diff --git a/.github/workflows/R-CMD-check.yaml b/.github/workflows/R-CMD-check.yaml
index fa7b90ad..770082fe 100644
--- a/.github/workflows/R-CMD-check.yaml
+++ b/.github/workflows/R-CMD-check.yaml
@@ -2,11 +2,12 @@
# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
on:
push:
- branches: [develop, main]
+ branches: [main, develop]
pull_request:
- branches: [develop, main]
-name: R-CMD-check
+name: R-CMD-check.yaml
+
+permissions: read-all
jobs:
R-CMD-check:
@@ -18,7 +19,7 @@ jobs:
fail-fast: false
matrix:
config:
- - {os: macOS-latest, r: 'release'}
+ - {os: macos-latest, r: 'release'}
- {os: windows-latest, r: 'release'}
- {os: ubuntu-latest, r: 'devel', http-user-agent: 'release'}
- {os: ubuntu-latest, r: 'release'}
@@ -29,7 +30,7 @@ jobs:
R_KEEP_PKG_SOURCE: yes
steps:
- - uses: actions/checkout@v2
+ - uses: actions/checkout@v4
- uses: r-lib/actions/setup-pandoc@v2
@@ -47,3 +48,4 @@ jobs:
- uses: r-lib/actions/check-r-package@v2
with:
upload-snapshots: true
+ build_args: 'c("--no-manual","--compact-vignettes=gs+qpdf")'
diff --git a/.github/workflows/manual-standard-check.yaml b/.github/workflows/manual-standard-check.yaml
deleted file mode 100644
index 0cf77353..00000000
--- a/.github/workflows/manual-standard-check.yaml
+++ /dev/null
@@ -1,78 +0,0 @@
-# A manually-triggered R CMD check. Runs on all R versions and OS's
-# and should be used when preparing for a release.
-on: workflow_dispatch
-
-name: manual-standard-check
-
-jobs:
- manual-standard-check:
- runs-on: ${{ matrix.config.os }}
-
- name: ${{ matrix.config.os }} (${{ matrix.config.r }})
-
- strategy:
- fail-fast: false
- matrix:
- config:
- - {os: windows-latest, r: 'release'}
- - {os: macOS-latest, r: 'release'}
- - {os: ubuntu-20.04, r: 'release', rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest"}
- - {os: ubuntu-20.04, r: 'devel', rspm: "https://packagemanager.rstudio.com/cran/__linux__/focal/latest"}
-
- env:
- R_REMOTES_NO_ERRORS_FROM_WARNINGS: true
- RSPM: ${{ matrix.config.rspm }}
- GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
-
- steps:
- - uses: actions/checkout@v2
-
- - uses: r-lib/actions/setup-r@v1
- with:
- r-version: ${{ matrix.config.r }}
-
- - uses: r-lib/actions/setup-pandoc@v1
-
- - name: Query dependencies
- run: |
- install.packages('remotes')
- saveRDS(remotes::dev_package_deps(dependencies = TRUE), ".github/depends.Rds", version = 2)
- writeLines(sprintf("R-%i.%i", getRversion()$major, getRversion()$minor), ".github/R-version")
- shell: Rscript {0}
-
- - name: Cache R packages
- if: runner.os != 'Windows'
- uses: actions/cache@v2
- with:
- path: ${{ env.R_LIBS_USER }}
- key: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-${{ hashFiles('.github/depends.Rds') }}
- restore-keys: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-
-
- - name: Install system dependencies
- if: runner.os == 'Linux'
- run: |
- while read -r cmd
- do
- eval sudo $cmd
- done < <(Rscript -e 'writeLines(remotes::system_requirements("ubuntu", "20.04"))')
-
- - name: Install dependencies
- run: |
- remotes::install_deps(dependencies = TRUE)
- remotes::install_cran("rcmdcheck")
- shell: Rscript {0}
-
- - name: Check
- env:
- _R_CHECK_CRAN_INCOMING_REMOTE_: false
- run: |
- options(crayon.enabled = TRUE)
- rcmdcheck::rcmdcheck(args = c("--no-manual", "--as-cran"), error_on = "warning", check_dir = "check")
- shell: Rscript {0}
-
- - name: Upload check results
- if: failure()
- uses: actions/upload-artifact@main
- with:
- name: ${{ runner.os }}-r${{ matrix.config.r }}-results
- path: check
\ No newline at end of file
diff --git a/.github/workflows/pkgdown.yaml b/.github/workflows/pkgdown.yaml
deleted file mode 100644
index 62e2fde5..00000000
--- a/.github/workflows/pkgdown.yaml
+++ /dev/null
@@ -1,47 +0,0 @@
-on:
- push:
- branches:
- - main
-
-name: pkgdown
-
-jobs:
- pkgdown:
- runs-on: macOS-latest
- env:
- GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
- steps:
- - uses: actions/checkout@v2
-
- - uses: r-lib/actions/setup-r@v2
-
- - uses: r-lib/actions/setup-pandoc@v2
-
- - name: Query dependencies
- run: |
- install.packages('remotes')
- saveRDS(remotes::dev_package_deps(dependencies = TRUE), ".github/depends.Rds", version = 2)
- writeLines(sprintf("R-%i.%i", getRversion()$major, getRversion()$minor), ".github/R-version")
- shell: Rscript {0}
-
- - name: Cache R packages
- uses: actions/cache@v2
- with:
- path: ${{ env.R_LIBS_USER }}
- key: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-${{ hashFiles('.github/depends.Rds') }}
- restore-keys: ${{ runner.os }}-${{ hashFiles('.github/R-version') }}-1-
-
- - name: Install dependencies
- run: |
- remotes::install_deps(dependencies = TRUE)
- install.packages("pkgdown", type = "binary")
- shell: Rscript {0}
-
- - name: Install package
- run: R CMD INSTALL .
-
- - name: Deploy package
- run: |
- git config --local user.email "actions@github.com"
- git config --local user.name "GitHub Actions"
- Rscript -e 'pkgdown::deploy_to_branch(new_process = FALSE)'
diff --git a/.github/workflows/test-coverage.yaml b/.github/workflows/test-coverage.yaml
index 51b996fc..e050312f 100644
--- a/.github/workflows/test-coverage.yaml
+++ b/.github/workflows/test-coverage.yaml
@@ -1,54 +1,61 @@
+# Workflow derived from https://github.com/r-lib/actions/tree/v2/examples
+# Need help debugging build failures? Start at https://github.com/r-lib/actions#where-to-find-help
on:
push:
- branches:
- - main
+ branches: [main, master]
pull_request:
- branches:
- - main
-name: test-coverage
+name: test-coverage.yaml
+
+permissions: read-all
jobs:
test-coverage:
- runs-on: ubuntu-18.04
+ runs-on: ubuntu-latest
env:
- RSPM: https://packagemanager.rstudio.com/cran/__linux__/bionic/latest
GITHUB_PAT: ${{ secrets.GITHUB_TOKEN }}
steps:
- - uses: actions/checkout@v2
+ - uses: actions/checkout@v4
- uses: r-lib/actions/setup-r@v2
- id: install-r
-
- - name: Install pak and query dependencies
- run: |
- install.packages("pak", repos = "https://r-lib.github.io/p/pak/dev/")
- saveRDS(pak::pkg_deps("local::.", dependencies = TRUE), ".github/r-depends.rds")
- shell: Rscript {0}
+ with:
+ use-public-rspm: true
- - name: Restore R package cache
- uses: actions/cache@v2
+ - uses: r-lib/actions/setup-r-dependencies@v2
with:
- path: |
- ${{ env.R_LIBS_USER }}/*
- !${{ env.R_LIBS_USER }}/pak
- key: ubuntu-18.04-${{ steps.install-r.outputs.installed-r-version }}-1-${{ hashFiles('.github/r-depends.rds') }}
- restore-keys: ubuntu-18.04-${{ steps.install-r.outputs.installed-r-version }}-1-
-
- - name: Install system dependencies
- if: runner.os == 'Linux'
+ extra-packages: any::covr, any::xml2
+ needs: coverage
+
+ - name: Test coverage
run: |
- pak::local_system_requirements(execute = TRUE)
- pak::pkg_system_requirements("covr", execute = TRUE)
+ cov <- covr::package_coverage(
+ quiet = FALSE,
+ clean = FALSE,
+ install_path = file.path(normalizePath(Sys.getenv("RUNNER_TEMP"), winslash = "/"), "package")
+ )
+ covr::to_cobertura(cov)
shell: Rscript {0}
- - name: Install dependencies
+ - uses: codecov/codecov-action@v4
+ with:
+ # Fail if error if not on PR, or if on PR and token is given
+ fail_ci_if_error: ${{ github.event_name != 'pull_request' || secrets.CODECOV_TOKEN }}
+ file: ./cobertura.xml
+ plugin: noop
+ disable_search: true
+ token: ${{ secrets.CODECOV_TOKEN }}
+
+ - name: Show testthat output
+ if: always()
run: |
- pak::local_install_dev_deps(upgrade = TRUE)
- pak::pkg_install("covr")
- shell: Rscript {0}
+ ## --------------------------------------------------------------------
+ find '${{ runner.temp }}/package' -name 'testthat.Rout*' -exec cat '{}' \; || true
+ shell: bash
- - name: Test coverage
- run: covr::codecov()
- shell: Rscript {0}
+ - name: Upload test results
+ if: failure()
+ uses: actions/upload-artifact@v4
+ with:
+ name: coverage-test-failures
+ path: ${{ runner.temp }}/package
diff --git a/DESCRIPTION b/DESCRIPTION
index 9d302ee0..32fa4227 100644
--- a/DESCRIPTION
+++ b/DESCRIPTION
@@ -121,7 +121,7 @@ Depends:
R (>= 3.1.2)
Imports:
cli,
- dplyr (>= 0.8.0),
+ dplyr (>= 1.0.0),
knitr (>= 1.2),
magrittr (>= 1.5),
pillar (>= 1.6.4),
@@ -133,23 +133,21 @@ Imports:
tibble (>= 2.0.0),
tidyr (>= 1.0),
tidyselect (>= 1.0.0),
- vctrs
+ vctrs (>= 0.5.0)
Suggests:
- covr,
- crayon,
data.table,
dtplyr,
extrafont,
haven,
lubridate,
rmarkdown,
- testthat (>= 2.0.0),
+ testthat (>= 3.0.0),
withr
VignetteBuilder:
knitr
Encoding: UTF-8
Roxygen: list(markdown = TRUE)
-RoxygenNote: 7.2.3
+RoxygenNote: 7.3.2
Collate:
'deprecated.R'
'dplyr.R'
@@ -165,3 +163,4 @@ Collate:
'summary.R'
'utils.R'
'vctrs.R'
+Config/testthat/edition: 3
diff --git a/R/reshape.R b/R/reshape.R
index 88e0b147..be95b6ea 100644
--- a/R/reshape.R
+++ b/R/reshape.R
@@ -81,10 +81,9 @@ reconcile_skimmers <- function(data, groups, base) {
extra_cols <- dplyr::setdiff(all_columns, with_base_columns)
if (length(extra_cols) > 0) {
grouped <- dplyr::group_by(data, .data$skim_type)
- complete_by_type <- dplyr::summarize_at(
+ complete_by_type <- dplyr::summarise(
grouped,
- extra_cols,
- ~ !all(is.na(.x))
+ dplyr::across(tidyselect::all_of(extra_cols), ~ !all(is.na(.x)))
)
complete_cols <- purrr::pmap(
complete_by_type,
@@ -242,12 +241,12 @@ to_long.default <- function(.data, ..., skim_fun = skim) {
#' @describeIn to_long Transform a skim_df to a long data frame.
#' @export
to_long.skim_df <- function(.data, ..., skim_fun = skim) {
- tidyr::gather(
+ .data <- dplyr::mutate(.data, dplyr::across(dplyr::everything(), as.character))
+ tidyr::pivot_longer(
.data,
- key = "stat",
- value = "formatted",
- na.rm = TRUE,
- -"skim_type",
- -"skim_variable"
+ cols = c(-"skim_type", -"skim_variable"),
+ names_to = "stat",
+ values_to = "formatted",
+ values_drop_na = TRUE
)
}
diff --git a/R/skim.R b/R/skim.R
index 06d6a818..950adde9 100644
--- a/R/skim.R
+++ b/R/skim.R
@@ -73,7 +73,7 @@
#' iris %>%
#' skim() %>%
#' dplyr::select(numeric.mean) %>%
-#' dplyr::top_n(5)
+#' dplyr::slice_head(n = 5)
#'
#' # Which of my columns have missing values? Use the base skimmer n_missing.
#' iris %>%
diff --git a/R/skim_print.R b/R/skim_print.R
index 1ebf5f64..5fde5a48 100644
--- a/R/skim_print.R
+++ b/R/skim_print.R
@@ -26,7 +26,7 @@
#'
#' @inheritParams tibble::print.tbl
#' @seealso [tibble::trunc_mat()] For a list of global options for customizing
-#' print formatting. [crayon::has_color()] for the variety of issues that
+#' print formatting. [cli::num_ansi_colors()] for the variety of issues that
#' affect tibble's color support.
#' @param include_summary Whether a summary of the data frame should be printed
#' @param summary_rule_width Width of Data Summary cli rule, defaults to 40.
diff --git a/R/skimr-package.R b/R/skimr-package.R
index 74df0771..241224df 100644
--- a/R/skimr-package.R
+++ b/R/skimr-package.R
@@ -10,16 +10,12 @@
#' provides an API for customization. Users can change both the functions
#' dispatched and the way the results are formatted.
#'
-#' @importFrom rlang .data
-#' @name skimr-package
-#' @aliases skimr
-#' @docType package
-NULL
+"_PACKAGE"
# Imports -----------------------------------------------------------------
-#' @importFrom rlang %||%
+#' @importFrom rlang %||% .data
#' @importFrom magrittr %>%
#' @export
diff --git a/README.Rmd b/README.Rmd
index 06240715..f70a609c 100644
--- a/README.Rmd
+++ b/README.Rmd
@@ -8,21 +8,22 @@ align="right" height="139" />
```{r set-options, echo=FALSE, message=FALSE}
library(skimr)
-options(tibble.width = Inf)
+options(pillar.width = Inf)
options(width = 100)
```
+
[](https://www.repostatus.org/)
-[](https://github.com/ropensci/skimr/actions?workflow=R-CMD-check)
-[](https://app.codecov.io/gh/ropensci/skimr)
+[](https://github.com/ropensci/skimr/actions/workflows/R-CMD-check.yaml)
+[](https://app.codecov.io/gh/ropensci/skimr)
[](https://github.com/ropensci/software-review/issues/175)
[](https://cran.r-project.org/package=skimr)
[](https://badges.cranchecks.info/worst/skimr.svg)
+
`skimr` provides a frictionless approach to summary statistics which conforms
diff --git a/README.md b/README.md
index 6f9b0656..82a1f717 100644
--- a/README.md
+++ b/README.md
@@ -5,16 +5,20 @@
+
+
[](https://www.repostatus.org/)
-[](https://github.com/ropensci/skimr/actions?workflow=R-CMD-check)
-[](https://app.codecov.io/gh/ropensci/skimr)
+[](https://github.com/ropensci/skimr/actions/workflows/R-CMD-check.yaml)
+[](https://app.codecov.io/gh/ropensci/skimr)
[](https://github.com/ropensci/software-review/issues/175)
[](https://cran.r-project.org/package=skimr)
-[](https://cran.r-project.org/web/checks/check_results_skimr.html)
+[](https://badges.cranchecks.info/worst/skimr.svg)
+
`skimr` provides a frictionless approach to summary statistics which
conforms to the [principle of least
@@ -130,7 +134,7 @@ change.
## ── Variable type: character ────────────────────────────────────────────────────────────────────────
## skim_variable n_missing complete_rate min max empty n_unique whitespace
## 1 name 0 1 3 21 0 87 0
- ## 2 hair_color 5 0.943 4 13 0 12 0
+ ## 2 hair_color 5 0.943 4 13 0 11 0
## 3 skin_color 0 1 3 19 0 31 0
## 4 eye_color 0 1 3 13 0 15 0
## 5 sex 4 0.954 4 14 0 4 0
@@ -142,11 +146,11 @@ change.
## skim_variable n_missing complete_rate n_unique min_length max_length
## 1 films 0 1 24 1 7
## 2 vehicles 0 1 11 0 2
- ## 3 starships 0 1 17 0 5
+ ## 3 starships 0 1 16 0 5
##
## ── Variable type: numeric ──────────────────────────────────────────────────────────────────────────
## skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
- ## 1 height 6 0.931 174. 34.8 66 167 180 191 264 ▁▁▇▅▁
+ ## 1 height 6 0.931 175. 34.8 66 167 180 191 264 ▂▁▇▅▁
## 2 mass 28 0.678 97.3 169. 15 55.6 79 84.5 1358 ▇▁▁▁▁
## 3 birth_year 44 0.494 87.6 155. 8 35 52 72 896 ▇▁▁▁▁
diff --git a/man/fix_windows_histograms.Rd b/man/fix_windows_histograms.Rd
index 66fab42b..0a96bb98 100644
--- a/man/fix_windows_histograms.Rd
+++ b/man/fix_windows_histograms.Rd
@@ -8,13 +8,13 @@ fix_windows_histograms()
}
\description{
This functions changes your session's locale to address issues with printing
-histograms on Windows.
+histograms on Windows on versions of R below 4.2.1.
}
\details{
There are known issues with printing the spark-histogram characters when
printing a data frame, appearing like this: "".
This longstanding problem originates in the low-level code for printing
-dataframes.
+dataframes. This was addressed in R version 4.2.1.
}
\seealso{
\code{\link[=skim_without_charts]{skim_without_charts()}}
diff --git a/man/print.Rd b/man/print.Rd
index f89681db..da286e7b 100644
--- a/man/print.Rd
+++ b/man/print.Rd
@@ -35,7 +35,7 @@ means use the \code{width} \link[pillar:pillar_options]{option}.}
\item{summary_rule_width}{Width of Data Summary cli rule, defaults to 40.}
-\item{...}{Passed on to \code{\link[=tbl_format_setup]{tbl_format_setup()}}.}
+\item{...}{Passed on to \code{\link[pillar:tbl_format_setup]{pillar::tbl_format_setup()}}.}
\item{.summary_rule_width}{the width for the main rule above the summary.}
}
@@ -81,6 +81,6 @@ You can control the width rule line for the printed subtables with an option:
\seealso{
\code{\link[tibble:trunc_mat]{tibble::trunc_mat()}} For a list of global options for customizing
-print formatting. \code{\link[crayon:has_color]{crayon::has_color()}} for the variety of issues that
+print formatting. \code{\link[cli:num_ansi_colors]{cli::num_ansi_colors()}} for the variety of issues that
affect tibble's color support.
}
diff --git a/man/skim.Rd b/man/skim.Rd
index f73600f1..6e6ff303 100644
--- a/man/skim.Rd
+++ b/man/skim.Rd
@@ -100,7 +100,7 @@ iris \%>\%
iris \%>\%
skim() \%>\%
dplyr::select(numeric.mean) \%>\%
- dplyr::top_n(5)
+ dplyr::slice_head(n = 5)
# Which of my columns have missing values? Use the base skimmer n_missing.
iris \%>\%
diff --git a/man/skimr-package.Rd b/man/skimr-package.Rd
index 73337290..ee151c8d 100644
--- a/man/skimr-package.Rd
+++ b/man/skimr-package.Rd
@@ -2,8 +2,8 @@
% Please edit documentation in R/skimr-package.R
\docType{package}
\name{skimr-package}
-\alias{skimr-package}
\alias{skimr}
+\alias{skimr-package}
\title{Skim a data frame}
\description{
This package provides an alternative to the default summary functions
@@ -17,3 +17,49 @@ that are generated for a variety of different data types. It is also
provides an API for customization. Users can change both the functions
dispatched and the way the results are formatted.
}
+\seealso{
+Useful links:
+\itemize{
+ \item \url{https://docs.ropensci.org/skimr/ (website)}
+ \item \url{https://github.com/ropensci/skimr/}
+ \item Report bugs at \url{https://github.com/ropensci/skimr/issues}
+}
+
+}
+\author{
+\strong{Maintainer}: Elin Waring \email{elin.waring@gmail.com}
+
+Authors:
+\itemize{
+ \item Michael Quinn \email{msquinn@google.com}
+ \item Amelia McNamara \email{amcnamara@smith.edu}
+ \item Eduardo Arino de la Rubia \email{earino@gmail.com}
+ \item Hao Zhu \email{haozhu233@gmail.com}
+ \item Shannon Ellis \email{sellis18@jhmi.edu}
+}
+
+Other contributors:
+\itemize{
+ \item Julia Lowndes \email{lowndes@nceas.ucsb.edu} [contributor]
+ \item Hope McLeod \email{hmgit2@gmail.com} [contributor]
+ \item Hadley Wickham \email{hadley@rstudio.com} [contributor]
+ \item Kirill Müller \email{krlmlr+r@mailbox.org} [contributor]
+ \item RStudio, Inc. (Spark functions) [copyright holder]
+ \item Connor Kirkpatrick \email{hello@connorkirkpatrick.com} [contributor]
+ \item Scott Brenstuhl \email{brenstsr@miamioh.edu} [contributor]
+ \item Patrick Schratz \email{patrick.schratz@gmail.com} [contributor]
+ \item lbusett \email{lbusett@gmail.com} [contributor]
+ \item Mikko Korpela \email{mvkorpel@iki.fi} [contributor]
+ \item Jennifer Thompson \email{thompson.jennifer@gmail.com} [contributor]
+ \item Harris McGehee \email{mcgehee.harris@gmail.com} [contributor]
+ \item Mark Roepke \email{mroepke5@gmail.com} [contributor]
+ \item Patrick Kennedy \email{pkqstr@protonmail.com} [contributor]
+ \item Daniel Possenriede \email{possenriede@gmail.com} [contributor]
+ \item David Zimmermann \email{david_j_zimmermann@hotmail.com} [contributor]
+ \item Kyle Butts \email{buttskyle96@gmail.com} [contributor]
+ \item Bastian Torges \email{bastian.torges@gmail.com} [contributor]
+ \item Rick Saporta \email{Rick@TheFarmersDog.com} [contributor]
+ \item Henry Morgan Stewart \email{henry.morganstewart@gmail.com} [contributor]
+}
+
+}
diff --git a/man/skimr-vctrs.Rd b/man/skimr-vctrs.Rd
index e01ce9e3..121d44da 100644
--- a/man/skimr-vctrs.Rd
+++ b/man/skimr-vctrs.Rd
@@ -31,7 +31,7 @@ why this is important and how these functions work, see:
\details{
\verb{vec_ptype2.*} handles finding common prototypes between \code{skim_df} and
similar objects. \verb{vec_cast.*} handles casting between objects. Note that
-as of \verb{dplyr 1.0.2}, \code{\link[dplyr:bind]{dplyr::bind_rows()}} does not full support combining
+as of \verb{dplyr 1.0.2}, \code{\link[dplyr:bind_rows]{dplyr::bind_rows()}} does not full support combining
attributes and \code{\link[vctrs:vec_bind]{vctrs::vec_rbind()}} is preferred instead.
}
\keyword{internal}
diff --git a/tests/testthat.R b/tests/testthat.R
index e505969a..0c220f56 100644
--- a/tests/testthat.R
+++ b/tests/testthat.R
@@ -1,3 +1,11 @@
+# This file is part of the standard setup for testthat.
+# It is recommended that you do not modify it.
+#
+# Where should you do additional test configuration?
+# Learn more about the roles of various files in:
+# * https://r-pkgs.org/testing-design.html#sec-tests-files-overview
+# * https://testthat.r-lib.org/articles/special-files.html
+
library(testthat)
library(skimr)
diff --git a/tests/testthat/_snaps/data-table.md b/tests/testthat/_snaps/data-table.md
new file mode 100644
index 00000000..99322c17
--- /dev/null
+++ b/tests/testthat/_snaps/data-table.md
@@ -0,0 +1,143 @@
+# skim of a simple data.table produces output as expected
+
+ Code
+ skimmed_DT_letters
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name DT_letters
+ Number of rows 26
+ Number of columns 1
+ Key NULL
+ _______________________
+ Column type frequency:
+ character 1
+ ________________________
+ Group variables None
+
+ -- Variable type: character ---------------------------------------------------------------
+ skim_variable n_missing complete_rate min max empty n_unique whitespace
+ 1 abc 0 1 1 1 0 26 0
+
+# skim of data.table produces output as expected
+
+ Code
+ skim(DT_factors)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name DT_factors
+ Number of rows 26
+ Number of columns 3
+ Key NULL
+ _______________________
+ Column type frequency:
+ character 1
+ factor 1
+ numeric 1
+ ________________________
+ Group variables None
+
+ -- Variable type: character ---------------------------------------------------------------
+ skim_variable n_missing complete_rate min max empty n_unique whitespace
+ 1 abc 0 1 1 1 0 26 0
+
+ -- Variable type: factor ------------------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique top_counts
+ 1 grps 0 1 FALSE 2 AA: 18, BB: 8
+
+ -- Variable type: numeric -----------------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
+
+---
+
+ Code
+ skim(DT_factors)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name DT_factors
+ Number of rows 26
+ Number of columns 3
+ Key abc, grps
+ _______________________
+ Column type frequency:
+ character 1
+ factor 1
+ numeric 1
+ ________________________
+ Group variables None
+
+ -- Variable type: character ---------------------------------------------------------------
+ skim_variable n_missing complete_rate min max empty n_unique whitespace
+ 1 abc 0 1 1 1 0 26 0
+
+ -- Variable type: factor ------------------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique top_counts
+ 1 grps 0 1 FALSE 2 AA: 18, BB: 8
+
+ -- Variable type: numeric -----------------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
+
+---
+
+ Code
+ skim(DF_factors)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name DF_factors
+ Number of rows 26
+ Number of columns 3
+ _______________________
+ Column type frequency:
+ character 1
+ factor 1
+ numeric 1
+ ________________________
+ Group variables None
+
+ -- Variable type: character ---------------------------------------------------------------
+ skim_variable n_missing complete_rate min max empty n_unique whitespace
+ 1 abc 0 1 1 1 0 26 0
+
+ -- Variable type: factor ------------------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique top_counts
+ 1 grps 0 1 FALSE 2 AA: 18, BB: 8
+
+ -- Variable type: numeric -----------------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
+
+---
+
+ Code
+ skim(tibble_factors)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name tibble_factors
+ Number of rows 26
+ Number of columns 3
+ _______________________
+ Column type frequency:
+ character 1
+ factor 1
+ numeric 1
+ ________________________
+ Group variables None
+
+ -- Variable type: character ---------------------------------------------------------------
+ skim_variable n_missing complete_rate min max empty n_unique whitespace
+ 1 abc 0 1 1 1 0 26 0
+
+ -- Variable type: factor ------------------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique top_counts
+ 1 grps 0 1 FALSE 2 AA: 18, BB: 8
+
+ -- Variable type: numeric -----------------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
+
diff --git a/tests/testthat/_snaps/dplyr.md b/tests/testthat/_snaps/dplyr.md
new file mode 100644
index 00000000..b479cd95
--- /dev/null
+++ b/tests/testthat/_snaps/dplyr.md
@@ -0,0 +1,153 @@
+# dplyr::filter works as expected
+
+ Code
+ dplyr::filter(skimmed_iris, skim_type == "numeric")
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+ Code
+ dplyr::filter(skimmed_iris, skim_type == "no_type")
+ Output
+ # A tibble: 0 x 15
+ # i 15 variables: skim_type , skim_variable , n_missing ,
+ # complete_rate , factor.ordered , factor.n_unique ,
+ # factor.top_counts , numeric.mean , numeric.sd ,
+ # numeric.p0 , numeric.p25 , numeric.p50 , numeric.p75 ,
+ # numeric.p100 , numeric.hist
+
+# dplyr::select works as expected
+
+ Code
+ with_type
+ Output
+ # A tibble: 5 x 2
+ skim_type skim_variable
+
+ 1 factor Species
+ 2 numeric Sepal.Length
+ 3 numeric Sepal.Width
+ 4 numeric Petal.Length
+ 5 numeric Petal.Width
+
+---
+
+ Code
+ without_type
+ Output
+ # A tibble: 5 x 1
+ numeric.mean
+
+ 1 NA
+ 2 5.84
+ 3 3.06
+ 4 3.76
+ 5 1.20
+
+# dplyr::mutate works as expected
+
+ Code
+ input
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+ mean2
+ 1 34.1
+ 2 9.35
+ 3 14.1
+ 4 1.44
+
+# dplyr::slice works as expected
+
+ Code
+ input
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 2
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+
+# dplyr::arrange works as expected
+
+ Code
+ dplyr::arrange(skimmed_iris, desc(numeric.mean))
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 3 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+
diff --git a/tests/testthat/_snaps/skim_print.md b/tests/testthat/_snaps/skim_print.md
new file mode 100644
index 00000000..186cb1ea
--- /dev/null
+++ b/tests/testthat/_snaps/skim_print.md
@@ -0,0 +1,393 @@
+# Skim prints a header for the entire output and each type
+
+ Code
+ input <- skim(iris)
+ input
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+ Code
+ input$numeric.hist <- NULL
+ input
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5
+
+# Skim prints a special header for grouped data frames
+
+ Code
+ skim(dplyr::group_by(iris, Species))
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name dplyr::group_by(iris, Spe...
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ numeric 4
+ ________________________
+ Group variables Species
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable Species n_missing complete_rate mean sd p0 p25 p50
+ 1 Sepal.Length setosa 0 1 5.01 0.352 4.3 4.8 5
+ 2 Sepal.Length versicolor 0 1 5.94 0.516 4.9 5.6 5.9
+ 3 Sepal.Length virginica 0 1 6.59 0.636 4.9 6.22 6.5
+ 4 Sepal.Width setosa 0 1 3.43 0.379 2.3 3.2 3.4
+ 5 Sepal.Width versicolor 0 1 2.77 0.314 2 2.52 2.8
+ 6 Sepal.Width virginica 0 1 2.97 0.322 2.2 2.8 3
+ 7 Petal.Length setosa 0 1 1.46 0.174 1 1.4 1.5
+ 8 Petal.Length versicolor 0 1 4.26 0.470 3 4 4.35
+ 9 Petal.Length virginica 0 1 5.55 0.552 4.5 5.1 5.55
+ 10 Petal.Width setosa 0 1 0.246 0.105 0.1 0.2 0.2
+ 11 Petal.Width versicolor 0 1 1.33 0.198 1 1.2 1.3
+ 12 Petal.Width virginica 0 1 2.03 0.275 1.4 1.8 2
+ p75 p100 hist
+ 1 5.2 5.8 ▃▃▇▅▁
+ 2 6.3 7 ▂▇▆▃▃
+ 3 6.9 7.9 ▁▃▇▃▂
+ 4 3.68 4.4 ▁▃▇▅▂
+ 5 3 3.4 ▁▅▆▇▂
+ 6 3.18 3.8 ▂▆▇▅▁
+ 7 1.58 1.9 ▁▃▇▃▁
+ 8 4.6 5.1 ▂▂▇▇▆
+ 9 5.88 6.9 ▃▇▇▃▂
+ 10 0.3 0.6 ▇▂▂▁▁
+ 11 1.5 1.8 ▅▇▃▆▁
+ 12 2.3 2.5 ▂▇▆▅▇
+
+# Skim lists print as expected
+
+ Code
+ partition(skimmed)
+ Output
+ $factor
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique top_counts
+ 1 Species 0 1 FALSE 3 set: 50, ver: 50, vir:~
+
+ $numeric
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+
+
+# knit_print produces expected results
+
+ Code
+ cat(input)
+ Output
+
+ Table: Data summary
+
+ | | |
+ |:------------------------|:----|
+ |Name |iris |
+ |Number of rows |150 |
+ |Number of columns |5 |
+ |_______________________ | |
+ |Column type frequency: | |
+ |factor |1 |
+ |numeric |4 |
+ |________________________ | |
+ |Group variables |None |
+
+
+ **Variable type: factor**
+
+ |skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
+ |:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
+ |Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
+
+
+ **Variable type: numeric**
+
+ |skim_variable | n_missing| complete_rate| mean| sd| p0| p25| p50| p75| p100|hist |
+ |:-------------|---------:|-------------:|----:|----:|---:|---:|----:|---:|----:|:-----|
+ |Sepal.Length | 0| 1| 5.84| 0.83| 4.3| 5.1| 5.80| 6.4| 7.9|▆▇▇▅▂ |
+ |Sepal.Width | 0| 1| 3.06| 0.44| 2.0| 2.8| 3.00| 3.3| 4.4|▁▆▇▂▁ |
+ |Petal.Length | 0| 1| 3.76| 1.77| 1.0| 1.6| 4.35| 5.1| 6.9|▇▁▆▇▂ |
+ |Petal.Width | 0| 1| 1.20| 0.76| 0.1| 0.3| 1.30| 1.8| 2.5|▇▁▇▅▃ |
+
+
+# knit_print works with skim summaries
+
+ Code
+ cat(knitr::knit_print(summarized))
+ Output
+ Table: Data summary
+
+ | | |
+ |:------------------------|:----|
+ |Name |iris |
+ |Number of rows |150 |
+ |Number of columns |5 |
+ |_______________________ | |
+ |Column type frequency: | |
+ |factor |1 |
+ |numeric |4 |
+ |________________________ | |
+ |Group variables |None |
+
+# knit_print appropriately falls back to tibble printing
+
+ Code
+ input <- knitr::knit_print(reduced)
+ Output
+ # A tibble: 5 x 2
+ skim_variable numeric.mean
+
+ 1 Species NA
+ 2 Sepal.Length 5.84
+ 3 Sepal.Width 3.06
+ 4 Petal.Length 3.76
+ 5 Petal.Width 1.20
+
+# Summaries can be suppressed within knitr
+
+ Code
+ cat(knitr::knit_print(skimmed, options = options))
+ Output
+
+
+
+ **Variable type: factor**
+
+ |skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
+ |:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
+ |Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
+
+
+ **Variable type: numeric**
+
+ |skim_variable | n_missing| complete_rate| mean| sd| p0| p25| p50| p75| p100|hist |
+ |:-------------|---------:|-------------:|----:|----:|---:|---:|----:|---:|----:|:-----|
+ |Sepal.Length | 0| 1| 5.84| 0.83| 4.3| 5.1| 5.80| 6.4| 7.9|▆▇▇▅▂ |
+ |Sepal.Width | 0| 1| 3.06| 0.44| 2.0| 2.8| 3.00| 3.3| 4.4|▁▆▇▂▁ |
+ |Petal.Length | 0| 1| 3.76| 1.77| 1.0| 1.6| 4.35| 5.1| 6.9|▇▁▆▇▂ |
+ |Petal.Width | 0| 1| 1.20| 0.76| 0.1| 0.3| 1.30| 1.8| 2.5|▇▁▇▅▃ |
+
+
+# Skim lists have a separate knit_print method
+
+ Code
+ cat(knit_print(skim_list))
+ Output
+
+
+
+ **Variable type: factor**
+
+ |skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
+ |:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
+ |Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
+
+
+ **Variable type: numeric**
+
+ |skim_variable | n_missing| complete_rate| mean| sd| p0| p25| p50| p75| p100|hist |
+ |:-------------|---------:|-------------:|----:|----:|---:|---:|----:|---:|----:|:-----|
+ |Sepal.Length | 0| 1| 5.84| 0.83| 4.3| 5.1| 5.80| 6.4| 7.9|▆▇▇▅▂ |
+ |Sepal.Width | 0| 1| 3.06| 0.44| 2.0| 2.8| 3.00| 3.3| 4.4|▁▆▇▂▁ |
+ |Petal.Length | 0| 1| 3.76| 1.77| 1.0| 1.6| 4.35| 5.1| 6.9|▇▁▆▇▂ |
+ |Petal.Width | 0| 1| 1.20| 0.76| 0.1| 0.3| 1.30| 1.8| 2.5|▇▁▇▅▃ |
+
+
+# You can yank a type from a skim_df and call knit_print
+
+ Code
+ cat(knit_print(skim_one))
+ Output
+
+
+ **Variable type: factor**
+
+ |skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
+ |:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
+ |Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
+
+
+
+# Skim falls back to tibble::print.tbl() appropriately
+
+ Code
+ input <- skim(iris)
+ dplyr::select(input, numeric.mean)
+ Output
+ # A tibble: 5 x 1
+ numeric.mean
+
+ 1 NA
+ 2 5.84
+ 3 3.06
+ 4 3.76
+ 5 1.20
+
+# Print focused objects appropriately
+
+ Code
+ focus(skimmed, n_missing)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing
+ 1 Species 0
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing
+ 1 Sepal.Length 0
+ 2 Sepal.Width 0
+ 3 Petal.Length 0
+ 4 Petal.Width 0
+
+# Support for smaller consoles can be set with the width option
+
+ Code
+ skim(iris)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+
+# Table header width can be controlled by an option
+
+ Code
+ skimmed
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+
+# skimr creates appropriate output for Jupyter
+
+ Code
+ skimmed
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+ 3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
+ 4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
+
diff --git a/tests/testthat/_snaps/skim_tee.md b/tests/testthat/_snaps/skim_tee.md
new file mode 100644
index 00000000..99b320ad
--- /dev/null
+++ b/tests/testthat/_snaps/skim_tee.md
@@ -0,0 +1,96 @@
+# Using skim_tee prints returns the object
+
+ Code
+ skim_object <- skim_tee(chickwts)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name data
+ Number of rows 71
+ Number of columns 2
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 1
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 feed 0 1 FALSE 6
+ top_counts
+ 1 soy: 14, cas: 12, lin: 12, sun: 12
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 weight 0 1 261. 78.1 108 204. 258 324. 423 ▆▆▇▇▃
+
+# skim_tee prints only selected columns, but returns full object
+
+ Code
+ obj <- skim_tee(iris, Species)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name data
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ ________________________
+ Group variables None
+
+ -- Variable type: factor -------------------------------------------------------
+ skim_variable n_missing complete_rate ordered n_unique
+ 1 Species 0 1 FALSE 3
+ top_counts
+ 1 set: 50, ver: 50, vir: 50
+
+# skim_tee supports dplyr helpers
+
+ Code
+ obj <- skim_tee(iris, starts_with("Sepal"))
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name data
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ numeric 2
+ ________________________
+ Group variables None
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
+ 1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
+ 2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
+
+# Skim_tee works with groups
+
+ Code
+ obj <- skim_tee(iris_grouped, Sepal.Length, skim_fun = my_skim)
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name data
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ numeric 1
+ ________________________
+ Group variables Species
+
+ -- Variable type: numeric ------------------------------------------------------
+ skim_variable Species n_missing complete_rate mean sd p0 p25 p50 p75
+ 1 Sepal.Length setosa 0 1 5.01 0.352 4.3 4.8 5 5.2
+ 2 Sepal.Length versicolor 0 1 5.94 0.516 4.9 5.6 5.9 6.3
+ 3 Sepal.Length virginica 0 1 6.59 0.636 4.9 6.22 6.5 6.9
+ p100
+ 1 5.8
+ 2 7
+ 3 7.9
+
diff --git a/tests/testthat/_snaps/summary.md b/tests/testthat/_snaps/summary.md
new file mode 100644
index 00000000..b5ccdcf6
--- /dev/null
+++ b/tests/testthat/_snaps/summary.md
@@ -0,0 +1,34 @@
+# The summary print method prints the correct object
+
+ Code
+ skim_summary_input
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name iris
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
+# The summary print method prints the correct object when piped
+
+ Code
+ summary_input
+ Output
+ -- Data Summary ------------------------
+ Values
+ Name Piped data
+ Number of rows 150
+ Number of columns 5
+ _______________________
+ Column type frequency:
+ factor 1
+ numeric 4
+ ________________________
+ Group variables None
+
diff --git a/tests/testthat/data.table/summary_DF_factors.txt b/tests/testthat/data.table/summary_DF_factors.txt
deleted file mode 100644
index a949786f..00000000
--- a/tests/testthat/data.table/summary_DF_factors.txt
+++ /dev/null
@@ -1,24 +0,0 @@
--- Data Summary ------------------------
- Values
-Name DF_factors
-Number of rows 26
-Number of columns 3
-_______________________
-Column type frequency:
- character 1
- factor 1
- numeric 1
-________________________
-Group variables None
-
--- Variable type: character ------------------------------------------------------------------------
- skim_variable n_missing complete_rate min max empty n_unique whitespace
-1 abc 0 1 1 1 0 26 0
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 grps 0 1 FALSE 2 AA: 18, BB: 8
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
diff --git a/tests/testthat/data.table/summary_DT_factors.txt b/tests/testthat/data.table/summary_DT_factors.txt
deleted file mode 100644
index 016d107b..00000000
--- a/tests/testthat/data.table/summary_DT_factors.txt
+++ /dev/null
@@ -1,25 +0,0 @@
--- Data Summary ------------------------
- Values
-Name DT_factors
-Number of rows 26
-Number of columns 3
-Key abc, grps
-_______________________
-Column type frequency:
- character 1
- factor 1
- numeric 1
-________________________
-Group variables None
-
--- Variable type: character ------------------------------------------------------------------------
- skim_variable n_missing complete_rate min max empty n_unique whitespace
-1 abc 0 1 1 1 0 26 0
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 grps 0 1 FALSE 2 AA: 18, BB: 8
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
diff --git a/tests/testthat/data.table/summary_DT_factors_no_key.txt b/tests/testthat/data.table/summary_DT_factors_no_key.txt
deleted file mode 100644
index a9f68584..00000000
--- a/tests/testthat/data.table/summary_DT_factors_no_key.txt
+++ /dev/null
@@ -1,25 +0,0 @@
--- Data Summary ------------------------
- Values
-Name DT_factors
-Number of rows 26
-Number of columns 3
-Key NULL
-_______________________
-Column type frequency:
- character 1
- factor 1
- numeric 1
-________________________
-Group variables None
-
--- Variable type: character ------------------------------------------------------------------------
- skim_variable n_missing complete_rate min max empty n_unique whitespace
-1 abc 0 1 1 1 0 26 0
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 grps 0 1 FALSE 2 AA: 18, BB: 8
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
diff --git a/tests/testthat/data.table/summary_DT_letters.txt b/tests/testthat/data.table/summary_DT_letters.txt
deleted file mode 100644
index 94461766..00000000
--- a/tests/testthat/data.table/summary_DT_letters.txt
+++ /dev/null
@@ -1,15 +0,0 @@
--- Data Summary ------------------------
- Values
-Name DT_letters
-Number of rows 26
-Number of columns 1
-Key NULL
-_______________________
-Column type frequency:
- character 1
-________________________
-Group variables None
-
--- Variable type: character ------------------------------------------------------------------------
- skim_variable n_missing complete_rate min max empty n_unique whitespace
-1 abc 0 1 1 1 0 26 0
diff --git a/tests/testthat/data.table/summary_tibble_factors.txt b/tests/testthat/data.table/summary_tibble_factors.txt
deleted file mode 100644
index 91d8d1fc..00000000
--- a/tests/testthat/data.table/summary_tibble_factors.txt
+++ /dev/null
@@ -1,24 +0,0 @@
--- Data Summary ------------------------
- Values
-Name tibble_factors
-Number of rows 26
-Number of columns 3
-_______________________
-Column type frequency:
- character 1
- factor 1
- numeric 1
-________________________
-Group variables None
-
--- Variable type: character ------------------------------------------------------------------------
- skim_variable n_missing complete_rate min max empty n_unique whitespace
-1 abc 0 1 1 1 0 26 0
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 grps 0 1 FALSE 2 AA: 18, BB: 8
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 values 0 1 0.0121 0.937 -2.21 -0.335 -0.0306 0.742 1.36 ▂▂▃▇▆
diff --git a/tests/testthat/dplyr/arrange.txt b/tests/testthat/dplyr/arrange.txt
deleted file mode 100644
index 542a5552..00000000
--- a/tests/testthat/dplyr/arrange.txt
+++ /dev/null
@@ -1,22 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 Species 0 1 FALSE 3 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
-3 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/dplyr/filter-no-skim.txt b/tests/testthat/dplyr/filter-no-skim.txt
deleted file mode 100644
index dce473a4..00000000
--- a/tests/testthat/dplyr/filter-no-skim.txt
+++ /dev/null
@@ -1,5 +0,0 @@
-# A tibble: 0 x 15
-# i 15 variables: skim_type , skim_variable , n_missing , complete_rate ,
-# factor.ordered , factor.n_unique , factor.top_counts , numeric.mean ,
-# numeric.sd , numeric.p0 , numeric.p25 , numeric.p50 , numeric.p75 ,
-# numeric.p100 , numeric.hist
diff --git a/tests/testthat/dplyr/filter-skim.txt b/tests/testthat/dplyr/filter-skim.txt
deleted file mode 100644
index 66ccfcf1..00000000
--- a/tests/testthat/dplyr/filter-skim.txt
+++ /dev/null
@@ -1,17 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- numeric 4
-________________________
-Group variables None
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/dplyr/mutate-skim.txt b/tests/testthat/dplyr/mutate-skim.txt
deleted file mode 100644
index b8b34668..00000000
--- a/tests/testthat/dplyr/mutate-skim.txt
+++ /dev/null
@@ -1,22 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 Species 0 1 FALSE 3 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist mean2
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂ 34.1
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁ 9.35
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂ 14.1
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃ 1.44
diff --git a/tests/testthat/dplyr/select-no-skim.txt b/tests/testthat/dplyr/select-no-skim.txt
deleted file mode 100644
index 899ce1b4..00000000
--- a/tests/testthat/dplyr/select-no-skim.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-# A tibble: 5 x 1
- numeric.mean
-
-1 NA
-2 5.84
-3 3.06
-4 3.76
-5 1.20
diff --git a/tests/testthat/dplyr/select-skim.txt b/tests/testthat/dplyr/select-skim.txt
deleted file mode 100644
index 6431bf6f..00000000
--- a/tests/testthat/dplyr/select-skim.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-# A tibble: 5 x 2
- skim_type skim_variable
-
-1 factor Species
-2 numeric Sepal.Length
-3 numeric Sepal.Width
-4 numeric Petal.Length
-5 numeric Petal.Width
diff --git a/tests/testthat/dplyr/slice.txt b/tests/testthat/dplyr/slice.txt
deleted file mode 100644
index 298a3bd8..00000000
--- a/tests/testthat/dplyr/slice.txt
+++ /dev/null
@@ -1,20 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 2
-________________________
-Group variables None
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 Species 0 1 FALSE 3 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
diff --git a/tests/testthat/helper-expectations.R b/tests/testthat/helper-expectations.R
index 3e2fb690..29ace079 100644
--- a/tests/testthat/helper-expectations.R
+++ b/tests/testthat/helper-expectations.R
@@ -27,71 +27,3 @@ expect_NA <- function(object) {
testthat::expect(is.na(act$val), sprintf("%s is not NA", act$lab))
invisible(act$val)
}
-
-expect_print_matches_file <- function(object,
- filename,
- skip_on_cran = getOption(
- "skimr_skip_on_cran",
- TRUE
- ),
- width = 100,
- update = getOption(
- "skimr_update_print",
- FALSE
- ),
- skimr_table_header_width = NULL,
- ...) {
- if (skip_on_cran) testthat::skip_on_cran()
- withr::with_options(list(
- crayon.enabled = FALSE,
- width = width,
- skimr_table_header_width = skimr_table_header_width
- ), {
- testthat::expect_known_output(
- print(object, ...),
- filename,
- update = update,
- width = width
- )
- })
-}
-
-expect_matches_file <- function(object,
- file,
- update = getOption(
- "skimr_update_print",
- FALSE
- ),
- skip_on_cran = getOption(
- "skimr_skip_on_cran",
- TRUE
- ),
- width = 100,
- ...) {
- if (skip_on_cran) testthat::skip_on_cran()
- withr::local_options(list(crayon.enabled = FALSE, width = width))
- act <- testthat::quasi_label(rlang::enquo(object), NULL)
-
- if (!file.exists(file)) {
- warning("Creating reference value", call. = FALSE)
- writeLines(object, file)
- testthat::succeed()
- } else {
- ref_val <- paste0(readLines(file), collapse = "\n")
- comp <- testthat::compare(as.character(act$val), ref_val, ...)
- if (update && !comp$equal) {
- writeLines(act$val, file)
- }
-
- testthat::expect(
- comp$equal,
- sprintf(
- "%s has changed from known value recorded in %s.\n%s",
- act$lab, encodeString(file, quote = "'"), comp$message
- ),
- info = NULL
- )
- }
-
- invisible(act$value)
-}
diff --git a/tests/testthat/print/default.txt b/tests/testthat/print/default.txt
deleted file mode 100644
index bd422226..00000000
--- a/tests/testthat/print/default.txt
+++ /dev/null
@@ -1,22 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 Species 0 1 FALSE 3 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/print/fallback.txt b/tests/testthat/print/fallback.txt
deleted file mode 100644
index 899ce1b4..00000000
--- a/tests/testthat/print/fallback.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-# A tibble: 5 x 1
- numeric.mean
-
-1 NA
-2 5.84
-3 3.06
-4 3.76
-5 1.20
diff --git a/tests/testthat/print/focus.txt b/tests/testthat/print/focus.txt
deleted file mode 100644
index 8ea62b92..00000000
--- a/tests/testthat/print/focus.txt
+++ /dev/null
@@ -1,22 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing
-1 Species 0
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing
-1 Sepal.Length 0
-2 Sepal.Width 0
-3 Petal.Length 0
-4 Petal.Width 0
diff --git a/tests/testthat/print/groups.txt b/tests/testthat/print/groups.txt
deleted file mode 100644
index daec8fd2..00000000
--- a/tests/testthat/print/groups.txt
+++ /dev/null
@@ -1,25 +0,0 @@
--- Data Summary ------------------------
- Values
-Name dplyr::group_by(iris, Spe...
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- numeric 4
-________________________
-Group variables Species
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable Species n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
- 1 Sepal.Length setosa 0 1 5.01 0.352 4.3 4.8 5 5.2 5.8 ▃▃▇▅▁
- 2 Sepal.Length versicolor 0 1 5.94 0.516 4.9 5.6 5.9 6.3 7 ▂▇▆▃▃
- 3 Sepal.Length virginica 0 1 6.59 0.636 4.9 6.22 6.5 6.9 7.9 ▁▃▇▃▂
- 4 Sepal.Width setosa 0 1 3.43 0.379 2.3 3.2 3.4 3.68 4.4 ▁▃▇▅▂
- 5 Sepal.Width versicolor 0 1 2.77 0.314 2 2.52 2.8 3 3.4 ▁▅▆▇▂
- 6 Sepal.Width virginica 0 1 2.97 0.322 2.2 2.8 3 3.18 3.8 ▂▆▇▅▁
- 7 Petal.Length setosa 0 1 1.46 0.174 1 1.4 1.5 1.58 1.9 ▁▃▇▃▁
- 8 Petal.Length versicolor 0 1 4.26 0.470 3 4 4.35 4.6 5.1 ▂▂▇▇▆
- 9 Petal.Length virginica 0 1 5.55 0.552 4.5 5.1 5.55 5.88 6.9 ▃▇▇▃▂
-10 Petal.Width setosa 0 1 0.246 0.105 0.1 0.2 0.2 0.3 0.6 ▇▂▂▁▁
-11 Petal.Width versicolor 0 1 1.33 0.198 1 1.2 1.3 1.5 1.8 ▅▇▃▆▁
-12 Petal.Width virginica 0 1 2.03 0.275 1.4 1.8 2 2.3 2.5 ▂▇▆▅▇
diff --git a/tests/testthat/print/knit_print-fallback.txt b/tests/testthat/print/knit_print-fallback.txt
deleted file mode 100644
index 718b29e4..00000000
--- a/tests/testthat/print/knit_print-fallback.txt
+++ /dev/null
@@ -1,8 +0,0 @@
-# A tibble: 5 x 2
- skim_variable numeric.mean
-
-1 Species NA
-2 Sepal.Length 5.84
-3 Sepal.Width 3.06
-4 Petal.Length 3.76
-5 Petal.Width 1.20
diff --git a/tests/testthat/print/knit_print-skim_list.txt b/tests/testthat/print/knit_print-skim_list.txt
deleted file mode 100644
index ec206092..00000000
--- a/tests/testthat/print/knit_print-skim_list.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-
-
-
-**Variable type: factor**
-
-|skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
-|:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
-|Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
-
-
-**Variable type: numeric**
-
-|skim_variable | n_missing| complete_rate| mean| sd| p0| p25| p50| p75| p100|hist |
-|:-------------|---------:|-------------:|----:|----:|---:|---:|----:|---:|----:|:-----|
-|Sepal.Length | 0| 1| 5.84| 0.83| 4.3| 5.1| 5.80| 6.4| 7.9|▆▇▇▅▂ |
-|Sepal.Width | 0| 1| 3.06| 0.44| 2.0| 2.8| 3.00| 3.3| 4.4|▁▆▇▂▁ |
-|Petal.Length | 0| 1| 3.76| 1.77| 1.0| 1.6| 4.35| 5.1| 6.9|▇▁▆▇▂ |
-|Petal.Width | 0| 1| 1.20| 0.76| 0.1| 0.3| 1.30| 1.8| 2.5|▇▁▇▅▃ |
-
-
diff --git a/tests/testthat/print/knit_print-summary.txt b/tests/testthat/print/knit_print-summary.txt
deleted file mode 100644
index b86b9271..00000000
--- a/tests/testthat/print/knit_print-summary.txt
+++ /dev/null
@@ -1,13 +0,0 @@
-Table: Data summary
-
-| | |
-|:------------------------|:----|
-|Name |iris |
-|Number of rows |150 |
-|Number of columns |5 |
-|_______________________ | |
-|Column type frequency: | |
-|factor |1 |
-|numeric |4 |
-|________________________ | |
-|Group variables |None |
diff --git a/tests/testthat/print/knit_print-suppressed.txt b/tests/testthat/print/knit_print-suppressed.txt
deleted file mode 100644
index ec206092..00000000
--- a/tests/testthat/print/knit_print-suppressed.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-
-
-
-**Variable type: factor**
-
-|skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
-|:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
-|Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
-
-
-**Variable type: numeric**
-
-|skim_variable | n_missing| complete_rate| mean| sd| p0| p25| p50| p75| p100|hist |
-|:-------------|---------:|-------------:|----:|----:|---:|---:|----:|---:|----:|:-----|
-|Sepal.Length | 0| 1| 5.84| 0.83| 4.3| 5.1| 5.80| 6.4| 7.9|▆▇▇▅▂ |
-|Sepal.Width | 0| 1| 3.06| 0.44| 2.0| 2.8| 3.00| 3.3| 4.4|▁▆▇▂▁ |
-|Petal.Length | 0| 1| 3.76| 1.77| 1.0| 1.6| 4.35| 5.1| 6.9|▇▁▆▇▂ |
-|Petal.Width | 0| 1| 1.20| 0.76| 0.1| 0.3| 1.30| 1.8| 2.5|▇▁▇▅▃ |
-
-
diff --git a/tests/testthat/print/knit_print-yank.txt b/tests/testthat/print/knit_print-yank.txt
deleted file mode 100644
index 813d3fe4..00000000
--- a/tests/testthat/print/knit_print-yank.txt
+++ /dev/null
@@ -1,10 +0,0 @@
-
-
-**Variable type: factor**
-
-|skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
-|:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
-|Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
-
-
-
diff --git a/tests/testthat/print/knit_print.txt b/tests/testthat/print/knit_print.txt
deleted file mode 100644
index 41f38251..00000000
--- a/tests/testthat/print/knit_print.txt
+++ /dev/null
@@ -1,33 +0,0 @@
-
-Table: Data summary
-
-| | |
-|:------------------------|:----|
-|Name |iris |
-|Number of rows |150 |
-|Number of columns |5 |
-|_______________________ | |
-|Column type frequency: | |
-|factor |1 |
-|numeric |4 |
-|________________________ | |
-|Group variables |None |
-
-
-**Variable type: factor**
-
-|skim_variable | n_missing| complete_rate|ordered | n_unique|top_counts |
-|:-------------|---------:|-------------:|:-------|--------:|:-------------------------|
-|Species | 0| 1|FALSE | 3|set: 50, ver: 50, vir: 50 |
-
-
-**Variable type: numeric**
-
-|skim_variable | n_missing| complete_rate| mean| sd| p0| p25| p50| p75| p100|hist |
-|:-------------|---------:|-------------:|----:|----:|---:|---:|----:|---:|----:|:-----|
-|Sepal.Length | 0| 1| 5.84| 0.83| 4.3| 5.1| 5.80| 6.4| 7.9|▆▇▇▅▂ |
-|Sepal.Width | 0| 1| 3.06| 0.44| 2.0| 2.8| 3.00| 3.3| 4.4|▁▆▇▂▁ |
-|Petal.Length | 0| 1| 3.76| 1.77| 1.0| 1.6| 4.35| 5.1| 6.9|▇▁▆▇▂ |
-|Petal.Width | 0| 1| 1.20| 0.76| 0.1| 0.3| 1.30| 1.8| 2.5|▇▁▇▅▃ |
-
-
diff --git a/tests/testthat/print/list.txt b/tests/testthat/print/list.txt
deleted file mode 100644
index f30eae92..00000000
--- a/tests/testthat/print/list.txt
+++ /dev/null
@@ -1,15 +0,0 @@
-$factor
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 Species 0 1 FALSE 3 set: 50, ver: 50, vir: 50
-
-$numeric
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
-
diff --git a/tests/testthat/print/narrow-header.txt b/tests/testthat/print/narrow-header.txt
deleted file mode 100644
index a44a715b..00000000
--- a/tests/testthat/print/narrow-header.txt
+++ /dev/null
@@ -1,22 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor -------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 Species 0 1 FALSE 3 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric ------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/print/no-hist.txt b/tests/testthat/print/no-hist.txt
deleted file mode 100644
index e78eceb4..00000000
--- a/tests/testthat/print/no-hist.txt
+++ /dev/null
@@ -1,22 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor ---------------------------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique top_counts
-1 Species 0 1 FALSE 3 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric --------------------------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5
diff --git a/tests/testthat/print/repr.txt b/tests/testthat/print/repr.txt
deleted file mode 100644
index d5960f2c..00000000
--- a/tests/testthat/print/repr.txt
+++ /dev/null
@@ -1,24 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor -------------------------------------------------------
- skim_variable n_missing complete_rate ordered n_unique
-1 Species 0 1 FALSE 3
- top_counts
-1 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric ------------------------------------------------------
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/print/smaller.txt b/tests/testthat/print/smaller.txt
deleted file mode 100644
index 633580d8..00000000
--- a/tests/testthat/print/smaller.txt
+++ /dev/null
@@ -1,29 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor -------------------------
- skim_variable n_missing complete_rate ordered
-1 Species 0 1 FALSE
- n_unique top_counts
-1 3 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric ------------------------
- skim_variable n_missing complete_rate mean sd
-1 Sepal.Length 0 1 5.84 0.828
-2 Sepal.Width 0 1 3.06 0.436
-3 Petal.Length 0 1 3.76 1.77
-4 Petal.Width 0 1 1.20 0.762
- p0 p25 p50 p75 p100 hist
-1 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 2 2.8 3 3.3 4.4 ▁▆▇▂▁
-3 1 1.6 4.35 5.1 6.9 ▇▁▆▇▂
-4 0.1 0.3 1.3 1.8 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/print/strip-opt.txt b/tests/testthat/print/strip-opt.txt
deleted file mode 100644
index 214bec43..00000000
--- a/tests/testthat/print/strip-opt.txt
+++ /dev/null
@@ -1,35 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor -------------------------------------------------------
-# A tibble: 1 x 6
- skim_variable n_missing complete_rate ordered n_unique
-*
-1 Species 0 1 FALSE 3
- top_counts
-*
-1 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric ------------------------------------------------------
-# A tibble: 4 x 11
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75
-*
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8
- p100 hist
-*
-1 7.9 ▆▇▇▅▂
-2 4.4 ▁▆▇▂▁
-3 6.9 ▇▁▆▇▂
-4 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/print/strip.txt b/tests/testthat/print/strip.txt
deleted file mode 100644
index 214bec43..00000000
--- a/tests/testthat/print/strip.txt
+++ /dev/null
@@ -1,35 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
-
--- Variable type: factor -------------------------------------------------------
-# A tibble: 1 x 6
- skim_variable n_missing complete_rate ordered n_unique
-*
-1 Species 0 1 FALSE 3
- top_counts
-*
-1 set: 50, ver: 50, vir: 50
-
--- Variable type: numeric ------------------------------------------------------
-# A tibble: 4 x 11
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75
-*
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3
-3 Petal.Length 0 1 3.76 1.77 1 1.6 4.35 5.1
-4 Petal.Width 0 1 1.20 0.762 0.1 0.3 1.3 1.8
- p100 hist
-*
-1 7.9 ▆▇▇▅▂
-2 4.4 ▁▆▇▂▁
-3 6.9 ▇▁▆▇▂
-4 2.5 ▇▁▇▅▃
diff --git a/tests/testthat/skim_tee/grouped.txt b/tests/testthat/skim_tee/grouped.txt
deleted file mode 100644
index 13bb600e..00000000
--- a/tests/testthat/skim_tee/grouped.txt
+++ /dev/null
@@ -1,20 +0,0 @@
-── Data Summary ────────────────────────
- Values
-Name data
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- numeric 1
-________________________
-Group variables Species
-
-── Variable type: numeric ──────────────────────────────────────────────────────
- skim_variable Species n_missing complete_rate mean sd p0 p25 p50 p75
-1 Sepal.Length setosa 0 1 5.01 0.352 4.3 4.8 5 5.2
-2 Sepal.Length versicolor 0 1 5.94 0.516 4.9 5.6 5.9 6.3
-3 Sepal.Length virginica 0 1 6.59 0.636 4.9 6.22 6.5 6.9
- p100
-1 5.8
-2 7
-3 7.9
diff --git a/tests/testthat/skim_tee/sepal.txt b/tests/testthat/skim_tee/sepal.txt
deleted file mode 100644
index 162011cc..00000000
--- a/tests/testthat/skim_tee/sepal.txt
+++ /dev/null
@@ -1,15 +0,0 @@
-── Data Summary ────────────────────────
- Values
-Name data
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- numeric 2
-________________________
-Group variables None
-
-── Variable type: numeric ──────────────────────────────────────────────────────
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 Sepal.Length 0 1 5.84 0.828 4.3 5.1 5.8 6.4 7.9 ▆▇▇▅▂
-2 Sepal.Width 0 1 3.06 0.436 2 2.8 3 3.3 4.4 ▁▆▇▂▁
diff --git a/tests/testthat/skim_tee/skim_tee.txt b/tests/testthat/skim_tee/skim_tee.txt
deleted file mode 100644
index 7fac0954..00000000
--- a/tests/testthat/skim_tee/skim_tee.txt
+++ /dev/null
@@ -1,21 +0,0 @@
-── Data Summary ────────────────────────
- Values
-Name data
-Number of rows 71
-Number of columns 2
-_______________________
-Column type frequency:
- factor 1
- numeric 1
-________________________
-Group variables None
-
-── Variable type: factor ───────────────────────────────────────────────────────
- skim_variable n_missing complete_rate ordered n_unique
-1 feed 0 1 FALSE 6
- top_counts
-1 soy: 14, cas: 12, lin: 12, sun: 12
-
-── Variable type: numeric ──────────────────────────────────────────────────────
- skim_variable n_missing complete_rate mean sd p0 p25 p50 p75 p100 hist
-1 weight 0 1 261. 78.1 108 204. 258 324. 423 ▆▆▇▇▃
diff --git a/tests/testthat/skim_tee/species.txt b/tests/testthat/skim_tee/species.txt
deleted file mode 100644
index d4fb495b..00000000
--- a/tests/testthat/skim_tee/species.txt
+++ /dev/null
@@ -1,16 +0,0 @@
-── Data Summary ────────────────────────
- Values
-Name data
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
-________________________
-Group variables None
-
-── Variable type: factor ───────────────────────────────────────────────────────
- skim_variable n_missing complete_rate ordered n_unique
-1 Species 0 1 FALSE 3
- top_counts
-1 set: 50, ver: 50, vir: 50
diff --git a/tests/testthat/summary/summary_iris.txt b/tests/testthat/summary/summary_iris.txt
deleted file mode 100644
index 8afb95b8..00000000
--- a/tests/testthat/summary/summary_iris.txt
+++ /dev/null
@@ -1,11 +0,0 @@
--- Data Summary ------------------------
- Values
-Name iris
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
diff --git a/tests/testthat/summary/summary_iris_piped.txt b/tests/testthat/summary/summary_iris_piped.txt
deleted file mode 100644
index 706c5847..00000000
--- a/tests/testthat/summary/summary_iris_piped.txt
+++ /dev/null
@@ -1,11 +0,0 @@
--- Data Summary ------------------------
- Values
-Name Piped data
-Number of rows 150
-Number of columns 5
-_______________________
-Column type frequency:
- factor 1
- numeric 4
-________________________
-Group variables None
diff --git a/tests/testthat/test-data.table.R b/tests/testthat/test-data-table.R
similarity index 67%
rename from tests/testthat/test-data.table.R
rename to tests/testthat/test-data-table.R
index 71672fed..aacdc5da 100644
--- a/tests/testthat/test-data.table.R
+++ b/tests/testthat/test-data-table.R
@@ -3,7 +3,7 @@ test_that("skim of a simple data.table produces no warnings", {
skip_if_not_installed("data.table")
withr::local_options(list(width = 91))
DT_letters <- data.table::data.table(abc = letters)
- expect_warning(skim(DT_letters), NA)
+ expect_no_warning(skim(DT_letters))
})
test_that("skim of a simple data.table produces no warnings even with dtplyr", {
@@ -11,7 +11,7 @@ test_that("skim of a simple data.table produces no warnings even with dtplyr", {
skip_if_not_installed("dtplyr")
withr::local_options(list(width = 91))
DT_letters <- data.table::data.table(abc = letters)
- expect_warning(skim(DT_letters), NA)
+ expect_no_warning(skim(DT_letters))
})
test_that("skim of a simple data.table produces output as expected", {
@@ -20,10 +20,7 @@ test_that("skim of a simple data.table produces output as expected", {
skimmed_DT_letters <- skim(DT_letters)
withr::local_options(list(cli.unicode = FALSE, width = 91))
- expect_print_matches_file(
- skimmed_DT_letters,
- "data.table/summary_DT_letters.txt"
- )
+ expect_snapshot(skimmed_DT_letters)
})
@@ -38,27 +35,14 @@ test_that("skim of data.table produces output as expected", {
)
withr::local_options(list(cli.unicode = FALSE, width = 91))
-
- expect_print_matches_file(
- skim(DT_factors),
- "data.table/summary_DT_factors_no_key.txt"
- )
+ expect_snapshot(skim(DT_factors))
data.table::setkeyv(DT_factors, c("abc", "grps"))
- expect_print_matches_file(
- skim(DT_factors),
- "data.table/summary_DT_factors.txt"
- )
+ expect_snapshot(skim(DT_factors))
DF_factors <- as.data.frame(DT_factors)
- expect_print_matches_file(
- skim(DF_factors),
- "data.table/summary_DF_factors.txt"
- )
+ expect_snapshot(skim(DF_factors))
tibble_factors <- tibble::as_tibble(DT_factors)
- expect_print_matches_file(
- skim(tibble_factors),
- "data.table/summary_tibble_factors.txt"
- )
+ expect_snapshot(skim(tibble_factors))
})
diff --git a/tests/testthat/test-dplyr.R b/tests/testthat/test-dplyr.R
index c069cf31..34f9620f 100644
--- a/tests/testthat/test-dplyr.R
+++ b/tests/testthat/test-dplyr.R
@@ -3,28 +3,27 @@ skimmed_iris <- skim(iris)
test_that("dplyr::filter works as expected", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
- input <- dplyr::filter(skimmed_iris, skim_type == "numeric")
- expect_print_matches_file(input, "dplyr/filter-skim.txt")
- no_rows <- dplyr::filter(skimmed_iris, skim_type == "no_type")
- expect_print_matches_file(no_rows, "dplyr/filter-no-skim.txt")
+ expect_snapshot({
+ dplyr::filter(skimmed_iris, skim_type == "numeric")
+ # no rows
+ dplyr::filter(skimmed_iris, skim_type == "no_type")
+ })
})
test_that("dplyr::select works as expected", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
with_type <- dplyr::select(skimmed_iris, skim_type, skim_variable)
- expect_print_matches_file(with_type, "dplyr/select-skim.txt")
-
+ expect_snapshot(with_type)
without_type <- dplyr::select(skimmed_iris, numeric.mean)
- withr::local_options(list(cli.unicode = FALSE))
- expect_print_matches_file(without_type, "dplyr/select-no-skim.txt")
+ expect_snapshot(without_type)
})
test_that("dplyr::mutate works as expected", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
input <- dplyr::mutate(skimmed_iris, mean2 = numeric.mean^2)
- expect_print_matches_file(input, "dplyr/mutate-skim.txt")
+ expect_snapshot(input)
no_variable <- dplyr::mutate(skimmed_iris, skim_variable = NULL)
identical(
@@ -37,12 +36,11 @@ test_that("dplyr::slice works as expected", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
input <- dplyr::slice(skimmed_iris, 1:3)
- expect_print_matches_file(input, "dplyr/slice.txt")
+ expect_snapshot(input)
})
test_that("dplyr::arrange works as expected", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
- input <- dplyr::arrange(skimmed_iris, desc(numeric.mean))
- expect_print_matches_file(input, "dplyr/arrange.txt")
+ expect_snapshot(dplyr::arrange(skimmed_iris, desc(numeric.mean)))
})
diff --git a/tests/testthat/test-reshape.R b/tests/testthat/test-reshape.R
index d8d9bdaa..7f5deab7 100644
--- a/tests/testthat/test-reshape.R
+++ b/tests/testthat/test-reshape.R
@@ -85,7 +85,7 @@ test_that("focus() matches select(data, skim_type, skim_variable, ...)", {
expected <- dplyr::select(
skimmed, skim_type, skim_variable, n_missing
)
- expect_equal(focus(skimmed, n_missing), expected, check.attributes = FALSE)
+ expect_equal(focus(skimmed, n_missing), expected, ignore_attr = "skimmers_used")
})
test_that("focus() does not allow dropping skim metadata columns", {
@@ -110,22 +110,22 @@ test_that("to_long() returns a long tidy data frame with 4 columns", {
names(skimmed_long),
c("skim_type", "skim_variable", "stat", "formatted")
)
- expect_equal(length(unique(skimmed_long$stat)), 13)
- expect_equal(length(unique(skimmed_long$skim_type)), 2)
- expect_equal(length(unique(skimmed_long$skim_variable)), 5)
+ expect_length(unique(skimmed_long$stat), 13)
+ expect_length(unique(skimmed_long$skim_type), 2)
+ expect_length(unique(skimmed_long$skim_variable), 5)
})
test_that("to_long() on a skim_df returns a long tidy df with 4 columns", {
skimmed_long <- to_long(skim(iris))
# Statistics from the skim_df with values of NA are not included
expect_n_rows(skimmed_long, 45)
- expect_equal(
- names(skimmed_long),
+ expect_named(
+ skimmed_long,
c("skim_type", "skim_variable", "stat", "formatted")
)
- expect_equal(length(unique(skimmed_long$stat)), 13)
- expect_equal(length(unique(skimmed_long$skim_type)), 2)
- expect_equal(length(unique(skimmed_long$skim_variable)), 5)
+ expect_length(unique(skimmed_long$stat), 13)
+ expect_length(unique(skimmed_long$skim_type), 2)
+ expect_length(unique(skimmed_long$skim_variable), 5)
})
test_that("to_long() on a df and a skim_df from same df are identical", {
diff --git a/tests/testthat/test-sfl.R b/tests/testthat/test-sfl.R
index 150c7348..8b5c06fe 100644
--- a/tests/testthat/test-sfl.R
+++ b/tests/testthat/test-sfl.R
@@ -22,7 +22,7 @@ test_that("The interface for sfl's separates keep and drop functions", {
test_that("sfl's support dummy names", {
input <- sfl(mean = ~ mean(., na.rm = TRUE), skim_type = "test")
funs <- input$funs
- expect_equal(funs$mean, rlang::quo(mean(., na.rm = TRUE)))
+ expect_equal(funs$mean, rlang::quo(mean(., na.rm = TRUE)), ignore_attr = "class")
})
test_that("sfl's automatically generate function names", {
diff --git a/tests/testthat/test-skim.R b/tests/testthat/test-skim.R
index 2277364e..21668b4f 100644
--- a/tests/testthat/test-skim.R
+++ b/tests/testthat/test-skim.R
@@ -6,10 +6,7 @@ test_that("skim returns expected response for numeric vectors", {
expect_n_columns(input, 12)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"numeric.mean", "numeric.sd", "numeric.p0", "numeric.p25",
@@ -196,10 +193,7 @@ test_that("skim returns expected response for character vectors", {
expect_n_columns(input, 9)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"character.min", "character.max", "character.empty",
@@ -237,10 +231,7 @@ test_that("skim returns expected response for logical vectors", {
expect_n_columns(input, 6)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"logical.mean", "logical.count"
@@ -287,10 +278,7 @@ test_that("skim returns expected response for complex vectors", {
expect_n_columns(input, 5)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(
input,
c(
@@ -317,7 +305,7 @@ test_that("skim returns expected response for complex vectors", {
})
test_that("skim returns expected response for Date vectors", {
- dat <- seq(as.Date("2011-07-01"), by = 1, len = 9)
+ dat <- seq(as.Date("2011-07-01"), by = 1, length.out = 9)
x <- tibble::tibble(dat)
input <- skim(x)
@@ -326,10 +314,7 @@ test_that("skim returns expected response for Date vectors", {
expect_n_columns(input, 8)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"Date.min", "Date.max", "Date.median", "Date.n_unique"
@@ -364,10 +349,7 @@ test_that("skim returns expected response for ts vectors", {
expect_n_columns(input, 14)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"ts.start", "ts.end", "ts.frequency", "ts.deltat", "ts.mean", "ts.sd",
@@ -397,7 +379,7 @@ test_that("skim returns expected response for ts vectors", {
expect_equal(input$ts.frequency, 4)
expect_equal(input$ts.deltat, 0.25)
expect_equal(input$ts.mean, 9.31, tolerance = 0.001)
- expect_equal(input$ts.sd, 0.316, tolerance = 0.001)
+ expect_equal(input$ts.sd, 0.316, tolerance = 0.01)
expect_equal(input$ts.min, 8.79, tolerance = 0.001)
expect_equal(input$ts.max, 9.79, tolerance = 0.001)
expect_equal(input$ts.median, 9.31, tolerance = 0.001)
@@ -405,7 +387,7 @@ test_that("skim returns expected response for ts vectors", {
})
test_that("skim returns expected response for POSIXct vectors", {
- dat <- seq(as.POSIXct("2011-07-01 00:00:00", tz = "UTC"), by = 1, len = 10)
+ dat <- seq(as.POSIXct("2011-07-01 00:00:00", tz = "UTC"), by = 1, length.out = 10)
dat[2] <- NA
posix <- tibble::tibble(dat)
input <- skim(posix)
@@ -415,10 +397,7 @@ test_that("skim returns expected response for POSIXct vectors", {
expect_n_columns(input, 8)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"POSIXct.min", "POSIXct.max", "POSIXct.median",
@@ -472,10 +451,7 @@ test_that("skim returns expected response for list (not AsIs) vectors", {
expect_n_columns(input, 7)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"list.n_unique", "list.min_length", "list.max_length"
@@ -511,10 +487,7 @@ test_that("skim returns expected response for list with all NA's", {
expect_n_columns(input, 7)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"list.n_unique", "list.min_length", "list.max_length"
@@ -550,10 +523,7 @@ test_that("skim returns expected response for asis vectors", {
expect_n_columns(input, 7)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"AsIs.n_unique", "AsIs.min_length", "AsIs.max_length"
@@ -591,10 +561,7 @@ test_that("skim returns expected response for difftime vectors", {
expect_n_columns(input, 8)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"difftime.min", "difftime.max", "difftime.median",
@@ -632,10 +599,7 @@ test_that("skim returns expected response for lubridate Timespan vectors", {
expect_n_columns(input, 8)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"Timespan.min", "Timespan.max", "Timespan.median",
@@ -673,10 +637,7 @@ test_that("skim handles objects containing haven_labelled vectors: double", {
expect_n_columns(input, 12)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"numeric.mean", "numeric.sd", "numeric.p0", "numeric.p25",
@@ -722,10 +683,7 @@ test_that("skim handles objects containing haven_labelled vectors: character", {
expect_n_columns(input, 9)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"character.min", "character.max", "character.empty",
@@ -755,7 +713,7 @@ test_that("skim handles objects containing haven_labelled vectors: character", {
})
test_that("skim handles objects with multiple classes", {
- dat <- seq(as.Date("2011-07-01"), by = 1, len = 10)
+ dat <- seq(as.Date("2011-07-01"), by = 1, length.out = 10)
dat[2] <- NA
class(dat) <- c("strange_type", "Date")
x <- tibble::tibble(dat)
@@ -766,10 +724,7 @@ test_that("skim handles objects with multiple classes", {
expect_n_columns(input, 8)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"Date.min", "Date.max", "Date.median", "Date.n_unique"
@@ -787,10 +742,7 @@ test_that("skim treats unknown classes as character", {
expect_warning(input <- skim(x))
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"character.min", "character.max", "character.empty",
@@ -819,10 +771,7 @@ test_that("skim handles objects with two unknown classes", {
expect_warning(input <- skim(x))
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"character.min", "character.max", "character.empty",
@@ -852,10 +801,7 @@ test_that("Skimming a complete data frame works as expected", {
expect_n_columns(input, 15)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "n_missing", "complete_rate",
"factor.ordered", "factor.n_unique", "factor.top_counts",
@@ -880,17 +826,14 @@ test_that("Skimming a complete data frame works as expected", {
test_that("successfully skim mixed data types with common skimmers", {
df <- data.frame(
- Date = seq(as.Date("2011-07-01"), by = 1, len = 10),
+ Date = seq(as.Date("2011-07-01"), by = 1, length.out = 10),
POSIXct = as.POSIXct("2011-07-01 00:00:00", tz = "UTC")
)
input <- skim(df)
expect_n_rows(input, 2)
expect_n_columns(input, 12)
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(
input,
c(
@@ -952,10 +895,7 @@ test_that("Skimming a grouped df with selections works as expected", {
expect_n_columns(input, 14)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "cyl", "gear", "n_missing",
"complete_rate", "numeric.mean", "numeric.sd", "numeric.p0",
@@ -983,10 +923,7 @@ test_that("Skimming a grouped df works when selecting exactly one variable", {
expect_n_columns(input, 14)
# classes
- expect_s3_class(input, "skim_df")
- expect_s3_class(input, "tbl_df")
- expect_s3_class(input, "tbl")
- expect_s3_class(input, "data.frame")
+ expect_s3_class(input, c("skim_df", "tbl_df", "tbl", "data.frame"))
expect_named(input, c(
"skim_type", "skim_variable", "cyl", "gear", "n_missing",
"complete_rate", "numeric.mean", "numeric.sd", "numeric.p0",
diff --git a/tests/testthat/test-skim_print.R b/tests/testthat/test-skim_print.R
index 28546759..64bc2ec5 100644
--- a/tests/testthat/test-skim_print.R
+++ b/tests/testthat/test-skim_print.R
@@ -1,26 +1,25 @@
test_that("Skim prints a header for the entire output and each type", {
withr::local_options(list(cli.unicode = FALSE))
skip_if_not(l10n_info()$`UTF-8`)
- input <- skim(iris)
- expect_print_matches_file(input, "print/default.txt")
-
- input$numeric.hist <- NULL
- expect_print_matches_file(input, "print/no-hist.txt")
+ expect_snapshot({
+ input <- skim(iris)
+ input
+ input$numeric.hist <- NULL
+ input
+ })
})
test_that("Skim prints a special header for grouped data frames", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
- input <- skim(dplyr::group_by(iris, Species))
- expect_print_matches_file(input, "print/groups.txt")
+ expect_snapshot( skim(dplyr::group_by(iris, Species)))
})
test_that("Skim lists print as expected", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
skimmed <- skim(iris)
- input <- partition(skimmed)
- expect_print_matches_file(input, "print/list.txt")
+ expect_snapshot(partition(skimmed))
})
test_that("knit_print produces expected results", {
@@ -30,23 +29,23 @@ test_that("knit_print produces expected results", {
input <- knit_print(skimmed)
expect_s3_class(input, "knit_asis")
expect_length(input, 1)
- expect_matches_file(input, "print/knit_print.txt")
+ expect_snapshot(cat(input))
})
test_that("knit_print works with skim summaries", {
withr::local_options(list(cli.unicode = FALSE))
skimmed <- skim(iris)
summarized <- summary(skimmed)
- input <- knitr::knit_print(summarized)
- expect_matches_file(input, "print/knit_print-summary.txt")
+ expect_snapshot(cat(knitr::knit_print(summarized)))
})
test_that("knit_print appropriately falls back to tibble printing", {
withr::local_options(list(cli.unicode = FALSE))
skimmed <- skim(iris)
reduced <- dplyr::select(skimmed, skim_variable, numeric.mean)
- printed <- testthat::capture_output(input <- knitr::knit_print(reduced))
- expect_matches_file(printed, "print/knit_print-fallback.txt")
+ expect_snapshot({
+ input <- knitr::knit_print(reduced)
+ })
expect_s3_class(input, "data.frame")
})
@@ -55,8 +54,7 @@ test_that("Summaries can be suppressed within knitr", {
withr::local_options(list(cli.unicode = FALSE))
skimmed <- skim(iris)
options <- list(skimr_include_summary = FALSE)
- input <- knitr::knit_print(skimmed, options = options)
- expect_matches_file(input, "print/knit_print-suppressed.txt")
+ expect_snapshot(cat(knitr::knit_print(skimmed, options = options)))
})
test_that("Skim lists have a separate knit_print method", {
@@ -64,55 +62,48 @@ test_that("Skim lists have a separate knit_print method", {
withr::local_options(list(cli.unicode = FALSE))
skimmed <- skim(iris)
skim_list <- partition(skimmed)
- input <- knit_print(skim_list)
- expect_matches_file(input, "print/knit_print-skim_list.txt")
+ expect_snapshot(cat(knit_print(skim_list)))
})
test_that("You can yank a type from a skim_df and call knit_print", {
withr::local_options(list(cli.unicode = FALSE))
skimmed <- skim(iris)
skim_one <- yank(skimmed, "factor")
- input <- knit_print(skim_one)
- expect_matches_file(input, "print/knit_print-yank.txt")
+ expect_snapshot(cat(knit_print(skim_one)))
})
test_that("Skim falls back to tibble::print.tbl() appropriately", {
withr::local_options(list(cli.unicode = FALSE))
- input <- skim(iris)
- mean_only <- dplyr::select(input, numeric.mean)
- expect_print_matches_file(mean_only, "print/fallback.txt")
+
+ expect_snapshot({
+ input <- skim(iris)
+ dplyr::select(input, numeric.mean)
+ })
})
test_that("Print focused objects appropriately", {
withr::local_options(list(cli.unicode = FALSE))
skip_if_not(l10n_info()$`UTF-8`)
skimmed <- skim(iris)
- input <- focus(skimmed, n_missing)
- expect_print_matches_file(input, "print/focus.txt")
+ expect_snapshot(focus(skimmed, n_missing))
})
test_that("Support for smaller consoles can be set with the width option", {
withr::local_options(list(cli.unicode = FALSE))
skip_if_not(l10n_info()$`UTF-8`)
- skimmed <- skim(iris)
- expect_print_matches_file(skimmed, "print/smaller.txt", width = 50)
+ expect_snapshot(skim(iris))
})
test_that("Table header width can be controlled by an option", {
withr::local_options(list(cli.unicode = FALSE))
skip_if_not(l10n_info()$`UTF-8`)
skimmed <- skim(iris)
- expect_print_matches_file(
- skimmed,
- "print/narrow-header.txt",
- skimr_table_header_width = 50
- )
+ expect_snapshot(skimmed)
})
test_that("skimr creates appropriate output for Jupyter", {
withr::local_options(list(cli.unicode = FALSE))
skip_if_not(l10n_info()$`UTF-8`)
skimmed <- skim(iris)
- input <- testthat::capture_output(repr_text(skimmed))
- expect_matches_file(input, "print/repr.txt")
+ expect_snapshot(skimmed)
})
diff --git a/tests/testthat/test-skim_tee.R b/tests/testthat/test-skim_tee.R
index 26af8bb0..7af460c1 100644
--- a/tests/testthat/test-skim_tee.R
+++ b/tests/testthat/test-skim_tee.R
@@ -1,21 +1,24 @@
test_that("Using skim_tee prints returns the object", {
skip_if_not(l10n_info()$`UTF-8`)
- input <- testthat::capture_output(skim_object <- skim_tee(chickwts))
- expect_matches_file(input, "skim_tee/skim_tee.txt")
+ expect_snapshot({
+ skim_object <- skim_tee(chickwts)
+ })
expect_identical(chickwts, skim_object)
})
test_that("skim_tee prints only selected columns, but returns full object", {
skip_if_not(l10n_info()$`UTF-8`)
- input <- testthat::capture_output(obj <- skim_tee(iris, Species))
- expect_matches_file(input, "skim_tee/species.txt")
+ expect_snapshot({
+ obj <- skim_tee(iris, Species)
+ })
expect_identical(obj, iris)
})
test_that("skim_tee supports dplyr helpers", {
skip_if_not(l10n_info()$`UTF-8`)
- input <- testthat::capture_output(obj <- skim_tee(iris, starts_with("Sepal")))
- expect_matches_file(input, "skim_tee/sepal.txt")
+ expect_snapshot({
+ obj <- skim_tee(iris, starts_with("Sepal"))
+ })
expect_identical(obj, iris)
})
@@ -23,9 +26,8 @@ test_that("Skim_tee works with groups", {
skip_if_not(l10n_info()$`UTF-8`)
iris_grouped <- dplyr::group_by(iris, Species)
my_skim <- skim_with(numeric = sfl(hist = NULL))
- input <- testthat::capture_output(
+ expect_snapshot({
obj <- skim_tee(iris_grouped, Sepal.Length, skim_fun = my_skim)
- )
- expect_matches_file(input, "skim_tee/grouped.txt")
+ })
expect_identical(obj, iris_grouped)
})
diff --git a/tests/testthat/test-skim_with.R b/tests/testthat/test-skim_with.R
index d94f018f..2cc4f55e 100644
--- a/tests/testthat/test-skim_with.R
+++ b/tests/testthat/test-skim_with.R
@@ -135,10 +135,8 @@ test_that("An empty call to skim_with() returns the default skim()", {
})
test_that("User-defined defaults require sfl's with class names", {
- with_mock(
- get_skimmers = function(column) sfl(length),
- expect_error(skim(data.frame(1)), "Default skimming functions")
- )
+ local_mocked_bindings(get_skimmers = function(column) sfl(length))
+ expect_error(skim(data.frame(1)), "Default skimming functions")
})
test_that("Sfl's can be passed as an unquoted list", {
@@ -168,8 +166,8 @@ test_that("Doubles and integers are both 'numeric'", {
test_that("Defining an integer sfl changes behavior", {
df <- data.frame(int = 1:3, dbl = 1:3 + 0.5)
- my_skim <- expect_message(
- skim_with(
+ expect_message(
+ my_skim <- skim_with(
numeric = sfl(hist = NULL), integer = sfl(int_mean = mean)
)
)
diff --git a/tests/testthat/test-summary.R b/tests/testthat/test-summary.R
index 91f9f3b8..c44454bd 100644
--- a/tests/testthat/test-summary.R
+++ b/tests/testthat/test-summary.R
@@ -20,11 +20,7 @@ test_that("The summary print method prints the correct object", {
skip_if_not(l10n_info()$`UTF-8`)
withr::local_options(list(cli.unicode = FALSE))
skim_summary_input <- summary(skim(iris))
- expect_known_output(
- skim_summary_input, "summary/summary_iris.txt",
- update = FALSE,
- print = TRUE
- )
+ expect_snapshot(skim_summary_input)
})
test_that("The summary print method prints the correct object when piped", {
@@ -34,9 +30,7 @@ test_that("The summary print method prints the correct object when piped", {
summary_input <- iris %>%
skim() %>%
summary()
- expect_known_output(summary_input, "summary/summary_iris_piped.txt",
- update = FALSE, print = TRUE
- )
+ expect_snapshot(summary_input)
})
test_that("null object gets expected message", {
diff --git a/tests/testthat/test-vctrs.R b/tests/testthat/test-vctrs.R
index 611893f3..f1fd3f9e 100644
--- a/tests/testthat/test-vctrs.R
+++ b/tests/testthat/test-vctrs.R
@@ -19,7 +19,7 @@ test_that("You can bind skim_df rows", {
test_that("When binding columns, fall back to tbl_df", {
skimmed <- skim(iris)
- combined <- vctrs::vec_cbind(skimmed, skimmed)
+ combined <- vctrs::vec_cbind(skimmed, skimmed, .name_repair = "universal_quiet")
expect_s3_class(combined, "tbl")
expect_false("skim_df" %in% class(combined))
})