small fixes to documentation

NEWS.md

@@ -10,7 +10,7 @@
 * The app allows users to review their contributors_table within the app even if it does not pass the validation checks.
 * There are two new columns added to the contributors_table template: ORCiD iD and Funding.
 * The name of the CRediT taxonomy roles in the contributors_table are now fixed as well their URLs directing to each role in the taxonomy's documentation.
-* The contributors_table template is now empty. However, a filled out example template is added to the package as an external datafile. See the local_use vignette on how to load this example file.
+* The contributors_table template is now empty. However, a filled out example template is added to the package as an external datafile. See `vignette("local_use")` on how to load this example file.
 * The title page output option now allows users to add multiple first authors and prints an additional text listing the names of the shared first authors and the email address of the corresponding author.
 * The app got a new, cleaner look.
 

R/rename.R

@@ -1,7 +1,7 @@
 #' Functions renamed in tenzing 0.2.0
 #' 
-#' @description 
-#' `r lifecycle::badge(deprecated)`
+#' @description
+#' `r lifecycle::badge('deprecated')`
 #' 
 #' In `tenzing 0.2.0` we renamed the `infosheet` to `contributors_table`
 #' in all functions, arguments, and documentation as the new name

README.Rmd

@@ -21,7 +21,7 @@ knitr::opts_chunk$set(
 
 Tenzing, an easy-to-use web-based app, allows researchers to generate reports about the contribution of each team member on a project using CRediT, for insertion into their manuscripts and for publishers to potentially incorporate into article metadata.
 
-[CRediT](https://www.casrai.org/credit.html) (Contributor Roles Taxonomy) is a taxonomy of 14 categories of contributions to scientific scholarly output. Each researcher can indicate which category they contributed to in a scholarly project.
+[CRediT](http://credit.niso.org/) (Contributor Roles Taxonomy) is a taxonomy of 14 categories of contributions to scientific scholarly output. Each researcher can indicate which category they contributed to in a scholarly project.
 
 The app is named after the Nepali-Indian Sherpa Tenzing Norgay, who was one of the two individuals who reached the summit of Mount Everest for the first time. Despite his essential contribution, he received less credit than his partner, the New Zealand mountaineer Edmund Hillary.
 
@@ -41,7 +41,7 @@ Tenzing can be used either via the web app or via R.
 
 ### Using the web app
 
-You can use the app at [https://martonbalazskovacs.shinyapps.io/tenzing/](https://martonbalazskovacs.shinyapps.io/tenzing/).
+You can use the app at [https://tenzing.club/](https://tenzing.club/).
 
 You can alternatively run the app locally on your own computer by following these instructions:
 

README.md

@@ -14,10 +14,10 @@ reports about the contribution of each team member on a project using
 CRediT, for insertion into their manuscripts and for publishers to
 potentially incorporate into article metadata.
 
-[CRediT](https://www.casrai.org/credit.html) (Contributor Roles
-Taxonomy) is a taxonomy of 14 categories of contributions to scientific
-scholarly output. Each researcher can indicate which category they
-contributed to in a scholarly project.
+[CRediT](http://credit.niso.org/) (Contributor Roles Taxonomy) is a
+taxonomy of 14 categories of contributions to scientific scholarly
+output. Each researcher can indicate which category they contributed to
+in a scholarly project.
 
 The app is named after the Nepali-Indian Sherpa Tenzing Norgay, who was
 one of the two individuals who reached the summit of Mount Everest for
@@ -28,14 +28,14 @@ credit than his partner, the New Zealand mountaineer Edmund Hillary.
 
 Tenzing can:
 
-  - read all the necessary contributorship information from one file
+-   read all the necessary contributorship information from one file
     (.csv, .tsv or .xlsx)
-  - create a report of the contributions
-  - create the contributors’ affiliation information, designed for
+-   create a report of the contributions
+-   create the contributors’ affiliation information, designed for
     inclusion in the first page of a manuscript
-  - create JATS XML with the contributions, suitable for publishers to
+-   create JATS XML with the contributions, suitable for publishers to
     include in metadata
-  - create a YAML output that will automatically add the contributorship
+-   create a YAML output that will automatically add the contributorship
     information to the `papaja`package used by some researchers to write
     APA-formatted manuscripts
 
@@ -45,28 +45,20 @@ Tenzing can be used either via the web app or via R.
 
 ### Using the web app
 
-You can use the app at
-<https://martonbalazskovacs.shinyapps.io/tenzing/>.
+You can use the app at <https://tenzing.club/>.
 
 You can alternatively run the app locally on your own computer by
 following these instructions:
 
-You may try to start the downlad and start the app directly in R with
-
-```r
-# install.packages ("shiny")
-shiny::runGitHub("marton-balazs-kovacs/tenzing")
-```
-
-Or install the development version (tenzing is not available from CRAN)
+Install the development version (tenzing is not available from CRAN)
 from [GitHub](https://github.com/) with:
 
 ``` r
 # install.packages("devtools")
 devtools::install_github("marton-balazs-kovacs/tenzing")
 ```
 
-Running the app with:
+Running the app.
 
 ``` r
 tenzing::run_app()

_pkgdown.yml

@@ -32,7 +32,9 @@ reference:
 news:
   cran_dates: false
   one_page: true
-
-links:
+
+home:
+  strip_header: true
+  links:
   - text: Shiny app
     href: http://tenzing.club/

vignettes/app_use.Rmd

@@ -15,7 +15,7 @@ knitr::opts_chunk$set(
 )
 ```
 
-The `tenzing` package can be used as a shiny application, which is already embedded in a webpage: [https://martonbalazskovacs.shinyapps.io/tenzing/](https://martonbalazskovacs.shinyapps.io/tenzing/). When you first open the app it might take a few seconds for the page to load.
+The `tenzing` package can be used as a shiny application, which is already embedded in a webpage: [https://tenzing.club/](https://tenzing.club/). When you first open the app it might take a few seconds for the page to load.
 
 If you want to instead run the app locally from your computer, first you have to open R and install the `tenzing` package with the following code: