --- a/docs/reference/ga_view.html +++ /dev/null @@ -1,244 +0,0 @@ - - - - - - - - -Get single View (Profile) — ga_view • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get single View (Profile)

    - - -
    ga_view(accountId, webPropertyId, profileId)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    profileId

    Profile (View) Id

    - -

    Value

    - -

    webproperty

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, - ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_view_list.html b/docs/reference/ga_view_list.html deleted file mode 100644 index 8086cf29..00000000 --- a/docs/reference/ga_view_list.html +++ /dev/null @@ -1,239 +0,0 @@ - - - - - - - - -List View (Profile) — ga_view_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List View (Profile)

    - - -
    ga_view_list(accountId, webPropertyId)
    - -

    Arguments

    - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    - -

    Value

    - -

    webproperty

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view, ga_webproperty_list, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_webproperty.html b/docs/reference/ga_webproperty.html deleted file mode 100644 index 44d3cddb..00000000 --- a/docs/reference/ga_webproperty.html +++ /dev/null @@ -1,239 +0,0 @@ - - - - - - - - -Get web property — ga_webproperty • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get web property

    - - -
    ga_webproperty(accountId, webPropertyId)
    - -

    Arguments

    - - - - - - - - - - -
    accountId

    Account Id

    webPropertyId

    Web Property Id

    - -

    Value

    - -

    webproperty

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty_list, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/ga_webproperty_list.html b/docs/reference/ga_webproperty_list.html deleted file mode 100644 index 529ae908..00000000 --- a/docs/reference/ga_webproperty_list.html +++ /dev/null @@ -1,235 +0,0 @@ - - - - - - - - -List web properties — ga_webproperty_list • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    List web properties

    - - -
    ga_webproperty_list(accountId)
    - -

    Arguments

    - - - - - - -
    accountId

    Account Id

    - -

    Value

    - -

    webproperty list

    - -

    See also

    - -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, ga_filter_add, - ga_filter_apply_to_view, - ga_filter_delete, - ga_filter_list, - ga_filter_update_filter_link, - ga_filter_update, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_remarketing_estimate, - ga_remarketing_get, - ga_remarketing_list, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_users_list, - ga_view_list, ga_view, - ga_webproperty, - google_analytics_account_list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/getColNameOfClass.html b/docs/reference/getColNameOfClass.html deleted file mode 100644 index 11962631..00000000 --- a/docs/reference/getColNameOfClass.html +++ /dev/null @@ -1,211 +0,0 @@ - - - - - - - - -Gets the names of a dataframe's columns of a certain class — getColNameOfClass • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Gets the names of a dataframe's columns of a certain class

    - - -
    getColNameOfClass(df, class_name)
    - -

    Arguments

    - - - - - - - - - - -
    df

    dataframe

    class_name

    the R class to return columns of

    - -

    Value

    - -

    names of columns of class

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/googleAnalyticsR.html b/docs/reference/googleAnalyticsR.html deleted file mode 100644 index 3e2de264..00000000 --- a/docs/reference/googleAnalyticsR.html +++ /dev/null @@ -1,218 +0,0 @@ - - - - - - - - -Library for getting Google Analytics data into R — googleAnalyticsR • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Follow the online documentation here: http://code.markedmondson.me/googleAnalyticsR/

    - - - -

    Details

    - -
      -
    • First Google Analytics Reporting v4 API library for R

    • -
    • v4 features include: dynamic calculated metrics, pivots, - histograms, date comparisons, batching

    • -
    • Multi-user login in Shiny App

    • -
    • Integration with BigQuery Google Analytics Premium/360 exports

    • -
    • Single authentication flow with other 'googleAuthR' apps

    • -
    • Automatic batching

    • -
    • sampling avoidance with daily walk

    • -
    • multi-account fetching

    • -
    • multi-channel funnnels

    • -
    • Support for batch. For big data calls this could - be 10x quicker than normal GA fetching

    • -
    • Meta data included in attributes of returned dataframe

    • -
    -

    You may wish to set the below environment arguments for easier authentication - -GA_CLIENT_ID -GA_CLIENT_SECRET -GA_WEB_CLIENT_ID -GA_WEB_CLIENT_SECRET -GA_AUTH_FILE -

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/google_analytics.html b/docs/reference/google_analytics.html deleted file mode 100644 index 0a4e3a00..00000000 --- a/docs/reference/google_analytics.html +++ /dev/null @@ -1,377 +0,0 @@ - - - - - - - - -Get Google Analytics v4 data — google_analytics • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Fetch Google Analytics data using the v4 API. For the v3 API use google_analytics_3.

    -

    Will perform automatic batching if over the 100000 row per API call limit.

    - - -
    google_analytics(viewId, date_range = NULL, metrics = NULL,
    -  dimensions = NULL, dim_filters = NULL, met_filters = NULL,
    -  filtersExpression = NULL, order = NULL, segments = NULL,
    -  pivots = NULL, cohorts = NULL, max = 1000,
    -  samplingLevel = c("DEFAULT", "SMALL", "LARGE"), metricFormat = NULL,
    -  histogramBuckets = NULL, anti_sample = FALSE,
    -  anti_sample_batches = "auto", slow_fetch = FALSE,
    -  useResourceQuotas = NULL, rows_per_call = 10000L)
    -
    -google_analytics_4(...)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    viewId

    viewId of data to get.

    date_range

    character or date vector of format c(start, end) or -for two date ranges: c(start1,end1,start2,end2)

    metrics

    Metric to fetch. Supports calculated metrics.

    dimensions

    Dimensions to fetch.

    dim_filters

    A filter_clause_ga4 wrapping dim_filter

    met_filters

    A filter_clause_ga4 wrapping met_filter

    filtersExpression

    A v3 API style simple filter string. Not used with other filters.

    order

    An order_type object

    segments

    List of segments as created by segment_ga4

    pivots

    Pivots of the data as created by pivot_ga4

    cohorts

    Cohorts created by make_cohort_group

    max

    Maximum number of rows to fetch. Defaults at 1000. Use -1 to fetch all results. Ignored when anti_sample=TRUE.

    samplingLevel

    Sample level

    metricFormat

    If supplying calculated metrics, specify the metric type

    histogramBuckets

    For numeric dimensions such as hour, a list of buckets of data. -See details in make_ga_4_req

    anti_sample

    If TRUE will split up the call to avoid sampling.

    anti_sample_batches

    "auto" default, or set to number of days per batch. 1 = daily.

    slow_fetch

    For large, complicated API requests this bypasses some API hacks that may result in 500 errors. For smaller queries, leave this as FALSE for quicker data fetching.

    useResourceQuotas

    If using GA360, access increased sampling limits. -Default NULL, set to TRUE or FALSE if you have access to this feature.

    rows_per_call

    Set how many rows are requested by the API per call, up to a maximum of 100000.

    ...

    Arguments passed to google_analytics

    - -

    Value

    - -

    A Google Analytics data.frame, with attributes showing row totals, sampling etc.

    - -

    Row requests

    - - -

    By default the API call will use v4 batching that splits requests into 5 seperate calls of 10k rows each. This can go up to 100k, so this means up to 500k rows can be fetched per API call, however the API servers will fail with a 500 error if the query is too complicated as the processing time at Google's end gets too long. In this case, you may want to tweak the rows_per_call argument downwards, or fall back to using slow_fetch = FALSE which will send an API request one at a time. If fetching data via scheduled scripts this is recommended as the default.

    - -

    Anti-sampling

    - - -

    anti_sample being TRUE ignores max as the API call is split over days - to mitigate the sampling session limit, in which case a row limit won't work. Take the top rows - of the result yourself instead e.g. head(ga_data_unsampled, 50300) - anti_sample being TRUE will also set samplingLevel='LARGE' to minimise - the number of calls.

    - -

    Resource Quotas

    - - -

    If you are on GA360 and have access to resource quotas, - set the useResourceQuotas=TRUE and set the Google Cloud - client ID to the project that has resource quotas activated, - via gar_set_client or options.

    - -

    Caching

    - - -

    By default local caching is turned on for v4 API requests. This means that - making the same request as one this session will read from memory and not - make an API call. You can also set the cache to disk via - the gar_cache_setup function. This can be useful - when running RMarkdown reports using data. To empty the cache use - gar_cache_empty.

    - -

    See also

    - -

    Other GAv4 fetch functions: fetch_google_analytics_4_slow, - fetch_google_analytics_4, - make_ga_4_req

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, or use the RStudio Addin "Google API Auth" with analytics scopes set - -ga_auth() - -## get your accounts - -account_list <- google_analytics_account_list() - -## account_list will have a column called "viewId" -account_list$viewId - -## View account_list and pick the viewId you want to extract data from -ga_id <- 123456 - -## simple query to test connection -google_analytics(ga_id, - date_range = c("2017-01-01", "2017-03-01"), - metrics = "sessions", - dimensions = "date") - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/google_analytics_3.html b/docs/reference/google_analytics_3.html deleted file mode 100644 index 793ca80c..00000000 --- a/docs/reference/google_analytics_3.html +++ /dev/null @@ -1,336 +0,0 @@ - - - - - - - - -Get Google Analytics v3 data (formerly google_analytics()) — google_analytics_3 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Legacy v3 API, for more modern API use google_analytics.

    - - -
    google_analytics_3(id, start, end, metrics = c("sessions", "bounceRate"),
    -  dimensions = NULL, sort = NULL, filters = NULL, segment = NULL,
    -  samplingLevel = c("DEFAULT", "FASTER", "HIGHER_PRECISION", "WALK"),
    -  max_results = 100, multi_account_batching = FALSE, type = c("ga",
    -  "mcf"))
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    id

    A character vector of View Ids to fetch from.

    start

    Start date in YYY-MM-DD format.

    end

    End date in YYY-MM-DD format.

    metrics

    A character vector of metrics. With or without ga: prefix.

    dimensions

    A character vector of dimensions. With or without ga: prefix.

    sort

    How to sort the results, in form 'ga:sessions,-ga:bounceRate'

    filters

    Filters for the result, in form 'ga:sessions>0;ga:pagePath=~blah'

    segment

    How to segment.

    samplingLevel

    Choose "WALK" to mitigate against sampling.

    max_results

    Default 100. If greater than 10,000 then will batch GA calls.

    multi_account_batching

    If TRUE then multiple id's are fetched together. -Not compatible with samplingLevel="WALK" or max_results>10000

    type

    ga = Google Analytics v3; mcf = Multi-Channel Funels.

    - -

    Value

    - -

    For one id a data.frame of data, with meta-data in attributes. - For multiple id's, a list of dataframes.

    - -

    See also

    - -

    https://developers.google.com/analytics/devguides/reporting/core/v3/

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## Authenticate in Google OAuth2 -## this also sets options -ga_auth() - -## if you need to re-authenticate use ga_auth(new_user=TRUE) -## if you have your own Google Dev console project keys, -## then don't run ga_auth() as that will set to the defaults. -## instead put your options here, and run googleAuthR::gar_auth() - -## get account info, including View Ids -account_list <- google_analytics_account_list() -ga_id <- account_list$viewId[1] - -## get a list of what metrics and dimensions you can use - -meta <- google_analytics_meta() -head(meta) - -## pick the account_list$viewId you want to see data for. -## metrics and dimensions can have or have not "ga:" prefix - -gadata <- google_analytics(id = ga_id, - start="2015-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium")) - - ## multi accounts, pass character vector of viewIds - ## outputs a list of data.frames, named after the viewId - multi_gadata <- google_analytics(id = c("123456","9876545","765432"), - start="2015-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium")) - -## if more than 10000 rows in results, auto batching -## example is setting lots of dimensions to try and create big sampled data -batch_gadata <- google_analytics(id = ga_id, - start="2014-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium", - "landingPagePath", - "hour","minute"), - max=99999999) - -## mitigate sampling by setting samplingLevel="WALK" -## this will send lots and lots of calls to the Google API limits, beware -walk_gadata <- google_analytics(id = ga_id, - start="2014-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium", "landingPagePath"), - max=99999999, samplingLevel="WALK") - -## multi-channel funnels set type="mcf" -mcf_gadata <- google_analytics(id = ga_id, - start="2015-08-01", end="2015-08-02", - metrics = c("totalConversions"), - dimensions = c("sourcePath"), - type="mcf") - - -## reach meta-data via attr() -attr(gadata, "profileInfo") -attr(gadata, "dateRange") - - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/google_analytics_4.html b/docs/reference/google_analytics_4.html deleted file mode 100644 index 11976dec..00000000 --- a/docs/reference/google_analytics_4.html +++ /dev/null @@ -1,273 +0,0 @@ - - - - - - - - -google_analytics_4. googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - - - -
    -
    - -

    A convenience function that wraps make_ga_4_req and fetch_google_analytics_4 - for the common case of one GA data request.

    - -

    Will perform automatic batching if over the 10000 row per API call limit.

    - - -
    google_analytics_4(viewId, date_range = NULL, metrics = NULL,
    -  dimensions = NULL, dim_filters = NULL, met_filters = NULL,
    -  filtersExpression = NULL, order = NULL, segments = NULL,
    -  pivots = NULL, cohorts = NULL, max = 1000,
    -  samplingLevel = c("DEFAULT", "SMALL", "LARGE"), metricFormat = NULL,
    -  histogramBuckets = NULL, anti_sample = FALSE,
    -  anti_sample_batches = "auto")
    - -

    Arguments

    -
    -
    viewId
    -
    viewId of data to get.
    -
    date_range
    -
    character or date vector of format c(start, end) or -for two date ranges: c(start1,end1,start2,end2)
    -
    metrics
    -
    Metric to fetch. Supports calculated metrics.
    -
    dimensions
    -
    Dimensions to fetch.
    -
    dim_filters
    -
    A filter_clause_ga4 wrapping dim_filter
    -
    met_filters
    -
    A filter_clause_ga4 wrapping met_filter
    -
    filtersExpression
    -
    A v3 API style simple filter string. Not used with other filters.
    -
    order
    -
    An order_type object
    -
    segments
    -
    List of segments as created by segment_ga4
    -
    pivots
    -
    Pivots of the data as created by pivot_ga4
    -
    cohorts
    -
    Cohorts created by make_cohort_group
    -
    max
    -
    Maximum number of rows to fetch. Defaults at 1000. Use -1 to fetch all results.
    -
    samplingLevel
    -
    Sample level
    -
    metricFormat
    -
    If supplying calculated metrics, specify the metric type
    -
    histogramBuckets
    -
    For numeric dimensions such as hour, a list of buckets of data. -See details in make_ga_4_req
    -
    anti_sample
    -
    If TRUE will split up the call to avoid sampling.
    -
    anti_sample_batches
    -
    "auto" default, or set to number of days per batch. 1 = daily.
    -
    - -
    -

    Value

    - -

    A Google Analytics data.frame

    -
    - -
    -

    Anti-sampling

    - -

    -

    anti_sample being TRUE ignores max as the API call is split over days - to mitigate the sampling session limit, in which case a row limit won't work. Take the top rows - of the result yourself instead e.g. head(ga_data_unsampled, 50300)

    -

    If you are lucky enough to need sub-day sampling, it will attempt to fetch per hour, but you are - restricted to not using dim_filter argument if this is the case. - Try using filtersExpression instead.

    -

    anti_sample being TRUE will also set samplingLevel='LARGE' to minimise - the number of calls.

    -
    - -
    -

    See also

    - -

    Other GAv4 fetch functions: fetch_google_analytics_4, - make_ga_4_req

    -
    - -

    Examples

    -
    -## Not run: ------------------------------------ -# library(googleAnalyticsR) -# -# ## authenticate, -# ## or use the RStudio Addin "Google API Auth" with analytics scopes set -# ga_auth() -# -# ## get your accounts -# account_list <- google_analytics_account_list() -# -# ## pick a profile with data to query -# -# ga_id <- account_list[23,'viewId'] -# -# ga_data <- google_analytics_4(ga_id, -# date_range = c("2015-07-30","2015-10-01"), -# dimensions=c('source','medium'), -# metrics = c('sessions','bounces')) -# -## ---------------------------------------------
    -
    -
    -
    -
    - - -
    - - - diff --git a/docs/reference/google_analytics_4_parse.html b/docs/reference/google_analytics_4_parse.html deleted file mode 100644 index 7d254132..00000000 --- a/docs/reference/google_analytics_4_parse.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -ga v4 data parsing — google_analytics_4_parse • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    x is response_list$reports[[1]] from google_analytics_4_parse_batch

    - - -
    google_analytics_4_parse(x)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/google_analytics_4_parse_batch.html b/docs/reference/google_analytics_4_parse_batch.html deleted file mode 100644 index 38449212..00000000 --- a/docs/reference/google_analytics_4_parse_batch.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -ga v4 parse batching — google_analytics_4_parse_batch • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    ga v4 parse batching

    - - -
    google_analytics_4_parse_batch(response_list)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/google_analytics_account_list.html b/docs/reference/google_analytics_account_list.html deleted file mode 100644 index 1a85bceb..00000000 --- a/docs/reference/google_analytics_account_list.html +++ /dev/null @@ -1,201 +0,0 @@ - - - - - - - - -google_analytics_account_list. googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - - - -
    -
    - -

    Get account summary including the ViewId

    - - -
    google_analytics_account_list()
    - -
    -

    Value

    - -

    a dataframe of all account, webproperty and view data

    -
    - -
    -

    See also

    - -

    https://developers.google.com/analytics/devguides/config/mgmt/v3/mgmtReference/management/accountSummaries/list

    -

    Other managementAPI functions: ga_accounts, - ga_adwords_list, ga_adwords, - ga_custom_vars_list, - ga_custom_vars, - ga_experiment_list, - ga_experiment, - ga_filter_list, - ga_filter_view_list, - ga_filter_view, ga_filter, - ga_goal_list, ga_goal, - ga_segment_list, - ga_unsampled_list, - ga_unsampled, ga_view_list, - ga_view, ga_webproperty_list, - ga_webproperty

    -
    -
    -
    -
    -
    - - -
    - - - diff --git a/docs/reference/google_analytics_bq.html b/docs/reference/google_analytics_bq.html deleted file mode 100644 index 4c2491cc..00000000 --- a/docs/reference/google_analytics_bq.html +++ /dev/null @@ -1,281 +0,0 @@ - - - - - - - - -Get Google Analytics 360 BigQuery data — google_analytics_bq • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Turn a google_analytics style call into BigQuery SQL. -Used with Google Analytics 360 BigQuery exports.

    - - -
    google_analytics_bq(projectId, datasetId, start = NULL, end = NULL,
    -  metrics = NULL, dimensions = NULL, sort = NULL, filters = NULL,
    -  max_results = 100, query = NULL, return_query_only = FALSE,
    -  bucket = NULL, download_file = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    projectId

    The Google project Id where the BigQuery exports sit

    datasetId

    DatasetId of GA export. This should match the GA View ID

    start

    start date

    end

    end date

    metrics

    metrics to query

    dimensions

    dimensions to query

    sort

    metric to sort by

    filters

    filter results

    max_results

    How many results to fetch

    query

    If query is non-NULL then it will use that and ignore above

    return_query_only

    Only return the constructed query, don't call BigQuery

    bucket

    if over 100000 results, specify a Google Cloud bucket to send data to

    download_file

    Where to save asynch files. If NULL saves to current working directory.

    - -

    Value

    - -

    data.frame of results

    - -

    Details

    - -

    All data will be unsampled, and requests will cost money against your BigQuery quota.

    -

    Requires installation of bigQueryR and authentication under ga_bq_auth() -or googleAuthR::gar_auth() with BigQuery scope set. -View your projectIds upon authentication via bqr_list_projects

    -

    No segments for now.

    -

    Goals are not specified in BQ exports, so you need to look at how you define them and replicate per view -e.g. unique pageviews or unique events.

    -

    Custom dimensions can be specified as session or hit level, so ignoring the setting in GA interface.

    -

    You can get a sample Google Analytics dataset in bigquery by following the instructions - here: https://support.google.com/analytics/answer/3416091?hl=en

    - -

    See also

    - -

    https://support.google.com/analytics/answer/4419694?hl=en - https://support.google.com/analytics/answer/3437719?hl=en

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/google_analytics_bq_asynch.html b/docs/reference/google_analytics_bq_asynch.html deleted file mode 100644 index ba8b2e46..00000000 --- a/docs/reference/google_analytics_bq_asynch.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Asynch fetch — google_analytics_bq_asynch • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Asynch fetch

    - - -
    google_analytics_bq_asynch(projectId, datasetId, query, bucket, download_file)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/google_analytics_meta.html b/docs/reference/google_analytics_meta.html deleted file mode 100644 index a2d2059f..00000000 --- a/docs/reference/google_analytics_meta.html +++ /dev/null @@ -1,203 +0,0 @@ - - - - - - - - -Get current dimensions and metrics available in GA API. — google_analytics_meta • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Get current dimensions and metrics available in GA API.

    - - -
    google_analytics_meta()
    - -

    Value

    - -

    dataframe of dimensions and metrics available to use

    - -

    See also

    - -

    https://developers.google.com/analytics/devguides/reporting/metadata/v3/reference/metadata/columns/list

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/hourly_anti_sample.html b/docs/reference/hourly_anti_sample.html deleted file mode 100644 index 9aef0195..00000000 --- a/docs/reference/hourly_anti_sample.html +++ /dev/null @@ -1,176 +0,0 @@ - - - - - - - - -hourly_anti_sample. googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - - - -
    -
    - -

    hourly get request with anti-sampling

    - - -
    hourly_anti_sample(viewId, the_day, metrics, dimensions, dim_filters,
    -  met_filters, filtersExpression, order, segments, max, pivots, cohorts,
    -  metricFormat, histogramBuckets, read_counts)
    -
    -
    -
    -
    - - -
    - - - diff --git a/docs/reference/idempotency.html b/docs/reference/idempotency.html deleted file mode 100644 index 4c88418f..00000000 --- a/docs/reference/idempotency.html +++ /dev/null @@ -1,197 +0,0 @@ - - - - - - - - -Idempotency — idempotency • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    A random code to ensure no repeats

    - - -
    idempotency()
    - -

    Value

    - -

    A random 15 digit hash

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/index.html b/docs/reference/index.html deleted file mode 100644 index c6e0d42d..00000000 --- a/docs/reference/index.html +++ /dev/null @@ -1,654 +0,0 @@ - - - - - - - - -Function reference • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - -
    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -

    Authentication

    -

    Authentication with Google

    -
    -

    ga_auth

    -

    Authenticate with Google Analytics OAuth2

    -

    authDropdownUI

    -

    authDropdown UI [Shiny Module]

    -

    authDropdown

    -

    authDropdown [Shiny Module]

    -

    Reporting API

    -

    Fetching data from the reporting API.

    -
    -

    google_analytics google_analytics_4

    -

    Get Google Analytics v4 data

    -

    Meta Data

    -

    Useful metadata

    -
    -

    google_analytics_account_list ga_account_list

    -

    Get account summary including the ViewId

    -

    meta

    -

    Google Analytics API metadata

    -

    google_analytics_meta

    -

    Get current dimensions and metrics available in GA API.

    -

    v4 filters

    -

    Using filters in a request

    -
    -

    filter_clause_ga4

    -

    Make a dimension or metric filter clause object

    -

    met_filter

    -

    Make a metric filter object

    -

    dim_filter

    -

    Make a dimension filter object

    -

    v4 Segments

    -

    Building segments

    -
    -

    ga_segment_list

    -

    Get segments user has access to

    -

    segment_define

    -

    Make a segment definition

    -

    segment_element

    -

    Make a segment element

    -

    segment_ga4

    -

    Make a segment object for use

    -

    segment_vector_sequence

    -

    Make sequenceSegment

    -

    segment_vector_simple

    -

    Make a simple segment vector

    -

    segmentBuilder

    -

    Create a GAv4 Segment Builder

    -

    segmentBuilderUI

    -

    Create a GAv4 Segment Builder

    -

    Cohorts

    -

    Cohort reports

    -
    -

    make_cohort_group

    -

    Create a cohort group

    -

    Pivots

    -

    Pivot reports

    -
    -

    pivot_ga4

    -

    Make a pivot object

    -

    Shiny

    -

    Shiny functions

    -
    -

    multi_select

    -

    multi_select [Shiny Module]

    -

    multi_selectUI

    -

    multi_select UI [Shiny Module]

    -

    Management API

    -

    Management API functions

    -
    -

    google_analytics_account_list ga_account_list

    -

    Get account summary including the ViewId

    -

    ga_accounts

    -

    Get account list

    -

    ga_adwords_list

    -

    List AdWords

    -

    ga_adwords

    -

    Get AdWords Link meta data

    -

    ga_auth

    -

    Authenticate with Google Analytics OAuth2

    -

    ga_cache_call

    -

    Setup caching of API calls

    -

    ga_custom_datasource

    -

    List Custom Data Sources

    -

    ga_custom_upload_file

    -

    Upload data to Google Analytics

    -

    ga_custom_upload_list

    -

    List Custom Data Source Uploads

    -

    ga_custom_upload

    -

    Custom Data Source Upload Status

    -

    ga_custom_vars_list

    -

    List Custom Dimensions or Metrics

    -

    ga_custom_vars

    -

    Get Custom Dimensions or Metrics

    -

    ga_experiment_list

    -

    List Experiments

    -

    ga_experiment

    -

    Experiments Meta data

    -

    ga_filter_add

    -

    Create a new filter and add it to the view (optional).

    -

    ga_filter_apply_to_view

    -

    Apply an existing filter to view.

    -

    ga_filter_delete

    -

    Delete a filter from account or remove from view.

    -

    ga_filter_list

    -

    List filters for account

    -

    ga_filter_update_filter_link

    -

    Update an existing profile filter link. Patch semantics supported

    -

    ga_filter_update

    -

    Updates an existing filter.

    -

    ga_filter_view_list

    -

    List filters for view (profile)

    -

    ga_filter_view

    -

    Get specific filter for view (profile)

    -

    ga_filter

    -

    Get specific filter for account

    -

    ga_goal_list

    -

    List goals

    -

    ga_goal

    -

    Get goal

    -

    ga_remarketing_estimate

    -

    Estimate number of users added to the segment yesterday

    -

    ga_remarketing_get

    -

    Get a remarketing audience

    -

    ga_remarketing_list

    -

    List remarketing audiences

    -

    ga_segment_list

    -

    Get segments user has access to

    -

    ga_unsampled_download

    -

    Download Unsampled Report from Google Drive

    -

    ga_unsampled_list

    -

    List Unsampled Reports

    -

    ga_unsampled

    -

    Get Unsampled Report Meta Data

    -

    ga_users_list

    -

    List Users

    -

    ga_view_list

    -

    List View (Profile)

    -

    ga_view

    -

    Get single View (Profile)

    -

    ga_webproperty_list

    -

    List web properties

    -

    ga_webproperty

    -

    Get web property

    -

    make_ga_4_req

    -

    Make a Google Analytics v4 API fetch

    -

    BigQuery

    -

    Connecting to BigQuery

    -
    -

    google_analytics_bq

    -

    Get Google Analytics 360 BigQuery data

    -
    -
    - - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/is.NullOb.html b/docs/reference/is.NullOb.html deleted file mode 100644 index 96eb24f2..00000000 --- a/docs/reference/is.NullOb.html +++ /dev/null @@ -1,194 +0,0 @@ - - - - - - - - -A helper function that tests whether an object is either NULL _or_ -a list of NULLs — is.NullOb • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    A helper function that tests whether an object is either NULL _or_ -a list of NULLs

    - - -
    is.NullOb(x)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/is.error.html b/docs/reference/is.error.html deleted file mode 100644 index 4a517c86..00000000 --- a/docs/reference/is.error.html +++ /dev/null @@ -1,207 +0,0 @@ - - - - - - - - -Is this a try error? — is.error • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Utility to test errors

    - - -
    is.error(test_me)
    - -

    Arguments

    - - - - - - -
    test_me

    an object created with try()

    - -

    Value

    - -

    Boolean

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/listNameToDFCol.html b/docs/reference/listNameToDFCol.html deleted file mode 100644 index a9cc5536..00000000 --- a/docs/reference/listNameToDFCol.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Add name of list entry of dataframe to dataframe column — listNameToDFCol • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Add name of list entry of dataframe to dataframe column

    - - -
    listNameToDFCol(named_list, colName = "listName")
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/makeOrFilters.html b/docs/reference/makeOrFilters.html deleted file mode 100644 index 878ee894..00000000 --- a/docs/reference/makeOrFilters.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Make orFiltersForSegment — makeOrFilters • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make orFiltersForSegment

    - - -
    makeOrFilters(segment_element_list)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/makePivotData.html b/docs/reference/makePivotData.html deleted file mode 100644 index 67f770a5..00000000 --- a/docs/reference/makePivotData.html +++ /dev/null @@ -1,212 +0,0 @@ - - - - - - - - -Make pivot data rows — makePivotData • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make pivot data rows

    - - -
    makePivotData(pivotRows, pivotNames, index = 1)
    - -

    Arguments

    - - - - - - - - - - -
    pivotRows

    from x$data$rows

    index

    1 for normal data, 2 for date comparison

    - -

    See also

    - -

    Other pivot functions: makePivotNames, - pivot_ga4_parse

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/makePivotNames.html b/docs/reference/makePivotNames.html deleted file mode 100644 index 568a5758..00000000 --- a/docs/reference/makePivotNames.html +++ /dev/null @@ -1,198 +0,0 @@ - - - - - - - - -Make pivot column names — makePivotNames • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make pivot column names

    - - -
    makePivotNames(pivotHeaders)
    - -

    See also

    - -

    Other pivot functions: makePivotData, - pivot_ga4_parse

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/make_cohort_group.html b/docs/reference/make_cohort_group.html deleted file mode 100644 index bc873836..00000000 --- a/docs/reference/make_cohort_group.html +++ /dev/null @@ -1,264 +0,0 @@ - - - - - - - - -Create a cohort group — make_cohort_group • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Create a cohort group

    - - -
    make_cohort_group(cohorts, lifetimeValue = FALSE, cohort_types = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    cohorts

    A named list of start/end date pairs

    lifetimeValue

    lifetimeValue TRUE or FALSE. Only works for webapps.

    cohort_types

    placeholder, does nothing as only FIRST_VISIT_DATE supported.

    - -

    Value

    - -

    A cohortGroup object

    - -

    Details

    - -

    Example: list("cohort 1" = c("2015-08-01", "2015-08-01"), - "cohort 2" = c("2015-07-01","2015-07-01"))

    - -

    See also

    - -

    https://developers.google.com/analytics/devguides/reporting/core/v4/advanced#cohort_and_lifetime_value_ltv_dimensions_and_metrics

    -

    Other v4 cohort functions: cohortGroup, - cohort_dimension_check, - cohort_metric_check, cohort

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - - -## first make a cohort group - -cohort4 <- make_cohort_group(list("cohort 1" = c("2015-08-01", "2015-08-01"), - "cohort 2" = c("2015-07-01","2015-07-01"))) - -## then call cohort report. No date_range and must include metrics and dimensions -## from the cohort list -cohort_example <- google_analytics(ga_id, - dimensions=c('cohort'), - cohort = cohort4, - metrics = c('cohortTotalUsers')) - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/make_ga_4_req.html b/docs/reference/make_ga_4_req.html deleted file mode 100644 index 216dcd1b..00000000 --- a/docs/reference/make_ga_4_req.html +++ /dev/null @@ -1,353 +0,0 @@ - - - - - - - - -Make a Google Analytics v4 API fetch — make_ga_4_req • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    This function constructs the Google Analytics API v4 call to be called - via fetch_google_analytics_4

    - - -
    make_ga_4_req(viewId, date_range = NULL, metrics = NULL,
    -  dimensions = NULL, dim_filters = NULL, met_filters = NULL,
    -  filtersExpression = NULL, order = NULL, segments = NULL,
    -  pivots = NULL, cohorts = NULL, pageToken = 0, pageSize = 1000,
    -  samplingLevel = c("DEFAULT", "SMALL", "LARGE"), metricFormat = NULL,
    -  histogramBuckets = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    viewId

    viewId of data to get.

    date_range

    character or date vector of format c(start, end) or -for two date ranges: c(start1,end1,start2,end2)

    metrics

    Metric to fetch. Supports calculated metrics.

    dimensions

    Dimensions to fetch.

    dim_filters

    A filter_clause_ga4 wrapping dim_filter

    met_filters

    A filter_clause_ga4 wrapping met_filter

    filtersExpression

    A v3 API style simple filter string. Not used with other filters.

    order

    An order_type object

    segments

    List of segments as created by segment_ga4

    pivots

    Pivots of the data as created by pivot_ga4

    cohorts

    Cohorts created by make_cohort_group

    pageToken

    Where to start the data fetch

    pageSize

    How many rows to fetch. Max 100000 each batch.

    samplingLevel

    Sample level

    metricFormat

    If supplying calculated metrics, specify the metric type

    histogramBuckets

    For numeric dimensions such as hour, a list of buckets of data. -See details in make_ga_4_req

    - -

    Metrics

    - - -

    Metrics support calculated metrics like ga:users / ga:sessions if you supply - them in a named vector.

    -

    You must supply the correct 'ga:' prefix unlike normal metrics

    -

    You can mix calculated and normal metrics like so:

    -

    customMetric <- c(sessionPerVisitor = "ga:sessions / ga:visitors", - "bounceRate", - "entrances")

    -

    You can also optionally supply a metricFormat parameter that must be - the same length as the metrics. metricFormat can be: - METRIC_TYPE_UNSPECIFIED, INTEGER, FLOAT, CURRENCY, PERCENT, TIME

    -

    All metrics are currently parsed to as.numeric when in R.

    - -

    Dimensions

    - - -

    Supply a character vector of dimensions, with or without ga: prefix.

    -

    Optionally for numeric dimension types such as - ga:hour, ga:browserVersion, ga:sessionsToTransaction, etc. supply - histogram buckets suitable for histogram plots.

    -

    If non-empty, we place dimension values into buckets after string to int64. - Dimension values that are not the string representation of an integral value - will be converted to zero. The bucket values have to be in increasing order. - Each bucket is closed on the lower end, and open on the upper end. - The "first" bucket includes all values less than the first boundary, - the "last" bucket includes all values up to infinity. - Dimension values that fall in a bucket get transformed to a new dimension - value. For example, if one gives a list of "0, 1, 3, 4, 7", then we - return the following buckets: -

      -
    • bucket #1: values < 0, dimension value "<0"

    • -
    • bucket #2: values in [0,1), dimension value "0"

    • -
    • bucket #3: values in [1,3), dimension value "1-2"

    • -
    • bucket #4: values in [3,4), dimension value "3"

    • -
    • bucket #5: values in [4,7), dimension value "4-6"

    • -
    • bucket #6: values >= 7, dimension value "7+"

    • -
    - -

    See also

    - -

    Other GAv4 fetch functions: fetch_google_analytics_4_slow, - fetch_google_analytics_4, - google_analytics

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - -ga_req1 <- make_ga_4_req(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('sessions')) - -ga_req2 <- make_ga_4_req(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('users')) - -fetch_google_analytics_4(list(ga_req1, ga_req2)) - -# }
    - -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/met_fil_ga4-class.html b/docs/reference/met_fil_ga4-class.html deleted file mode 100644 index 1d820537..00000000 --- a/docs/reference/met_fil_ga4-class.html +++ /dev/null @@ -1,190 +0,0 @@ - - - - - - - - -`met_fil_ga4` class. — met_fil_ga4-class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Metric filter.

    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/met_filter.html b/docs/reference/met_filter.html deleted file mode 100644 index 3881cf07..00000000 --- a/docs/reference/met_filter.html +++ /dev/null @@ -1,268 +0,0 @@ - - - - - - - - -Make a metric filter object — met_filter • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make a metric filter object

    - - -
    met_filter(metric, operator = c("EQUAL", "LESS_THAN", "GREATER_THAN",
    -  "IS_MISSING"), comparisonValue, not = FALSE)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    metric

    metric name to filter on.

    operator

    How to match the dimension.

    comparisonValue

    What to match.

    not

    Logical NOT operator. Boolean.

    - -

    Value

    - -

    An object of class met_fil_ga4 for use in filter_clause_ga4

    - -

    See also

    - -

    Other filter functions: dim_filter, - filter_clause_ga4

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - -## create filters on metrics -mf <- met_filter("bounces", "GREATER_THAN", 0) -mf2 <- met_filter("sessions", "GREATER", 2) - -## create filters on dimensions -df <- dim_filter("source","BEGINS_WITH","1",not = TRUE) -df2 <- dim_filter("source","BEGINS_WITH","a",not = TRUE) - -## construct filter objects -fc2 <- filter_clause_ga4(list(df, df2), operator = "AND") -fc <- filter_clause_ga4(list(mf, mf2), operator = "AND") - -## make v4 request -ga_data1 <- google_analytics_4(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('sessions','bounces'), - met_filters = fc, - dim_filters = fc2, - filtersExpression = "ga:source!=(direct)") - -# }
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/meta.html b/docs/reference/meta.html deleted file mode 100644 index 8dd55b91..00000000 --- a/docs/reference/meta.html +++ /dev/null @@ -1,210 +0,0 @@ - - - - - - - - -Google Analytics API metadata — meta • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    This is a local copy of the data provided by google_analytics_meta

    - - -
    meta
    - -

    Format

    - -

    A data frame with 476 rows and 15 variables

    - -

    Source

    - -

    https://developers.google.com/analytics/devguides/reporting/core/dimsmets

    - -

    Details

    - -

    Running your own call will be more up to date, but this is here in case.

    -

    It does not include the multi-channel or cohort variables.

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/metric_ga4.html b/docs/reference/metric_ga4.html deleted file mode 100644 index 074a30a3..00000000 --- a/docs/reference/metric_ga4.html +++ /dev/null @@ -1,212 +0,0 @@ - - - - - - - - -Make a metric object — metric_ga4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make a metric object

    - - -
    metric_ga4(vector, metricFormat = NULL)
    - -

    Arguments

    - - - - - - - - - - -
    vector

    A character vector of GA metric names

    metricFormat

    Optional same length character vector of formats -for the API to return

    - -

    Value

    - -

    a list suitable for parsing in req

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/multi_select.html b/docs/reference/multi_select.html deleted file mode 100644 index a677e092..00000000 --- a/docs/reference/multi_select.html +++ /dev/null @@ -1,241 +0,0 @@ - - - - - - - - -multi_select [Shiny Module] — multi_select • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Shiny Module for use with multi_selectUI

    - - -
    multi_select(input, output, session, type = c("METRIC", "DIMENSION"),
    -  subType = c("all", "segment", "cohort"), default = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - -
    input

    shiny input

    output

    shiny output

    session

    shiny session

    type

    metric or dimension

    subType

    Limit selections to those relevant

    default

    The default selected choice. First element if NULL

    - -

    Value

    - -

    the selected variable

    - -

    Details

    - -

    Call via shiny::callModule(multi_select, "your_id")

    - -

    See also

    - -

    Other Shiny modules: authDropdownUI, - authDropdown, multi_selectUI

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/multi_selectUI.html b/docs/reference/multi_selectUI.html deleted file mode 100644 index 22cdf535..00000000 --- a/docs/reference/multi_selectUI.html +++ /dev/null @@ -1,232 +0,0 @@ - - - - - - - - -multi_select UI [Shiny Module] — multi_selectUI • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Shiny Module for use with multi_select

    - - -
    multi_selectUI(id, label = "Metric", multiple = TRUE, width = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    id

    Shiny id

    label

    label

    multiple

    multiple select

    width

    width of select

    - -

    Value

    - -

    Shiny UI

    - -

    Details

    - -

    Create a Google Analytics variable selector

    - -

    See also

    - -

    Other Shiny modules: authDropdownUI, - authDropdown, multi_select

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/myMessage.html b/docs/reference/myMessage.html deleted file mode 100644 index b426cb6c..00000000 --- a/docs/reference/myMessage.html +++ /dev/null @@ -1,211 +0,0 @@ - - - - - - - - -Custom message log level — myMessage • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Custom message log level

    - - -
    myMessage(..., level = 2)
    - -

    Arguments

    - - - - - - - - - - -
    ...

    The message(s)

    level

    The severity

    - -

    Details

    - -

    0 = everything, 1 = debug, 2=normal, 3=important

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/orFiltersForSegment.html b/docs/reference/orFiltersForSegment.html deleted file mode 100644 index 89a6f174..00000000 --- a/docs/reference/orFiltersForSegment.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -orFiltersForSegment — orFiltersForSegment • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    orFiltersForSegment

    - - -
    orFiltersForSegment(segmentFilterClauseList)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/orFiltersForSegment_ga4-class.html b/docs/reference/orFiltersForSegment_ga4-class.html deleted file mode 100644 index c43bbd5b..00000000 --- a/docs/reference/orFiltersForSegment_ga4-class.html +++ /dev/null @@ -1,190 +0,0 @@ - - - - - - - - -`orFiltersForSegment_ga4` class. — orFiltersForSegment_ga4-class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Or-filter for segment.

    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/order_type.html b/docs/reference/order_type.html deleted file mode 100644 index 777fee69..00000000 --- a/docs/reference/order_type.html +++ /dev/null @@ -1,223 +0,0 @@ - - - - - - - - -Make an OrderType object — order_type • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make an OrderType object

    - - -
    order_type(field, sort_order = c("ASCENDING", "DESCENDING"),
    -  orderType = c("VALUE", "DELTA", "SMART", "HISTOGRAM_BUCKET",
    -  "DIMENSION_AS_INTEGER"))
    - -

    Arguments

    - - - - - - - - - - - - - - -
    field

    One field to sort by

    sort_order

    ASCENDING or DESCENDING

    orderType

    Type of ordering

    - -

    Value

    - -

    A order_type_ga4 object for use in GAv4 fetch

    - -

    Details

    - -

    For multiple order sorting, create separate OrderType objects to pass

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/parse_ga_account_summary.html b/docs/reference/parse_ga_account_summary.html deleted file mode 100644 index bb5a6a41..00000000 --- a/docs/reference/parse_ga_account_summary.html +++ /dev/null @@ -1,201 +0,0 @@ - - - - - - - - -New parse GA account summary — parse_ga_account_summary • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    New parse GA account summary

    - - -
    parse_ga_account_summary(x)
    - -

    Arguments

    - - - - - - -
    x

    The account summary items

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/pivot_ga4.html b/docs/reference/pivot_ga4.html deleted file mode 100644 index 46acc7e6..00000000 --- a/docs/reference/pivot_ga4.html +++ /dev/null @@ -1,271 +0,0 @@ - - - - - - - - -Make a pivot object — pivot_ga4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make a pivot object

    - - -
    pivot_ga4(pivot_dim, metrics, dim_filter_clause = NULL, startGroup = 1,
    -  maxGroupCount = 5)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - -
    pivot_dim

    A character vector of dimensions

    metrics

    Metrics to aggregate and return.

    dim_filter_clause

    Only data included in filter included.

    startGroup

    which groups of k columns are included in response.

    maxGroupCount

    Maximum number of groups to return.

    - -

    Value

    - -

    pivot object of class pivot_ga4 for use in filter_clause_ga4

    - -

    Details

    - -

    If maxGroupCount is set to -1 returns all groups.

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - -## filter pivot results to -pivot_dim_filter1 <- dim_filter("medium", - "REGEXP", - "organic|social|email|cpc") - - -pivot_dim_clause <- filter_clause_ga4(list(pivot_dim_filter1)) - -pivme <- pivot_ga4("medium", - metrics = c("sessions"), - maxGroupCount = 4, - dim_filter_clause = pivot_dim_clause) - - -pivtest <- google_analytics(ga_id, - c("2016-01-30","2016-10-01"), - dimensions=c('source'), - metrics = c('sessions'), - pivots = list(pivme)) - -# }
    - -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/pivot_ga4_parse.html b/docs/reference/pivot_ga4_parse.html deleted file mode 100644 index 1e310ced..00000000 --- a/docs/reference/pivot_ga4_parse.html +++ /dev/null @@ -1,198 +0,0 @@ - - - - - - - - -pivot data parsing — pivot_ga4_parse • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    pivot data parsing

    - - -
    pivot_ga4_parse(x, hasDateComparison)
    - -

    See also

    - -

    Other pivot functions: makePivotData, - makePivotNames

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/reexports.html b/docs/reference/reexports.html deleted file mode 100644 index 6e5eeeaa..00000000 --- a/docs/reference/reexports.html +++ /dev/null @@ -1,193 +0,0 @@ - - - - - - - - -Objects exported from other packages — reexports • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    These objects are imported from other packages. Follow the links -below to see their documentation.

    -
    magrittr

    %>%

    -
    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/rmNullObs.html b/docs/reference/rmNullObs.html deleted file mode 100644 index e93f1040..00000000 --- a/docs/reference/rmNullObs.html +++ /dev/null @@ -1,191 +0,0 @@ - - - - - - - - -Recursively step down into list, removing all such objects — rmNullObs • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Recursively step down into list, removing all such objects

    - - -
    rmNullObs(x)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentBuilder.html b/docs/reference/segmentBuilder.html deleted file mode 100644 index 51bf7ba0..00000000 --- a/docs/reference/segmentBuilder.html +++ /dev/null @@ -1,248 +0,0 @@ - - - - - - - - -Create a GAv4 Segment Builder — segmentBuilder • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Shiny Module for use with segmentBuilderUI

    - - -
    segmentBuilder(input, output, session)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    input

    shiny input

    output

    shiny output

    session

    shiny session

    - -

    Value

    - -

    A segment definition

    - -

    Details

    - -

    Call via shiny::callModule(segmentBuilder, "your_id")

    - - -

    Examples

    -
    -
    # NOT RUN { -library(shiny) -library(googleAnalyticsR) - -ui <- shinyUI(fluidPage( - segmentBuilderUI("test1") - )) - - -server <- shinyServer(function(input, output, session) { - -segment <- callModule(segmentBuilder, "test1") - - .. use segment() in further gav4 calls. - -}) - - -# Run the application -shinyApp(ui = ui, server = server) -# } -
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentBuilderUI.html b/docs/reference/segmentBuilderUI.html deleted file mode 100644 index d1152cc2..00000000 --- a/docs/reference/segmentBuilderUI.html +++ /dev/null @@ -1,233 +0,0 @@ - - - - - - - - -Create a GAv4 Segment Builder — segmentBuilderUI • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Shiny Module for use with segmentBuilder

    - - -
    segmentBuilderUI(id)
    - -

    Arguments

    - - - - - - -
    id

    Shiny id

    - -

    Value

    - -

    Shiny UI for use in app

    - - -

    Examples

    -
    -
    # NOT RUN { -library(shiny) -library(googleAnalyticsR) - -ui <- shinyUI(fluidPage( - segmentBuilderUI("test1") - )) - - -server <- shinyServer(function(input, output, session) { - -segment <- callModule(segmentBuilder, "test1") - - .. use segment() in further gav4 calls. - -}) - - -# Run the application -shinyApp(ui = ui, server = server) -# } -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentChain.html b/docs/reference/segmentChain.html deleted file mode 100644 index e849895d..00000000 --- a/docs/reference/segmentChain.html +++ /dev/null @@ -1,225 +0,0 @@ - - - - - - - - -segmentChain — segmentChain • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Shiny Module for use with segmentChainUI

    - - -
    segmentChain(input, output, session, element_inputs)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    input

    shiny input

    output

    shiny output

    session

    shiny session

    element_inputs

    from segmentElementUI

    - -

    Value

    - -

    Something

    - -

    Details

    - -

    Call via shiny::callModule(segmentChain, "your_id")

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentChainUI.html b/docs/reference/segmentChainUI.html deleted file mode 100644 index dc068287..00000000 --- a/docs/reference/segmentChainUI.html +++ /dev/null @@ -1,207 +0,0 @@ - - - - - - - - -segmentChain UI — segmentChainUI • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Shiny Module for use with segmentChain

    - - -
    segmentChainUI(id)
    - -

    Arguments

    - - - - - - -
    id

    Shiny id

    - -

    Value

    - -

    Shiny UI

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentDef_ga4-class.html b/docs/reference/segmentDef_ga4-class.html deleted file mode 100644 index b42c884c..00000000 --- a/docs/reference/segmentDef_ga4-class.html +++ /dev/null @@ -1,190 +0,0 @@ - - - - - - - - -`segmentDef_ga4` class. — segmentDef_ga4-class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Segment definition.

    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentDefinition.html b/docs/reference/segmentDefinition.html deleted file mode 100644 index 899f7d1b..00000000 --- a/docs/reference/segmentDefinition.html +++ /dev/null @@ -1,203 +0,0 @@ - - - - - - - - -Segment Definition — segmentDefinition • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Segment Definition

    - - -
    segmentDefinition(segmentFilterList)
    - -

    Arguments

    - - - - - - -
    segmentFilterList

    A list of segmentFilters

    -

    SegmentDefinition defines the segment to be a set of - SegmentFilters which are combined together with a logical AND operation.

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentDimensionFilter.html b/docs/reference/segmentDimensionFilter.html deleted file mode 100644 index 39103a09..00000000 --- a/docs/reference/segmentDimensionFilter.html +++ /dev/null @@ -1,195 +0,0 @@ - - - - - - - - -segmentDimensionFilter — segmentDimensionFilter • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    segmentDimensionFilter

    - - -
    segmentDimensionFilter(name, expressions, operator = c("REGEXP",
    -  "BEGINS_WITH", "ENDS_WITH", "PARTIAL", "EXACT", "IN_LIST",
    -  "NUMERIC_LESS_THAN", "NUMERIC_GREATER_THAN", "NUMERIC_BETWEEN"),
    -  caseSensitive = FALSE, minComparisonValue = NULL,
    -  maxComparisonValue = NULL)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentElementUI.html b/docs/reference/segmentElementUI.html deleted file mode 100644 index dbb2fb4b..00000000 --- a/docs/reference/segmentElementUI.html +++ /dev/null @@ -1,201 +0,0 @@ - - - - - - - - -A GAv4 segment element row — segmentElementUI • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    A GAv4 segment element row

    - - -
    segmentElementUI(id)
    - -

    Arguments

    - - - - - - -
    id

    shiny id

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentFilter.html b/docs/reference/segmentFilter.html deleted file mode 100644 index 66cbc30d..00000000 --- a/docs/reference/segmentFilter.html +++ /dev/null @@ -1,216 +0,0 @@ - - - - - - - - -Segment Filter — segmentFilter • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Segment Filter

    - - -
    segmentFilter(not = FALSE, simpleSegment = NULL, sequenceSegment = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - -
    not

    Negation of this filter

    simpleSegment

    An simple segment

    sequenceSegment

    An sequence segment

    - -

    Details

    - -

    If true, match the complement of simple or sequence segment above. -For example, to match all visits not from "New York", set to TRUE.

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentFilterClause.html b/docs/reference/segmentFilterClause.html deleted file mode 100644 index b6e208cd..00000000 --- a/docs/reference/segmentFilterClause.html +++ /dev/null @@ -1,192 +0,0 @@ - - - - - - - - -segmentFilterClause — segmentFilterClause • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Make this internal

    - - -
    segmentFilterClause(not = FALSE, dimensionFilter = NULL,
    -  metricFilter = NULL)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentFilterClause_ga4-class.html b/docs/reference/segmentFilterClause_ga4-class.html deleted file mode 100644 index 1e56278e..00000000 --- a/docs/reference/segmentFilterClause_ga4-class.html +++ /dev/null @@ -1,190 +0,0 @@ - - - - - - - - -`segmentFilterClause_ga4` class. — segmentFilterClause_ga4-class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Segment filter clause.

    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentFilter_ga4-class.html b/docs/reference/segmentFilter_ga4-class.html deleted file mode 100644 index 2dde2d71..00000000 --- a/docs/reference/segmentFilter_ga4-class.html +++ /dev/null @@ -1,190 +0,0 @@ - - - - - - - - -`segmentFilter_ga4` class. — segmentFilter_ga4-class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Segment filter.

    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentMetricFilter.html b/docs/reference/segmentMetricFilter.html deleted file mode 100644 index 0bbefe48..00000000 --- a/docs/reference/segmentMetricFilter.html +++ /dev/null @@ -1,193 +0,0 @@ - - - - - - - - -segmentMetricFilter — segmentMetricFilter • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    segmentMetricFilter

    - - -
    segmentMetricFilter(name, scope = c("PRODUCT", "HIT", "SESSION", "USER"),
    -  operator = c("LESS_THAN", "GREATER_THAN", "EQUAL", "BETWEEN"),
    -  comparisonValue = NULL, maxComparisonValue = NULL)
    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentObj_ga4.html b/docs/reference/segmentObj_ga4.html deleted file mode 100644 index 997041fb..00000000 --- a/docs/reference/segmentObj_ga4.html +++ /dev/null @@ -1,211 +0,0 @@ - - - - - - - - -Segment objects — segmentObj_ga4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Segment objects

    - - -
    segmentObj_ga4(dynamicSegment = NULL, segmentId = NULL)
    - -

    Arguments

    - - - - - - - - - - -
    dynamicSegment

    A v4 segment object

    segmentId

    A v3 segment string

    - -

    Value

    - -

    a list of class segment_ga4

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentSequenceStep.html b/docs/reference/segmentSequenceStep.html deleted file mode 100644 index 00b3d94b..00000000 --- a/docs/reference/segmentSequenceStep.html +++ /dev/null @@ -1,212 +0,0 @@ - - - - - - - - -segmentSequenceStep — segmentSequenceStep • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    segmentSequenceStep

    - - -
    segmentSequenceStep(orFiltersForSegmentList, matchType = c("PRECEDES",
    -  "IMMEDIATELY_PRECEDES"))
    - -

    Arguments

    - - - - - - - - - - -
    orFiltersForSegmentList

    A list of orFiltersForSegment

    matchType

    Should it precede or immediately precede the next step

    - -

    Value

    - -

    segmentSequenceStep object

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segmentSequenceStep_ga4-class.html b/docs/reference/segmentSequenceStep_ga4-class.html deleted file mode 100644 index 239e00d7..00000000 --- a/docs/reference/segmentSequenceStep_ga4-class.html +++ /dev/null @@ -1,190 +0,0 @@ - - - - - - - - -`segmentSequenceStep_ga4` class. — segmentSequenceStep_ga4-class • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Segment sequence step.

    - - - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segment_define.html b/docs/reference/segment_define.html deleted file mode 100644 index dc94fad1..00000000 --- a/docs/reference/segment_define.html +++ /dev/null @@ -1,228 +0,0 @@ - - - - - - - - -Make a segment definition — segment_define • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    Defines the segment to be a set of SegmentFilters - which are combined together with a logical AND operation. - - segment_define is in the hierarchy of segment creation, for which you will also need:

    - - -
    segment_define(segment_filters, not_vector = NULL)
    - -

    Arguments

    - - - - - - - - - - -
    segment_filters

    A list of segment_vector_simple and segment_vector_sequence

    not_vector

    Boolean applied to each segmentFilter step. -If NULL, assumed FALSE

    - -

    Value

    - -

    segmentDefinition object for segment_ga4

    - -

    See also

    - -

    Other v4 segment functions: segment_element, - segment_ga4, - segment_vector_sequence, - segment_vector_simple

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segment_element.html b/docs/reference/segment_element.html deleted file mode 100644 index 1161e504..00000000 --- a/docs/reference/segment_element.html +++ /dev/null @@ -1,266 +0,0 @@ - - - - - - - - -Make a segment element — segment_element • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    segment_element is the lowest hierarchy of segment creation, for which you will also need:

    - - -
    segment_element(name, operator = c("REGEXP", "BEGINS_WITH", "ENDS_WITH",
    -  "PARTIAL", "EXACT", "IN_LIST", "NUMERIC_LESS_THAN", "NUMERIC_GREATER_THAN",
    -  "NUMERIC_BETWEEN", "LESS_THAN", "GREATER_THAN", "EQUAL", "BETWEEN"),
    -  type = c("METRIC", "DIMENSION"), not = FALSE, expressions = NULL,
    -  caseSensitive = NULL, minComparisonValue = NULL,
    -  maxComparisonValue = NULL, scope = c("SESSION", "USER", "HIT", "PRODUCT"),
    -  comparisonValue = NULL, matchType = c("PRECEDES", "IMMEDIATELY_PRECEDES"))
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    name

    Name of the GA metric or dimension to segment on

    operator

    How name shall operate on expression or comparisonValue

    type

    A metric or dimension based segment element

    not

    Should the element be the negation of what is defined

    expressions

    [dim] What the name shall compare to

    caseSensitive

    [dim] Whether to be case sensitive

    minComparisonValue

    [dim] Minimum comparison values for BETWEEN

    maxComparisonValue

    Max comparison value for BETWEEN operator

    scope

    [met] Scope of the metric value

    comparisonValue

    [met] What the name shall compare to

    matchType

    If used in sequence segment, what behaviour

    - -

    Value

    - -

    An SegmentFilterClause object

    - -

    See also

    - -

    Other v4 segment functions: segment_define, - segment_ga4, - segment_vector_sequence, - segment_vector_simple

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segment_ga4.html b/docs/reference/segment_ga4.html deleted file mode 100644 index bd54eadc..00000000 --- a/docs/reference/segment_ga4.html +++ /dev/null @@ -1,337 +0,0 @@ - - - - - - - - -Make a segment object for use — segment_ga4 • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    A Segment is a subset of the Analytics data. -For example, of the entire set of users, one Segment -might be users from a particular country or city.

    - - -
    segment_ga4(name, segment_id = NULL, user_segment = NULL,
    -  session_segment = NULL)
    - -

    Arguments

    - - - - - - - - - - - - - - - - - - -
    name

    The name of the segment for the reports.

    segment_id

    The segment ID of a built in or custom segment e.g. gaid::-3

    user_segment

    A list of segment_define's that apply to users

    session_segment

    A list of segment_define's that apply to sessions

    - -

    Value

    - -

    a segmentFilter object. You can pass a list of these to the request.

    - -

    Details

    - -

    segment_ga4 is the top hierarchy of segment creation, for which you will also need:

    - -

    See also

    - -

    Other v4 segment functions: segment_define, - segment_element, - segment_vector_sequence, - segment_vector_simple

    - - -

    Examples

    -
    -
    # NOT RUN { -library(googleAnalyticsR) - -## authenticate, -## or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query - -ga_id <- account_list[23,'viewId'] - - -## make a segment element -se <- segment_element("sessions", - operator = "GREATER_THAN", - type = ""metric"", - comparisonValue = 1, - scope = "USER") - - -se2 <- segment_element("medium", - operator = "EXACT", - type = "dimension", - expressions = "organic") - - -## choose between segment_vector_simple or segment_vector_sequence -## Elements can be combined into clauses, which can then be -## combined into OR filter clauses -sv_simple <- segment_vector_simple(list(list(se))) - -sv_simple2 <- segment_vector_simple(list(list(se2))) - -## Each segment vector can then be combined into a logical AND - -seg_defined <- segment_define(list(sv_simple, sv_simple2)) - -## if only one AND definition, you can leave out wrapper list() - -seg_defined_one <- segment_define(sv_simple) - -## Each segement defintion can apply to users, sessions or both. -## You can pass a list of several segments - -segment4 <- segment_ga4("simple", user_segment = seg_defined) -## Add the segments to the segments param - -segment_example <- google_analytics(ga_id, - c("2015-07-30","2015-10-01"), - dimensions=c('source','medium','segment'), - segments = segment4, - metrics = c('sessions','bounces') - ) - - -## Sequence segment - -se2 <- segment_element("medium", - operator = "EXACT", - type = "dimension", - expressions = "organic") - -se3 <- segment_element("medium", - operator = "EXACT", - type = "dimension", - not = TRUE, - expressions = "organic") - -## step sequence -## users who arrived via organic then via referral -sv_sequence <- segment_vector_sequence(list(list(se2), - list(se3))) - -seq_defined2 <- segment_define(list(sv_sequence)) - -segment4_seq <- segment_ga4("sequence", user_segment = seq_defined2) - -## Add the segments to the segments param - -segment_seq_example <- google_analytics(ga_id, - c("2016-04-01","2016-05-01"), - dimensions=c('source','segment'), - segments = segment4_seq, - metrics = c('sessions','bounces') - ) - -# } -
    -
    -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segment_vector_sequence.html b/docs/reference/segment_vector_sequence.html deleted file mode 100644 index 58d1fa87..00000000 --- a/docs/reference/segment_vector_sequence.html +++ /dev/null @@ -1,217 +0,0 @@ - - - - - - - - -Make sequenceSegment — segment_vector_sequence • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    segment_vector_sequence is in the hierarchy of segment creation, for which you will also need:

    - - -
    segment_vector_sequence(segment_elements, firstStepMatch = FALSE)
    - -

    Arguments

    - - - - - - - - - - -
    segment_elements

    a list of OR lists of segment elements

    firstStepMatch

    FALSE default

    - -

    See also

    - -

    Other v4 segment functions: segment_define, - segment_element, segment_ga4, - segment_vector_simple

    - - -
    - -
    - -
    - - -
    -

    Site built with pkgdown.

    -
    - -
    -
    - - - diff --git a/docs/reference/segment_vector_simple.html b/docs/reference/segment_vector_simple.html deleted file mode 100644 index 5b9021f5..00000000 --- a/docs/reference/segment_vector_simple.html +++ /dev/null @@ -1,219 +0,0 @@ - - - - - - - - -Make a simple segment vector — segment_vector_simple • googleAnalyticsR - - - - - - - - - - - - - - - - - - - - - - - - - - - -
    -
    - - - -
    - -
    -
    - - - -

    segment_vector_simple is in the hierarchy of segment creation, for which you will also need:

    - - -
    segment_vector_simple(segment_elements)
    - -

    Arguments

    - - - - - - -
    segment_elements

    A list of OR lists of segment_element

    - -

    Value

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    A segment vector you can put in a list for use in segment_ga4

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    See also

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    Other v4 segment functions: segment_define, - segment_element, segment_ga4, - segment_vector_sequence

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    Site built with pkgdown.

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    sequenceSegment

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    Arguments

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    segmentSequenceStepList

    A list of segmentSequenceStep

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    Should firstStep match the first hit?

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    Value

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    A sequenceSegment object

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    Sequence segment.

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    Simple Segment

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    simpleSegment(orFiltersForSegmentList)
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    Simple segment.

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    Timestamp to R date

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    Site built with pkgdown.

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    If you need a list but only get one element, make it a list.

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    Arguments

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    A list or an element that will be wrapped in list()

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    Value

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    A list

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    Details

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    Makes it easier for users to use some functions by not worrying about list wrapping.

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familar with Google Analytics but not with SQL necessary to extract equivalent data from a BigQuery export of Google Analytics 360 data. - -`google_analytics_bq` parses your metrics and dimensions into BigQuery queries. - -## To do - -This is under active development, and features will expand in the future. Eventually the BigQuery reports can do a lot more than the normal Google Analytics API as it allows for statistics, grouping, timestamps and unique visitor and visit Ids. - -## Setup - -To use, you need to also install the [`bigQueryR`](http://code.markedmondson.me/bigQueryR/) library. - -Stable version is on CRAN: - -```r -install.packages("bigQueryR") -``` - -Development version on devtools: - -```r -devtools::install_github("MarkEdmondson1234/bigQueryR") -``` - -Once installed, authenticate to BigQuery: - -```r -library(bigQueryR) - -## go through Google oAuth2 flow -## needs email that has access to the BigQuery dataset -bqr_auth() - -## get lists of your project and datasets -bqr_list_projects() -bqr_list_datasets("project-id") -``` - -If you want to authenticate with Google Analytics and BigQuery in the same session (or others) then its best to authenticate with `googleAuthR::gar_auth()` with the appropriate scopes set. The below lets you authenticate with Google Analytics, Google Cloud Storage and BigQuery: - -```r -options(googleAuthR.scopes.selected = c("https://www.googleapis.com/auth/analytics", - "https://www.googleapis.com/auth/cloud-platform", - "https://www.googleapis.com/auth/bigquery")) -googleAuthR::gar_auth() -``` - -You may also want to use a JSON file to authenticate with BigQuery. Make sure to add the service email to the users of the Google project, and then download the JSON file and authenticate via: - -```r -googleAuthR::gar_auth_service("gwt-download-XXXX.json") -``` - -See [`googleAuthR` help](http://code.markedmondson.me/googleAuthR/) for more details. - -## Exporting data - -For BigQuery Google Analytics 360 exports, the dataset is the same as the GA View ID you are exporting. - -You can then export BigQuery data via: - -```r -bq <- google_analytics_bq("project-id", "dataset-id-ga-viewid", - start = "2016-01-01", end = "2016-02-01", - metrics = "users", - dimensions = c("source","medium")) -head(bq) - source medium users -1 mavas|blahbs.ru display 47837 -2 examp.ae referral 6090 -3 lm.facebook.com referral 335 -4 ghtie_yahoo display 133900 -5 fjsfs_inmobi display 19887 -6 tripadvisor.co.dk referral 307 -``` - -At the moment the metrics/dimensions are limited as they need to added manually to a lookup table. -Segments/filters are not supported. The data is unsampled though. - -```r -bq2 <- google_analytics_bq("project-id", "dataset-id-ga-viewid", - start = "2016-01-01", end = "2016-02-01", - metrics = "users", - dimensions = c("source","medium","landingPagePath")) - -> Error in google_analytics_bq("project-id", "dataset-id-ga-viewid", start = "2016-01-01", : - dimension not yet supported. Must be one of referralPath, campaign, source, medium, keyword, adContent, adwordsCampaignID, adwordsAdGroupID, transactionId, date, visitorId, visitId, visitStartTime, visitNumber -``` - -## Raw BigQuery SQL - -You can query the BigQuery table directly using the `query` parameter. - -This is just as you would in the BigQuery interface, and allows queries you can also do there. - -```r -q <- "SELECT - date, - SUM (totals.visits) visits, - SUM (totals.pageviews) pageviews, - SUM (totals.transactions) transactions, - SUM (totals.transactionRevenue)/1000000 revenue -FROM [87010628.ga_sessions_20160327],[87010628.ga_sessions_20160328],[87010628.ga_sessions_20160329] -GROUP BY date -ORDER BY date ASC " - -bq3 <- google_analytics_bq("project-id", "dataset-id-ga-viewid", - query = q) - -``` - -If you pass in the parameter `return_query_only` you can output the query for use within the interface: - -```r -just_query <- google_analytics_bq("project-id", "dataset-id-ga-viewid", - start = "2016-01-01", end = "2016-02-01", - metrics = "users", - dimensions = c("source","medium"), - return_query_only = TRUE) -just_query -# [1] "SELECT trafficSource.source as source, trafficSource.medium as medium, COUNT(fullVisitorId) as users -# FROM (TABLE_DATE_RANGE([dataset-id-ga-viewid.ga_sessions_], TIMESTAMP('2016-01-01'), -# TIMESTAMP('2016-02-01'))) GROUP BY source, medium LIMIT 100" -``` - -You could then paste this query into the BigQuery interface, or modify it and send it back in via `google_analytics_bq`. - -## Implemented metrics and dimensions - -The metrics and dimensions implemented so far are in the two lookups below. - -They include the BigQuery exclusive `hitTimestamp`, `fullVisitorId`, `visitId` etc. - -Read the full [Google Analytics 360 BigQuery data schema](https://support.google.com/analytics/answer/3437719?hl=en) for an idea on what can be queried. - -```r -lookup_bq_query_m <- c(visits = "SUM(totals.visits) as sessions", - sessions = "SUM(totals.visits) as sessions", - pageviews = "SUM(totals.pageviews) as pageviews", - timeOnSite = "SUM(totals.timeOnSite) as timeOnSite", - bounces = "SUM(totals.bounces) as bounces", - transactions = "SUM(totals.transactions) as transactions", - transactionRevenue = "SUM(totals.transactionRevenue)/1000000 as transactionRevenue", - newVisits = "SUM(totals.newVisits) as newVisits", - screenviews = "SUM(totals.screenviews) as screenviews", - uniqueScreenviews = "SUM(totals.uniqueScreenviews) as uniqueScreenviews", - timeOnScreen = "SUM(totals.timeOnScreen) as timeOnScreen", - users = "COUNT(fullVisitorId) as users", - exits = "COUNT(hits.isExit) as exits", - entrances = "COUNT(hits.isEntrance) as entrances", - eventValue = "SUM(hits.eventinfo.eventValue) as eventValue", - metricXX = {a function to output hit level custom metrics}) - -lookup_bq_query_d <- c(referralPath = "trafficSource.referralPath as referralPath", - hitTimestamp = "(visitStartTime + (hits.time/1000)) as hitTimestamp", - campaign = "trafficSource.campaign as campaign", - source = "trafficSource.source as source", - medium = "trafficSource.medium as medium", - keyword = "trafficSource.keyword as keyword", - adContent = "trafficSource.adContent as adContent", - adwordsCampaignID = "trafficSource.adwordsClickInfo.campaignId as adwordsCampaignId", - adwordsAdGroupID = "trafficSource.adwordsClickInfo.adGroupId as adwordsAdGroupId", - # adwords...etc... - transactionId = "hits.transaction.transactionId as transactionId", - date = "date", - fullVisitorId = "fullVisitorId", - userId = "userId", - visitorId = "visitorId", - visitId = "visitId", - visitStartTime = "visitStartTime", - visitNumber = "visitNumber", - browser = "device.browser as browser", - browserVersion = "device.browserVersion as browserVersion", - operatingSystem = "device.operatingSystem as operatingSystem", - operatingSystemVersion = "device.operatingSystemVersion as operatingSystemVersion", - mobileDeviceBranding = "device.mobileDeviceBranding as mobileDeviceBranding", - flashVersion = "device.flashVersion as flashVersion", - language = "device.language as language", - screenColors = "device.screenColors as screenColors", - screenResolution = "device.screenResolution as screenResolution", - deviceCategory = "device.deviceCategory as deviceCategory", - continent = "geoNetwork.continent as continent", - subContinent = "geoNetwork.subContinent as subContinent", - country = "geoNetwork.country as country", - region = "geoNetwork.region as region", - metro = "geoNetwork.region as metro", - pagePath = "hits.page.pagePath as pagePath", - eventCategory = "hits.eventInfo.eventCategory as eventCategory", - eventAction = "hits.eventInfo.eventAction as eventAction", - eventLabel = "hits.eventInfo.eventLabel as eventLabel", - dimensionXX = {a function to output hit level custom dimensions}) -``` - -This will increase as I get time to work on it, but feel free to submit a pull request with more. - - diff --git a/vignettes/website/custom/footer.html b/vignettes/website/custom/footer.html deleted file mode 100644 index 7f419947..00000000 --- a/vignettes/website/custom/footer.html +++ /dev/null @@ -1,37 +0,0 @@ -

    - -

    Copyright (c) 2016 Sunholo Ltd. Released under MIT license.

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z>UKrZPF#KUBPc54t&=IJ3YjxkV}WDV0{o_-Q}}<_T)mh8fqPT{0000 ---- -title: "Google Analytics Report" -author: "Mark Edmondson" -date: "8 July 2016" -output: html_document ---- - -```{r} -knitr::opts_chunk$set(echo = TRUE) -library(googleAnalyticsR) -## Make sure to run this at least once outside of the document to -## ensure the .httr-oauth file is present. -ga_auth() - -ga_data <- google_analytics_4(viewId = 12345, - dateRange = c(Sys.Date()-30, Sys.Date()), - metrics = "sessions", - dimensions = "medium") -``` - -....use ga_data to generate plots/tables later in the document.... - - - -Alternatively, you can use `googleAuthR::gar_auth_service()` and use the authentication JSON downloaded from the Google console. - -## Multi-user authentication - -A new feature of `googleAuthR` is authentication from within RMarkdown using javascript authentication instead of Shiny. A demo of using this with G+ is here: -https://mark.shinyapps.io/googleAuthRMarkdown/ - -Similar code can be adapted to use with Google Analytics data. You will still need to host the RMarkdown document on a Shiny server though, such as http://shinyapps.io - -## Uploading RMarkdown files to Shinyapps.io/Shiny Server - -To see the reports online, you can upload RMarkdown documents to Shiny servers or shinyapps.io. - -However, you need to ensure that the authentication file is present when uploaded. This can be specified in the meta data via `resource_files` - -

    
    ----
    -title: "Google Analytics Report"
    -author: "Mark Edmondson"
    -date: "8 July 2016"
    -output: html_document
    -resource_files:
    -  - .httr-oauth
    ----
    -
    - -Then when you upload to Shiny Server or shinyapps.io, you should see the file in your upload choices: - -![](auth_token_markdown.png) diff --git a/vignettes/website/segmentBuilder.png b/vignettes/website/segmentBuilder.png deleted file mode 100644 index 8d676a63125b4ba6fedc68cf3b6c8ea221f3c92d..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 76312 zcmdSAgLkD((>EGt$F`kJY}>YN+Y@_YCllKfb7I?>*v7_(UDwrX_ge01@X7fybe3uH~0^^Z@4$tp3d3XAF^)< zfGE|!^XOsIfD3T3ClZ{TiN(f*7ww7y3Hc!l5D3Vm_#a~9o+2nr=zdf^xKG!X+F?!o zdVYBMP@O#m1BL;j#N792@=uPrrecYy_jr{7LS#!{9G~2qxFk<9eX6YTY-Tx!)Y0pZZw6GyEY;1hzIo+pFv7q zpR*5AaUt@fgiF$|0*k(C#DqND^Io?za;pdFa`t=0`_%s9rj$I&oCv&cB3^cFt%kWF#eCN7LJiO%8oksQC2#1TM_@%yNP zqmP|dZdZ#hi10WR$W#rd+@1&H0S7xLk5x=PM|^-YjRf3H2Ei`fi$3CC14V(g)5Yq<6GY~bOG{0;gcxTfKbIr9u0+Ypt^ z=GGHe&(0k%E+Wu(|Kzkd=K5;?7paXed=yliiRTg731D17V@!Ku0ye{`W)Pa?}XxVPU`=+}+66^=8h@+IR-QP!b@T zxd4>_@@de)Zd?se$Sn|_0D1t(HX#HJBuyObEHHsd5Kj$0Y5;N#-YEpy77z#QNjIYd 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b/vignettes/website/setup.Rmd deleted file mode 100644 index 2a3b7388..00000000 --- a/vignettes/website/setup.Rmd +++ /dev/null @@ -1,118 +0,0 @@ ---- -title: "Setting up Google Analytics API downloads to R" ---- - -## Install - -The latest stable version of googleAnalyticsR is available on CRAN. -![CRAN](http://www.r-pkg.org/badges/version/googleAnalyticsR) - -You also need the version > `0.3.0` of `googleAuthR` - -```r -install.packages("googleAuthR") -install.packages("googleAnalyticsR") -``` - -### Development version off github - -You may prefer to use the latest development version is on github which you can install via the below. - -Github check status: [![Travis-CI Build Status](https://travis-ci.org/MarkEdmondson1234/googleAnalyticsR.svg?branch=master)](https://travis-ci.org/MarkEdmondson1234/googleAnalyticsR) - -```r -devtools::install_github("MarkEdmondson1234/googleAnalyticsR") -``` - -Check out the [NEWS](https://github.com/MarkEdmondson1234/googleAnalyticsR/blob/master/NEWS.md) to see whats currently available in each version. - -## Authentication - -```r -## setup -library(googleAnalyticsR) - -## This should send you to your browser to authenticate your email. -## Authenticate with an email that has access to the Google Analytics View you want to use. -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query -ga_id <- account_list[23,'viewId'] - -``` - -Should you need to authenticate under a new user, use `ga_auth(new_user=TRUE)` - -## Auto-authentication - -From version `0.4` (currently on Github) you can choose to auto-authenticate by moving your `.httr-oauth` or by creating a Google OAuth service account JSON file. - -Once you have set the environment variable `GA_AUTH_FILE` to a valid file location, the function will look there for authentication details upon loading the library meaning you will not need to call `ga_auth()` yourself as you would normally. - -You can set environment variables using a `.Renviron` file or via the function `Sys.setenv()` - -An example `.Renviron` file is below - this is placed in your root directory (`~/` or `C:\\`) - -`GA_AUTH_FILE = "/Users/bob/auth/googleAnalyticsR.httr-oauth"` - -`GA_AUTH_FILE` can be either the file path to a `.httr-oauth` token generated by `gar_auth()` or your own Google Project's service account JSON ending with file extension `.json` - -If you use the service account JSON, you will also need to add the service account email via your Google Analytics admin as a user to see data e.g. `xxxx@yyyyyy.iam.gserviceaccount.com` - -## Meta data - -To see what dimensions and metrics are available via the API, you can use this command: - -```r -## get a list of what metrics and dimensions you can use -ga_auth() -meta <- google_analytics_meta() -``` - -![](meta_data_screenshot.png) - -If offline, from `v0.2.0` this data is also available offline by typing `meta`, although it won't be quite as up to date. - -The meta data does not include multi-channel as they are not available to download, for those [see the online version](https://developers.google.com/analytics/devguides/reporting/mcf/dimsmets/). - -When using the library, you can call metrics and dimensions with or without the `ga:` prefix (`mcf:` for multi-channel metrics/dimensions.) - -### Multiple API authentication - -If you are using more than one API for authentication (such as Search Console), then authenticate using `googleAuthR::gar_auth()` instead, to ensure you are authenticate with the correct scopes. - -## Using your own Google Developer Project API Key - -With the amount of API calls possible with this library via batching and walking, its more likely the default shared Google API project will hit the 50,000 calls per day limit. - -To mitigate that, use your own Google Developer Console Project key, so it is not shared across all users of this library. - -### Example adding your own Google Developer Console keys - -Set the options before any call to `ga_auth()` or other data fetching calls. - -```r -options(googleAuthR.client_id = "uxxxxxxx2fd4kesu6.apps.googleusercontent.com") -options(googleAuthR.client_secret = "3JhLa_GxxxxxCQYLe31c64") -options(googleAuthR.scopes.selected = "https://www.googleapis.com/auth/analytics") -``` - -In the next example, the scopes are also set so a user can authenticate with `searchConsoleR` at the same time, which is possible as they both use [googleAuthR](http://code.markedmondson.me/googleAuthR/) as a backend. - -```r -options(googleAuthR.client_id = "tuxxxxxxx2fd4kesu6.apps.googleusercontent.com") -options(googleAuthR.client_secret = "3JhLa_GxxxxxCQYLe31c64") -options(googleAuthR.scopes.selected = c("https://www.googleapis.com/auth/analytics", - "https://www.googleapis.com/auth/webmasters")) -``` - -If you want to use with Shiny, then set the webapp clientId/secrets. - -```r -options(googleAnalyticsR.webapp.client_id = "xxxxx9pcab1u005cv.apps.googleusercontent.com") -options(googleAnalyticsR.webapp.client_secret = "zcofxxxxxxElemXN5sf") -``` - diff --git a/vignettes/website/shiny.Rmd b/vignettes/website/shiny.Rmd deleted file mode 100644 index 9efe7c81..00000000 --- a/vignettes/website/shiny.Rmd +++ /dev/null @@ -1,658 +0,0 @@ ---- -title: "Shiny Apps that call Google Analytics API data" ---- - -To use in Shiny with a multi-user login, use googleAuth's `with_shiny`. See the [`googleAuthR` readme](http://code.markedmondson.me/googleAuthR/) for details on general Google authentication with Shiny. - -```r -## in server.R -library(googleAuthR) -library(googleAnalyticsR) -library(shiny) - -shinyServer(function(input, output, session){ - - ## Get auth code from return URL - access_token <- callModule(googleAuth, "auth1") - - gadata <- reactive({ - - with_shiny(google_analytics, - id = "222222", ## replace with your View ID - start="2015-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium"), - shiny_access_token = access_token()) - }) - - output$something <- renderPlot({ - - ## only trigger once authenticated - req(access_token()) - - gadata <- gadata() - - plot(gadata) - - }) - -}) - -## ui.R -library(googleAuthR) -library(shiny) - -shinyUI(fluidPage( - - googleAuthUI("auth1"), - plotOutput("something") - -)) - -``` - -## Shiny Modules - -To aid with creating Shiny apps using this package, some [Shiny modules](http://shiny.rstudio.com/articles/modules.html) are available. - -### Authentication modules - -`authDropdown` and `authDropdownUI` create a row of selects to help with choosing a GA View. - -![](authDropdown.png) - -This is useful in combination with `googleAuthR`'s `googleAuth` module that helps with user login: - -```r -## ui.R -googleAuthUI("login"), -authDropdownUI("auth_menu") -``` - -```r -## server.R - -(...) - -token <- callModule(googleAuth, "login") - -ga_accounts <- reactive({ - validate( - need(token(), "Authenticate") - ) - - with_shiny(google_analytics_account_list, shiny_access_token = token()) - - }) - -selected_id <- callModule(authDropdown, "auth_menu", ga.table = ga_accounts) - -(...) - -``` - -### Parameter selects - -`multiSelect` and `multiSelectUI` create select dropdowns with the GA API parameters filled in, taken from the meta API. - -![](metricDropdown.png) -![](dimDropdown.png) - -### Segment helper - -`segmentBuilder` and `segmentBuilderUI` creates a segment builder interface. This is also available as an RStudio gadget to help create segments more easily. - -![](segmentBuilder.png) - - -## V4 API Shiny app - -An example of a Shiny app is the [V4 API explorer](https://mark.shinyapps.io/googleAnalyticsRv4Demo/), this code is available in the package and at [Github here](https://github.com/MarkEdmondson1234/googleAnalyticsR/tree/master/inst/shiny/ga4-example/ga4_demo) - -The code for the explorer is included below: - -### ui.R - -```r -library(shiny) -library(googleAuthR) -library(googleAnalyticsR) -library(listviewer) -library(testthat) - - -navbarPage("GA v4 API", - tabPanel("Setup", tabName = "setup", icon = icon("cogs"), - h1("A tour of GA reporting API v4"), - helpText("A demonstration of some of the new features available over the traditional v3 API."), - helpText("Start by logging in to your Google Analytics account."), - googleAuthUI("login"), - authDropdownUI("auth_menu") - ), - tabPanel("Segments", tabName = "segments", icon = icon("object-group"), - fluidRow( - column(width = 8, offset = 2, - h2("Segment setup"), - segmentBuilderUI("demo_segments") - ) - ), - fluidRow( - column(width = 8, offset = 2, - h2("GA Data to Segment"), - multi_selectUI("metric_seg", "Metric", width = "100%"), - multi_selectUI("dim_seg", "Dimensions", width = "100%"), - dateRangeInput("date_seg", "Date Range", start = Sys.Date() - 30, width = "100%"), - helpText("Segments are more in line to what can be configured in the GA interface."), - helpText("They are a lot more powerful, but complex to configure."), - actionButton("get_seg", "Fetch Segment Data", icon = icon("download"), class = "btn-success"), - hr(), - h2("Results"), - dataTableOutput("segment_table"), - hr(), - h2("JSON API object"), - helpText("The JSON object for segments is shown below for reference."), - jsoneditOutput("segment_object") - ))), - tabPanel("Calculated Metrics", tabName = "calc_metrics", icon = icon("calculator"), - h2("Calculated Metrics"), - fluidRow( - column(width = 6, - textInput("calculated_name", label = "Calculated Name", value = "Sessions Per Pageview") - ), - column(width = 6, - textInput("calculated_exp", label = "Calculated Expression", value = "ga:sessions / ga:pageviews") - ) - ), - fluidRow( - column(width = 6, - multi_selectUI("metric_calc", "Normal Metrics") - ), - column(width = 6, - multi_selectUI("dim_calc", "Dimensions") - ) - ), - fluidRow( - column(width = 6, - dateRangeInput("date_clac", "Date Range") - ), - column(width = 6, - br() - ) - ), - helpText("Calculated metrics let you create your own metrics on the fly"), - actionButton("get_calc", "Fetch Calculated Metric data", icon = icon("download"), class = "btn-success"), - hr(), - h2("Results"), - dataTableOutput("calc_table"), - hr(), - h2("JSON API object"), - helpText("The JSON object for calculated metrics is shown below for reference."), - jsoneditOutput("calc_object") - ), - tabPanel("Pivots", tabName = "pivots", icon = icon("sort-amount-desc"), - h2("Pivots"), - fluidRow( - column(width = 6, - multi_selectUI("metric_pivot", "Metric") - ), - column(width = 6, - multi_selectUI("dim_pivot", "Dimensions") - ) - ), - fluidRow( - column(width = 6, - dateRangeInput("date_pivot", "Date Range") - ), - column(width = 6, - br() - ) - ), - fluidRow( - column(width = 6, - multi_selectUI("metric_pivot2", "Pivot Metric") - ), - column(width = 6, - multi_selectUI("dim_pivot2", "Pivot Dimension") - ) - - ), - - helpText("Pivot fetches reshape the data you can fetch from the API. Useful for making 'long' data 'wide', it means you don't have to perform more data transformation yourself."), - helpText("Examples include breaking out traffic sources per column, or event labels per category."), - actionButton("get_pivot", "Fetch Pivot Data", icon = icon("download"), class = "btn-success"), - hr(), - h2("Results"), - dataTableOutput("pivot_table"), - hr(), - h2("JSON API object"), - helpText("The JSON object for pivots is shown below for reference."), - jsoneditOutput("pivot_object") - ), - tabPanel("Multiple Dates", tabName = "multi_dates", icon = icon("calendar"), - h2("Multiple Dates"), - fluidRow( - column(width = 6, - multi_selectUI("metric_md", "Metric") - ), - column(width = 6, - multi_selectUI("dim_md", "Dimensions") - ) - ), - fluidRow( - column(width = 6, - dateRangeInput("date1_md", "Date Range 1", start = Sys.Date() - 30) - ), - column(width = 6, - dateRangeInput("date2_md", "Date Range 2", start = Sys.Date() - 60, end = Sys.Date() - 31) - ) - - ), - - helpText("Multiple date range fetches let you do direct comparisons without needing two API calls."), - actionButton("get_md", "Fetch Multidate Data", icon = icon("download"), class = "btn-success"), - hr(), - h2("Results"), - dataTableOutput("md_table"), - hr(), - h2("JSON API object"), - helpText("The JSON object for multi-date is shown below for reference."), - jsoneditOutput("md_object") - ), - tabPanel("Cohorts", tabName = "cohorts", icon = icon("users"), - h2("Cohorts"), - fluidRow( - column(width = 6, - multi_selectUI("metric_coh", "Metric") - ), - column(width = 6, - multi_selectUI("dim_coh", "Dimensions") - ) - ), - fluidRow( - column(width = 6, - textInput("coh1", label = "Cohort 1 Name", value = "Cohort 1") - ), - column(width = 6, - dateRangeInput("date_coh1", "Cohort 1 Range", start = Sys.Date() - 30, end = Sys.Date()) - ) - ), - fluidRow( - column(width = 6, - textInput("coh2", label = "Cohort 2 Name", value = "Cohort 2") - ), - column(width = 6, - dateRangeInput("date_coh2", "Cohort 2 Range", start = Sys.Date() - 60, end = Sys.Date() - 30) - ) - ), - fluidRow( - column(width = 6, - textInput("coh3", label = "Cohort 3 Name", value = "Cohort 3") - ), - column(width = 6, - dateRangeInput("date_coh3", "Cohort 3 Range", start = Sys.Date() - 90, end = Sys.Date() - 60) - ) - ), - fluidRow( - column(width = 6, - textInput("coh4", label = "Cohort 4 Name", value = "Cohort 4") - ), - column(width = 6, - dateRangeInput("date_coh4", "Cohort 4 Range", start = Sys.Date() - 120, end = Sys.Date() - 90) - ) - ), - helpText("Cohorts are unique to the v4 API, letting you examine user behaviour as it changes over time."), - actionButton("get_cohort", "Fetch Cohorts Data", icon = icon("download"), class = "btn-success"), - hr(), - h2("Results"), - dataTableOutput("cohort_table"), - hr(), - h2("JSON API object"), - helpText("The JSON object for cohorts is shown below for reference."), - jsoneditOutput("cohort_object") - ), - helpText("Copyright 2016 Sunholo Ltd. Released under MIT license."), - helpText("Created using R, Shiny and ", a(href = "http://code.markedmondson.me/googleAnalyticsR", "googleAnalyticsR")), - helpText(a(href = "http://code.markedmondson.me", "Blog")," | ", a(href = "http://twitter.com/HoloMarkeD", "@HoloMarkeD")) -) - -``` - -### server.R - -```r -library(shiny) -library(googleAuthR) -library(googleAnalyticsR) -library(listviewer) - -## this is set before you launch the app, -## as the default local port is 1221 -## change this to the port you use if on your own Google project keys -options(shiny.port = 1221) -options(googleAuthR.webapp.client_id = "289759286325-42j8nmkeq5n9v9eb1kiuj2i97v9oea1f.apps.googleusercontent.com") -options(googleAuthR.webapp.client_secret = "0zBtmZ_klTEzXUaTUTP5AkNQ") -options(googleAuthR.scopes.selected = c("https://www.googleapis.com/auth/analytics.readonly")) - -shinyServer(function(input, output, session){ - - #####--------- Setup - - token <- callModule(googleAuth, "login") - - ga_accounts <- reactive({ - validate( - need(token(), "Authenticate") - ) - - with_shiny(google_analytics_account_list, shiny_access_token = token()) - }) - - selected_id <- callModule(authDropdown, "auth_menu", ga.table = ga_accounts) - - #####--------- Segments - - segment_built <- callModule(segmentBuilder, "demo_segments") - - segment_metrics <- callModule(multi_select, "metric_seg", type = "METRIC", subType = "segment") - segment_dims <- callModule(multi_select, "dim_seg", type = "DIMENSION", subType = "segment") - - segment_data <- eventReactive(input$get_seg, { - - viewId <- selected_id() - metrics <- segment_metrics() - dims <- c("ga:segment", segment_dims()) - dates <- input$date_seg - segment_built <- segment_built() - - with_shiny(google_analytics_4, - shiny_access_token = token(), - viewId = viewId, - date_range = c(dates[1], dates[2]), - metrics = metrics, - dimensions = dims, - segments = segment_built) - - }) - - output$segment_table <- renderDataTable({ - - segment_data() - - }) - - output$segment_object <- renderJsonedit({ - - jsonedit( - as.list( segment_built() ) - ,"change" = htmlwidgets::JS('function(){ - console.log( event.currentTarget.parentNode.editor.get() ) - }') - ) - - - -}) - - #####--------- Cohorts - - cohort_metrics <- callModule(multi_select, "metric_coh", - type = "METRIC", - subType = "cohort") - - cohort_dims <- callModule(multi_select, "dim_coh", - type = "DIMENSION", - subType = "cohort", - default = "ga:cohort") - - cohort_built <- reactive({ - - coh_d1 <- as.character(input$date_coh1) - coh_d2 <- as.character(input$date_coh2) - coh_d3 <- as.character(input$date_coh3) - coh_d4 <- as.character(input$date_coh4) - coh1 <- input$coh1 - coh2 <- input$coh2 - coh3 <- input$coh3 - coh4 <- input$coh4 - - c_list <- list(c(coh_d1[1], coh_d1[2]), - c(coh_d2[1], coh_d2[2]), - c(coh_d3[1], coh_d3[2]), - c(coh_d4[1], coh_d4[2])) - names(c_list) <- c(coh1, coh2, coh3, coh4) - - make_cohort_group(c_list) - - }) - - cohort_data <- eventReactive(input$get_cohort, { - - viewId <- selected_id() - metrics <- cohort_metrics() - dims <- cohort_dims() - cohort_built <- cohort_built() - - with_shiny(google_analytics_4, - shiny_access_token = token(), - viewId = viewId, - metrics = metrics, - dimensions = dims, - cohort = cohort_built) - - }) - - output$cohort_table <- renderDataTable({ - - cohort_data() - - }) - - output$cohort_object <- renderJsonedit({ - - jsonedit( - as.list( cohort_built() ) - ,"change" = htmlwidgets::JS('function(){ - console.log( event.currentTarget.parentNode.editor.get() ) - }') - ) - - - -}) - - #####--------- Multi-date - - md_metrics <- callModule(multi_select, "metric_md", type = "METRIC", subType = "all") - md_dims <- callModule(multi_select, "dim_md", type = "DIMENSION", subType = "all") - - md_data <- eventReactive(input$get_md, { - - viewId <- selected_id() - metrics <- md_metrics() - dims <- md_dims() - dates1 <- input$date1_md - dates2 <- input$date2_md - - with_shiny(google_analytics_4, - shiny_access_token = token(), - viewId = viewId, - date_range = c(dates1[1], dates1[2], dates2[1], dates2[2]), - metrics = metrics, - dimensions = dims) - - }) - - output$md_table <- renderDataTable({ - - md_data() - - }) - - md_object <- reactive({ - - viewId <- selected_id() - metrics <- md_metrics() - dims <- md_dims() - dates1 <- input$date1_md - dates2 <- input$date2_md - - out <- make_ga_4_req(google_analytics_4, - viewId = viewId, - date_range = c(dates1[1], dates1[2], dates2[1], dates2[2]), - metrics = metrics, - dimensions = dims) - out$dimensionFilterClauses <- NULL - out - - }) - - output$md_object <- renderJsonedit({ - - jsonedit( - as.list( md_object() ) - ,"change" = htmlwidgets::JS('function(){ - console.log( event.currentTarget.parentNode.editor.get() ) - }') - ) - - - -}) - - #####--------- Pivots - - pv_metrics <- callModule(multi_select, "metric_pivot", type = "METRIC", subType = "all") - - pv_dims <- callModule(multi_select, "dim_pivot", - type = "DIMENSION", - subType = "all", - default = "ga:source") - - pv_metrics2 <- callModule(multi_select, "metric_pivot2", type = "METRIC", subType = "all") - - pv_dims2 <- callModule(multi_select, "dim_pivot2", - type = "DIMENSION", - subType = "all", - default = "ga:medium") - - pivot_object <- reactive({ - - - pv_metrics2 <- pv_metrics2() - pv_dims2 <- pv_dims2() - - pivot_ga4(pv_dims2, pv_metrics2) - - }) - - pivot_data <- eventReactive(input$get_pivot,{ - - viewId <- selected_id() - metrics <- pv_metrics() - dims <- pv_dims() - dates <- input$date_pivot - pivot_object <- pivot_object() - - with_shiny(google_analytics_4, - shiny_access_token = token(), - viewId = viewId, - date_range = c(dates[1], dates[2]), - metrics = metrics, - dimensions = dims, - pivots = list(pivot_object)) - - - }) - - output$pivot_table <- renderDataTable({ - - pivot_data() - - }) - - output$pivot_object <- renderJsonedit({ - - jsonedit( - as.list( pivot_object() ) - ,"change" = htmlwidgets::JS('function(){ - console.log( event.currentTarget.parentNode.editor.get() ) - }') - ) - - - -}) - - #####--------- Calculated Metrics - - calc_dim <- callModule(multi_select, "dim_calc", type = "DIMENSION", subType = "all") - calc_met <- callModule(multi_select, "metric_calc", type = "METRIC", subType = "all") - - calc_data <- eventReactive(input$get_calc, { - - viewId <- selected_id() - dims <- calc_dim() - dates <- input$date_clac - metric_name <- gsub(" ", "", input$calculated_name) - metric_exp <- input$calculated_exp - normal_metrics <- calc_met() - - exp_metrics <- setNames(metric_exp, metric_name) - metrics <- c(exp_metrics, normal_metrics) - - with_shiny(google_analytics_4, - shiny_access_token = token(), - viewId = viewId, - date_range = c(dates[1], dates[2]), - metrics = metrics, - dimensions = dims) - - - }) - - output$calc_table <- renderDataTable({ - - calc_data() - - }) - - calc_object <- reactive({ - - viewId <- selected_id() - dims <- calc_dim() - dates <- input$date_clac - metric_name <- gsub(" ", "", input$calculated_name) - metric_exp <- input$calculated_exp - normal_metrics <- calc_met() - - exp_metrics <- setNames(metric_exp, metric_name) - metrics <- c(exp_metrics, normal_metrics) - - make_ga_4_req(viewId = viewId, - date_range = c(dates[1], dates[2]), - metrics = metrics, - dimensions = dims) - - }) - - output$calc_object <- renderJsonedit({ - - jsonedit( - as.list( calc_object() ) - ,"change" = htmlwidgets::JS('function(){ - console.log( event.currentTarget.parentNode.editor.get() ) - }') - ) - - - - }) - - - }) - -``` - - - - diff --git a/vignettes/website/v3.Rmd b/vignettes/website/v3.Rmd deleted file mode 100644 index 501d1bd9..00000000 --- a/vignettes/website/v3.Rmd +++ /dev/null @@ -1,100 +0,0 @@ ---- -title: "Google Analytics Reporting API v3 R functions" ---- - -## v3 features - -New API features will no longer occur for the v3 API, but it still carries a lot of useful capabilties, such as the multi-channel API, and multi-account batching. - -It is also currently the only API that has the WALK flag implemented, to avoid sampling via breaking up big data fetches into multiple batched calls. - - -## Google Anaytics V3 API examples - -Consult `?google_analytics` and see examples below: - -```r -library(googleAnalyticsR) - -## Authenticate in Google OAuth2 -ga_auth() - -## if you need to re-authenticate use ga_auth(new_user=TRUE) - -## if you have your own Google Dev console project keys, -## then don't run ga_auth() as that will set the authentication project to the defaults. -## instead put your options here, and run googleAuthR::gar_auth() - -## get account info, including View Ids -account_list <- google_analytics_account_list() -ga_id <- account_list$viewId[1] - -## get a list of what metrics and dimensions you can use -meta <- google_analytics_meta() -head(meta) - -## pick the account_list$viewId you want to see data for. -## metrics and dimensions can have or have not "ga:" prefix -gadata <- google_analytics(id = ga_id, - start="2015-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium")) - -## multi accounts, pass character vector of viewIds -## outputs a list of data.frames, named after the viewId -## This fetches 10 accounts per API call. -multi_gadata <- google_analytics(id = c("123456","9876545","765432"), - start="2015-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium")) - -## if more than 10000 rows in results, auto batching -## example is setting lots of dimensions to try and create big sampled data -batch_gadata <- google_analytics(id = account_list$viewId[1], - start="2014-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium", "landingPagePath","hour","minute"), - max=99999999) - -## mitigate sampling by setting samplingLevel="WALK" -## this will send lots and lots of calls to the Google API limits, beware -walk_gadata <- google_analytics(id = account_list$viewId[1], - start="2014-08-01", end="2015-08-02", - metrics = c("sessions", "bounceRate"), - dimensions = c("source", "medium", "landingPagePath"), - max=99999999, samplingLevel="WALK") - -## multi-channel funnels set type="mcf" -mcf_gadata <- google_analytics(id = account_list$viewId[1], - start="2015-08-01", end="2015-08-02", - metrics = c("totalConversions"), - dimensions = c("sourcePath"), - type="mcf") - -## google_analytics dataframes include these meta data attributes: -- attr(*, "containsSampledData")= logi FALSE - - attr(*, "samplePercent")= num 100 - - attr(*, "samplingLevel")= chr "DEFAULT" - - attr(*, "profileInfo")=List of 6 - ..$ profileId : chr "535656" - ..$ accountId : chr "2748374" - ..$ webPropertyId : chr "UA-278374-1" - ..$ internalWebPropertyId: chr "5279208" - ..$ profileName : chr "XXXXX" - ..$ tableId : chr "mcf:539656" - - attr(*, "dateRange")=List of 2 - ..$ startDate: chr "2015-08-01" - ..$ endDate : chr "2015-08-02" - - attr(*, "totalResults")= int 4 - -## reach meta-data via attr() -attr(gadata, "profileInfo") -attr(gadata, "dateRange") - -``` - -## Other details - -For syntax of filters and dimensions, this library parses in exactly as specified in the [Google Analytics v3 API docs](https://developers.google.com/analytics/devguides/reporting/core/v3/reference?hl=en#filters), so check those out. - -Note you do not need to encode symbols if passed into `metrics` or `dimensions` parameters, but may have to encode URLs if you are filtering for those in say `ga:pagePath` via `utils::URLencode(url, reserved = TRUE)` diff --git a/vignettes/website/v4.Rmd b/vignettes/website/v4.Rmd deleted file mode 100644 index 9f60871b..00000000 --- a/vignettes/website/v4.Rmd +++ /dev/null @@ -1,512 +0,0 @@ ---- -title: "Google Analytics Reporting API v4 R Examples" ---- - -## v4 features - -The v4 API is where new features will appear in the future. - -It currently has these extras implemented over the v3 API: - -* Cohorts -* Multiple date ranges -* Pivot tables -* Calculated metrics on the fly -* Much more powerful segments - -## v4 API Explorer Shiny app - -A demo Shiny app where you can [explore the new v4 features](https://mark.shinyapps.io/googleAnalyticsRv4Demo/) is available. - -![](v4demoappexample.png) - -## To use - v4 API calls - -Consult `?google_analytics_4` and these example queries: - -```r -## setup -library(googleAnalyticsR) - -## authenticate, or use the RStudio Addin "Google API Auth" with analytics scopes set -ga_auth() - -## get your accounts -account_list <- google_analytics_account_list() - -## pick a profile with data to query -ga_id <- account_list[23,'viewId'] - -``` - -### Anti-sampling v4 - -A new feature from version `0.3.0` is anti-sampling via batching. - -Sampling is due to your API request being over the session limits [outlined in this Google article](https://support.google.com/analytics/answer/2637192). This limit is higher for Google Analytics 360. - -If you split up your API request so that the number of sessions falls under these limits, sampling will not occur. - -#### Sampled data example - -If you have sampling in your data request, `googleAnalyticsR` reports it back to you in the console when making the request. - -```r -> library(googleAnalyticsR) -> ga_auth() -> sampled_data_fetch <- google_analytics_4(id, - date_range = c(“2015-01-01”,”2015-06-21"), - metrics = c("users","sessions","bounceRate"), - dimensions = c("date","landingPagePath","source")) -Calling APIv4.... -Data is sampled, based on 39.75% of visits. -``` - -#### Unsampled data example - -Setting the new argument `anti_sample=TRUE` in a `google_analytics_4()` request now causes the calls to be split up into small enough chunks to avoid sampling. This uses more API calls so the data will reach you slower, but it should hold more detail. - -```r -> library(googleAnalyticsR) -> ga_auth() -> unsampled_data_fetch <- google_analytics_4(id, - date_range = c(“2015-01-01”,”2015-06-21"), - metrics = c("users","sessions","bounceRate"), - dimensions = c("date","landingPagePath","source"), - anti_sample = TRUE) - -anti_sample set to TRUE. Mitigating sampling via multiple API calls. -Finding how much sampling in data request... -Data is sampled, based on 39.75% of visits. -Downloaded [10] rows from a total of [59235]. -Finding number of sessions for anti-sample calculations... -Downloaded [172] rows from a total of [172]. -Calculated [3] batches are needed to download [59235] rows unsampled. -Anti-sample call covering 128 days: 2015-01-01, 2015-05-08 -Looping over [2] batches. -Fetching data... -Fetching data... -Downloaded [59235] rows from a total of [59235]. -Anti-sample call covering 23 days: 2015-05-09, 2015-05-31 -Looping over [2] batches. -Fetching data... -Fetching data... -Downloaded [20239] rows from a total of [20239]. -Anti-sample call covering 21 days: 2015-06-01, 2015-06-21 -Looping over [2] batches. -Fetching data... -Fetching data... -Downloaded [21340] rows from a total of [21340]. -Finished unsampled data request, total rows [100814] -Successfully avoided sampling -``` - -The sequence involves a couple of exploratory API calls to determine the best split. This method will adjust the time periods to have the batch sizes large enough to not take too long, but small enough to have unsampled data. - -#### Auto-anti sampling failure - -In some cases the anti-sampling won't work. This will mainly be due to filters for the View you are using meaning that the calculation for the sampling sessions are incorrect - Google Analytics vanilla samples on a property level (whilst GA360 samples on a View level). - -Try using a raw profile if you can, otherwise you can set your own sample period by using the `anti_sample_batches` flag to indicate the sample size. Pick a number that is a little lower than the smallest period you saw in the auto-sample batches. If in doubt, setting `anti_sample_batches` to 1 will make a daily fetch. - -#### Hourly anti-sampling calls - -For large traffic websites, sometimes even if the batches are down to one API call per day, it isn't enough to remove sampling. In those cases, `googleAnalyticsR` will split the calls further into hourly batches. - -If you are still experiencing sampling with hourly batches, then its time to use the [google_analytics_bq](big-query.html) function :) - -### New Filter Syntax - -```r -## create filters on metrics -mf <- met_filter("bounces", "GREATER_THAN", 0) -mf2 <- met_filter("sessions", "GREATER", 2) - -## create filters on dimensions -df <- dim_filter("source","BEGINS_WITH","1",not = TRUE) -df2 <- dim_filter("source","BEGINS_WITH","a",not = TRUE) - -## construct filter objects -fc2 <- filter_clause_ga4(list(df, df2), operator = "AND") -fc <- filter_clause_ga4(list(mf, mf2), operator = "AND") - -## make v4 request -## demo showing how the new filters work -ga_data1 <- google_analytics_4(ga_id, - date_range = c("2015-07-30","2015-10-01"), - dimensions=c('source','medium'), - metrics = c('sessions','bounces'), - met_filters = fc, - dim_filters = fc2, - filtersExpression = "ga:source!=(direct)") - -ga_data1 - -# source medium sessions bounces -# 1 baby.dk referral 3 2 -# 2 bing organic 71 42 -# 3 buttons-for-website.com referral 7 7 -# 4 duckduckgo.com referral 5 3 -# 5 google organic 642 520 -# 6 google.se referral 3 2 -# 7 izito.se referral 3 1 -# 8 success-seo.com referral 35 35 -# 9 video--production.com referral 11 11 -# 10 yahoo organic 66 43 -# 11 zapmeta.se referral 6 4 -``` - - -### Querying multiple report types at a time - -Example with two date ranges and two reports. When querying two date ranges, you can sort the metrics by how much they have changed by using `orderType = DELTA` e.g. `order_type("sessions", "DESCENDING", "DELTA")` - - -```r -## demo of querying two date ranges at a time -## we make the request via make_ga_4_req() to use in next demo -multidate_test <- make_ga_4_req(ga_id, - date_range = c("2015-07-30", - "2015-10-01", - "2014-07-30", - "2014-10-01"), - dimensions = c('source','medium'), - metrics = c('sessions','bounces'), - order = order_type("sessions", "DESCENDING", "DELTA")) - -ga_data2 <- fetch_google_analytics_4(multidate_test) -ga_data2 -# source medium sessions.d1 bounces.d1 sessions.d2 bounces.d2 -# 1 (direct) (none) 5923 3328 0 0 -# 2 example_mem.co.uk referral 5846 1100 0 0 -# 3 google cpc 5476 2669 0 0 -# 4 examp-link.net referral 2241 653 0 0 -# 5 moneysavingexampl.com referral 1869 549 0 0 -# 6 emailCampaign email 1268 772 0 0 - - -## Demo querying two reports at the same time -## Use make_ga_4_req() to make multiple requests and then send -## them as a list to fetch_google_analytics_4() -multi_test2 <- make_ga_4_req(ga_id, - date_range = c("2015-07-30", - "2015-10-01", - "2014-07-30", - "2014-10-01"), - dimensions=c('hour','medium'), - metrics = c('visitors','bounces')) - -## all requests must have same viewID and dateRange -ga_data3 <- fetch_google_analytics_4(list(multidate_test, multi_test2)) -ga_data3 -# [[1]] -# source medium sessions.d1 bounces.d1 sessions.d2 bounces.d2 -# 1 baby.dk referral 3 2 6 3 -# 2 bing organic 71 42 217 126 -# 3 buttons-for-website.com referral 7 7 0 0 -# 4 duckduckgo.com referral 5 3 0 0 -# 5 google organic 642 520 1286 920 -# 6 google.se referral 3 2 12 9 -# 7 izito.se referral 3 1 0 0 -# 8 success-seo.com referral 35 35 0 0 -# 9 video--production.com referral 11 11 0 0 -# 10 yahoo organic 66 43 236 178 -# 11 zapmeta.se referral 6 4 9 4 -# -# [[2]] -# hour medium visitors.d1 bounces.d1 visitors.d2 bounces.d2 -# 1 00 organic 28 16 85 59 -# 2 00 referral 3 2 1 1 -# 3 01 organic 43 28 93 66 - - -``` - -### On-the-fly calculated metrics - - -```r -ga_data4 <- google_analytics_4(ga_id, - date_range = c("2015-07-30", - "2015-10-01"), - dimensions=c('medium'), - metrics = c(visitsPerVisitor = "ga:visits/ga:visitors", - 'bounces'), - metricFormat = c("FLOAT","INTEGER")) -ga_data4 -# medium visitsPerVisitor bounces -# 1 (none) 1.000000 117 -# 2 organic 1.075137 612 -# 3 referral 1.012500 71 -``` - -### Segments v4 - -Segments are more complex to configure that v3, but more powerful and in line to how you configure them in the UI. - -A lot of feedback for the library is on how to get the segment syntax right, so the examples below try to cover common scenarios. - -#### v3 segments - -You can choose to create segments via the v4 syntax or the v3 syntax for backward compatibility. - -If you want to use v3 segments, then they can be used in the `segment_id` argument of the `segment_ga4()` function. - -You can view the segment Ids by using `ga_segment_list()` and the data.frame in `$items` - -```r -## get list of segments -my_segments <- ga_segment_list() - -## just the segment items -segs <- my_segments$items - -## segment Ids and name: -segs[,c("name","id","defintion")] - -## example output - id name definition -1 -1 All Users -2 -2 New Users sessions::condition::ga:userType==New Visitor -3 -3 Returning Users sessions::condition::ga:userType==Returning Visitor -4 -4 Paid Traffic sessions::condition::ga:medium=~^(cpc|ppc|cpa|cpm|cpv|cpp)$ -5 -5 Organic Traffic sessions::condition::ga:medium==organic -6 -6 Search Traffic sessions::condition::ga:medium=~^(cpc|ppc|cpa|cpm|cpv|cpp|organic)$ -.... - -``` - -The ID you require is in the `$id` column which you need to prefix with "gaid::" - -```r -## choose the v3 segment -segment_for_call <- "gaid::-4" - -## make the v3 segment object in the v4 segment object: -seg_obj <- segment_ga4("PaidTraffic", segment_id = segment_for_call) - -## make the segment call -segmented_ga1 <- google_analytics_4(ga_id, - c("2015-07-30","2015-10-01"), - dimensions=c('source','medium','segment'), - segments = seg_obj, - metrics = c('sessions','bounces') - ) - -``` - -...or you can pass the v3 syntax for dynamic segments found from the `$definition` column: - -```r -## or pass the segment v3 defintion in directly: -segment_def_for_call <- "sessions::condition::ga:medium=~^(cpc|ppc|cpa|cpm|cpv|cpp)$" - -## make the v3 segment object in the v4 segment object: -seg_obj <- segment_ga4("PaidTraffic", segment_id = segment_def_for_call) - -## make the segment call -segmented_ga1 <- google_analytics_4(ga_id, - c("2015-07-30","2015-10-01"), - dimensions=c('source','medium','segment'), - segments = seg_obj, - metrics = c('sessions','bounces') - ) -``` - - -#### v4 segment syntax - -However, its recommended you embrace the new v4 syntax, as its more flexible and powerful in the long run. - -The hierarachy of the segment elements you will need are: - -* *`segment_ga4()`* - this is the top of the segment tree. You can pass one or a list of these into a `google_analytics_4()` segment argument. Here you name the segment as it will appear in the `segment` dimension, and pass in segment definitions either via an existing segmentID or v3 definition; via a user scoped level; or via a session scoped level. The user and session scopes can have one or a list of `segment_define()` functions. -* *`segment_define()`* - this is where you define the types of segment filters that you are passing in - they are combined in a logical AND. The segment filters can be of a `segment_vector_simple` type (where order doesn't matter) or a `segment_vector_sequence` type (where order does matter.) You can also pass in a `not_vector` of the same length as the list of segment filters, which dictates if the segments you pass in are included (the default) or excluded. -* *`segment_vector_simple()`* and *`segment_vector_sequence()`* - these are vectors of `segment_element`, and determine if the conditions are included in a logical OR fashion, or if the sequence of steps is important (for instance users who saw this page, then that page.) -* *`segment_element`* - this is the lowest atom of segments, and lets you define on which metric or dimension you are segmenting on. You pass one or a list of these to *`segment_vector_simple()`* or *`segment_vector_sequence()`* - - -```r -## make two segment elements -se <- segment_element("sessions", - operator = "GREATER_THAN", - type = "METRIC", - comparisonValue = 1, - scope = "USER") - -se2 <- segment_element("medium", - operator = "EXACT", - type = "DIMENSION", - expressions = "organic") - -## choose between segment_vector_simple or segment_vector_sequence -## Elements can be combined into clauses, which can then be combined into OR filter clauses -sv_simple <- segment_vector_simple(list(list(se))) - -sv_simple2 <- segment_vector_simple(list(list(se2))) - -## Each segment vector can then be combined into a logical AND -seg_defined <- segment_define(list(sv_simple, sv_simple2)) - -## Each segement defintion can apply to users, sessions or both. -## You can pass a list of several segments -segment4 <- segment_ga4("simple", user_segment = seg_defined) - -## Add the segments to the segments param -segment_example <- google_analytics_4(ga_id, - c("2015-07-30","2015-10-01"), - dimensions=c('source','medium','segment'), - segments = segment4, - metrics = c('sessions','bounces') - ) - -segment_example -# source medium segment sessions bounces -# 1 24.co.uk referral simple 1 1 -# 2 aidsmap.com referral simple 1 0 -# 3 aol organic simple 30 19 -# 4 ask organic simple 32 17 - - -## Sequence segment - - se2 <- segment_element("medium", - operator = "EXACT", - type = "DIMENSION", - expressions = "organic") - - se3 <- segment_element("medium", - operator = "EXACT", - type = "DIMENSION", - not = TRUE, - expressions = "organic") - - ## step sequence - ## users who arrived via organic then via referral - sv_sequence <- segment_vector_sequence(list(list(se2), - list(se3))) - - seq_defined2 <- segment_define(list(sv_sequence)) - - segment4_seq <- segment_ga4("sequence", user_segment = seq_defined2) - - ## Add the segments to the segments param - segment_seq_example <- google_analytics_4(ga_id, - c("2016-01-01","2016-03-01"), - dimensions=c('source','segment'), - segments = segment4_seq, - metrics = c('sessions','bounces') - ) - -segment_seq_example -# source segment sessions bounces -# 1 aol sequence 1 0 -# 2 ask sequence 5 1 -# 3 bestbackpackersinsurance.co.uk sequence 9 6 -# 4 bing sequence 22 2 -``` - -Some more examples, using some of the match types, contributed by Pawel Kapuscinski: - -```r -con1 <-segment_vector_simple(list(list(segment_element("ga:dimension1", - operator = "REGEXP", - type = "DIMENSION", - expressions = ".*", - scope = "SESSION")))) - -con2 <-segment_vector_simple(list(list(segment_element("ga:deviceCategory", - operator = "EXACT", - type = "DIMENSION", - expressions = "Desktop", - scope = "SESSION")))) - -seq1 <- segment_element("ga:pagePath", - operator = "EXACT", - type = "DIMENSION", - expressions = "yourdomain.com/page-path", - scope = "SESSION") - - -seq2 <- segment_element("ga:eventAction", - operator = "REGEXP", - type = "DIMENSION", - expressions = "english", - scope = "SESSION", - matchType = "IMMEDIATELY_PRECEDES") - -allSEQ <- segment_vector_sequence(list(list(seq1), list(seq2))) - -results <- google_analytics_4(ga_id, - date_range = c("2016-08-08","2016-09-08"), - segments = segment_ga4("sequence+condition", - user_segment = segment_define(list(con1,con2,allSEQ)) - ), - metrics = c('ga:users'), - dimensions = c('ga:segment')) - - -``` - -#### RStudio Addin: Segment helper - -New in version 0.2.0 is an RStudio Addin to help create segments via a UI rather than the lists above. - -You can call it via `googleAnalyticsR:::gadget_GASegment()` or within the RStudio interface like displayed below: - -![Google Analytics v4 segment RStudio Addin](googleAnalyticsRsegmentCreator.gif) - -### Cohort reports - -Details on [cohort reports and LTV can be found here](https://developers.google.com/analytics/devguides/reporting/core/v4/advanced#cohorts). - -```r -## first make a cohort group -cohort4 <- make_cohort_group(list("Jan2016" = c("2016-01-01", "2016-01-31"), - "Feb2016" = c("2016-02-01","2016-02-28"))) - -## then call cohort report. No date_range and must include metrics and dimensions -## from the cohort list -cohort_example <- google_analytics_4(ga_id, - dimensions=c('cohort'), - cohort = cohort4, - metrics = c('cohortTotalUsers')) - -cohort_example -# cohort cohortTotalUsers -# 1 Feb2016 19040 -# 2 Jan2016 23378 - -``` - -### Pivot Requests - - -```r - -## filter pivot results to -pivot_dim_filter1 <- dim_filter("medium", - "REGEXP", - "organic|social|email|cpc") - -pivot_dim_clause <- filter_clause_ga4(list(pivot_dim_filter1)) - -pivme <- pivot_ga4("medium", - metrics = c("sessions"), - maxGroupCount = 4, - dim_filter_clause = pivot_dim_clause) - -pivtest1 <- google_analytics_4(ga_id, - c("2016-01-30","2016-10-01"), - dimensions=c('source'), - metrics = c('sessions'), - pivots = list(pivme)) - - -names(pivtest1) -# [1] "source" "sessions" "medium.referral.sessions" -# [4] "medium..none..sessions" "medium.cpc.sessions" "medium.email.sessions" -# [7] "medium.social.sessions" "medium.twitter.sessions" "medium.socialMedia.sessions" -# [10] "medium.Social.sessions" "medium.linkedin.sessions" - -``` diff --git a/vignettes/website/v4demoappexample.png b/vignettes/website/v4demoappexample.png deleted file mode 100644 index 620857cc82fc46f432d2a480e4f9b1423851fde6..0000000000000000000000000000000000000000 GIT binary patch literal 0 HcmV?d00001 literal 69481 zcmZ^J18}BI({7TDoosB|cCxW;+qP}n*w{8UwylkAn8qzl zJ$GL{VY1R9FpwCK0000mVxofb004loU(WGXy^XP% zr4aytXjoDTnBw;pjG@c%0#tPXK=NFd0+nOtyA8|0Ktyq92tYwWArxdyC<+2yft0eX zG9)!9f^aJY+5XNSCEz>`Um@InCGT$*NQ4~X-h%F>Z#*soyGj3$$D*2bqDaUtE|(22|Fu=jzqfQ^-%%RIWCEzZw@N)+Zc19z8Z@-`@UC;R)e_Ku4r>iFZJ{^V3r z8rB8lra(gruCsqgG22uWe9WOyTbRYotpDMw%q_|xh??Gx3F8b5%MiKb=GHSu&(1v{ z7Cb54=Fi&!bNy?JTOPV7z2G?Mn<~YH#&y{sn=7eD%@+3rAJpb6|AXEAluH;&fI{|b;!1NH_fU*Sv_=Wcnochsfh1TNmh)~1?pG0}&BNOo#M8D7a z-QhLEBitZ92lnWhqHzqO?fPE#2}k@a)dQ=|Uw&l6lEx{HsPB2+(zhjVS!khd@oF*FB(1___0Qd z&?=9cK6IF*iolu>2j3aq22mtTfygYLW+V)9x^Pi}RvuS@SA3dC zk_ZjaGOQ6X39%CK8)7w4So~^yRs0yS1MwJPC%I7KY@B_HzWBa`l6Y1!Mtpi= zkywTpm{_rdO`LUXC&jxYC~ZFBE_q)vc_KTNgPd_-@HCUz1rv(Zw{!4wL@PxU(sIhN zSgAPbIBt^Pl$`jageK&uHpf~LY9g=7X42e8Af!ebKY#6iXJ#aF~%lW53)X_B>1>)~7I zUH5*6x}@wI1s%;DEl+}@+?35$lvBD^-Yz{;YAv~uSJGY(Vis~rIbmP0V@^*`z!0%Y zS#@hXbYyR% zgPb0nGoNp(mYQ!`kY3!#U(bL4A)-PmZjvvZG0CU}q7`giWu1Q^z+IMIuN|!2xMAg$ z*;(mb_QCVc^KH3%6mR9{>{b!JrK#00{hGLbweBQCHB*<>kH)JyRf`$x z>($w5h93K_eJ#p#CEo?%a+>n$MV3X+Q<76VOzI4_42leV4Yl98zp0y4&T5>koh{BM zm%Zwmo2D9g^*)OOY6Z#!0{ZF)+9JNA;Hq)$lxz<>a_y1X=W!0OV>=?Umvb^^m1pI& zn6}kunQIPe-fJmn#ieB^@W+m3=9bmF7`{)Tx-^Oj2y|A7Ya#SQq5^4 z*Por(7w(&lO;yEe_GsEMz+$2zFTpbpjx6n&^);M8}OU; zs^%H!o9)yS4HaaG?T$>27>&@fUt~f~o+9NWej~?~50JM|D4xrkO`n4}wmU9vWmr?R zeiUCwVyAp{3+^DuChOxda2W*NjL{+V1s(%FPpd0wZN;De{(*-zX+K&v{*sEF=EWew z5t89xkknH)Q9fw@%ic#lN^L@YJ*hamna9R8>NH*8S=QUrdr5twF~~w>$*sCvLqz>fQ9g;5lYa<9qXib^S(@52rP!%WD?)B!Nz2li4{8Ba_orbe^YoueJAuGa3J*KQNCIwn(4<7pxt zE05f5>0frvFJdn?B)n6qG#}bLYlj*S-;jqWO{!LPxVsC}SU0?x-&;sj zJK3B{Wn`RtIeTHhN4!qKu)%4z?Ax8*SPh<^2KWWMyAWKgVXJcxwT*SYo@uZCT6(O% zkl|K+gnzAhikr``8ybx%_nG^wR5PUJ;5?)E+!b3+03)o3L+yg{{$x;pN_=Usl(ee& zNPDhl+|}Oono8lq_3H7Uzpp!jJLWCZKK{jVUp$t>N|Hw^taGa))3tJ=d~J2kIp(63 z(323eS=^QLBKszHZLm)ITZTI)pC?Aj$fw7L{Il${aW`YLIb`m5ZjOs2=Xo6x&$K%% z44|VF#1|vLJ%k596tO=0sr{!K?q^oF&yL#Wn^uWK={d0OVES|Aw=F#Pg|ylNQ{b;J zunQnvC@8x(0e?ZL+ZFXamihEVDVZ*zUwGQMzSRPAa|%{-b2=8&#+TowpS>3&rocnI zbD8kLboMDXpx4@9-y%MM$TR?}45#^UzrI`{Y(>=^002;k|2%+V@}G_F>*U(x^oT&^5nuU1BmdU&o@mevj&uG|EFB{;s`{}j^_;QbYG zwBROCm6F91u(3D7W2RxEp(Egd#KXhmvNts5kQWsG7yk8+o50l3(Uyaj*2Tqz#)Xl_ z#@>XMo}HbYmX3jzfr0uO&j_Z#y z4p}o-BTF?wGba!*Bk0D01c#BrrjCLwmpX7DTuhjJ0l;GL6$CSvzrsIX z%06<-Hp;~zgZRhjCh>IPLnHX)lI~L+3jLO z=VTg7Qa4STo6&WW*&2j3gph(54CLhK(!~i&1x_$yLzU|!;X~P6VNfBZrKRTd3NG1! 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