Suppose you’re opening an issue in GitHub and there’s a lot noisey logs that may be useful or you want to add the sessionInfo() to the end of the issue.

Rather than wrecking readability, wrapping it in a <details> tag is a great solution

<details>
 <summary>Summary Goes Here</summary>
 ...this is hidden, collapsable content...
</details>

Doing this manually every time is a pain.

details is a package lets you create and customize details blocks for markdown documents and Roxygen2 documentation within R.

Installation

CRAN

install.packages("details")

Dev

remotes::install_github("yonicd/details")

Markdown

Input

The function details::details can handle inputs

  • R object with supported classes:
    • character
    • data.frame
    • tibble
    • list
    • device (eg plots)
  • File paths will be identified internally and the lines will be read in automatically.

Output

The function details::details can output the result to

  • console (default)
  • clipboard via clipr
  • file.editor useful when clipr not available

Examples

One the most popular uses for details is to paste the sessioninfo at the bottom of a GitHub issue.

library(details)

sessioninfo::session_info()%>%
  details::details(summary = 'current session info')
current session info ``` r ─ Session info ─────────────────────────────────────────────────────────────── setting value version R version 3.6.3 (2020-02-29) os macOS Catalina 10.15.7 system x86_64, darwin15.6.0 ui X11 language (EN) collate en_US.UTF-8 ctype en_US.UTF-8 tz UTC date 2021-01-14 ─ Packages ─────────────────────────────────────────────────────────────────── package * version date lib assertthat 0.2.1 2019-03-21 [1] callr 3.5.1 2020-10-13 [1] cli 2.2.0 2020-11-20 [1] clipr 0.7.1 2020-10-08 [1] covr * 3.3.2 2021-01-14 [1] covrpage 0.1 2021-01-14 [1] crayon 1.3.4 2017-09-16 [1] curl 4.3 2019-12-02 [1] desc 1.2.0 2018-05-01 [1] details * 0.2.2 2021-01-14 [1] diffobj 0.3.3 2021-01-07 [1] digest 0.6.27 2020-10-24 [1] ellipsis 0.3.1 2020-05-15 [1] evaluate 0.14 2019-05-28 [1] fansi 0.4.1 2020-01-08 [1] git2r 0.28.0 2021-01-10 [1] glue 1.4.2 2020-08-27 [1] highr 0.8 2019-03-20 [1] htmltools 0.5.1 2021-01-12 [1] httr 1.4.2 2020-07-20 [1] knitr * 1.30 2020-09-22 [1] lazyeval 0.2.2 2019-03-15 [1] lifecycle 0.2.0 2020-03-06 [1] magrittr * 2.0.1 2020-11-17 [1] mime 0.9 2020-02-04 [1] pillar 1.4.7 2020-11-20 [1] pkgbuild 1.2.0 2020-12-15 [1] pkgconfig 2.0.3 2019-09-22 [1] png 0.1-7 2013-12-03 [1] prettyunits 1.1.1 2020-01-24 [1] processx 3.4.5 2020-11-30 [1] ps 1.5.0 2020-12-05 [1] R6 2.5.0 2020-10-28 [1] rematch2 2.1.2 2020-05-01 [1] remotes 2.2.0 2020-07-21 [1] rex 1.2.0 2020-04-21 [1] rlang 0.4.10 2020-12-30 [1] rmarkdown 2.6 2020-12-14 [1] rprojroot 2.0.2 2020-11-15 [1] rstudioapi 0.13 2020-11-12 [1] sessioninfo 1.1.1 2018-11-05 [1] stringi 1.5.3 2020-09-09 [1] stringr 1.4.0 2019-02-10 [1] testthat * 3.0.1 2020-12-17 [1] tibble 3.0.4 2020-10-12 [1] vctrs 0.3.6 2020-12-17 [1] waldo 0.2.3 2020-11-09 [1] whisker 0.4 2019-08-28 [1] withr 2.3.0 2020-09-22 [1] xfun 0.20 2021-01-06 [1] xml2 1.3.2 2020-04-23 [1] yaml 2.2.1 2020-02-01 [1] source CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) Github (r-lib/covr@79a5625) Github (metrumresearchgroup/covrpage@ce8579a) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.0) local CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) [1] /Users/runner/work/_temp/Library [2] /Library/Frameworks/R.framework/Versions/3.6/Resources/library ```


You can also use the knitr chunk engine that is shipped with details to created outputs in Rmarkdown documents.

```{details, echo = FALSE, details.summary = 'current session info'}
sessioninfo::session_info()
```
current session info ``` r ─ Session info ─────────────────────────────────────────────────────────────── setting value version R version 3.6.3 (2020-02-29) os macOS Catalina 10.15.7 system x86_64, darwin15.6.0 ui X11 language (EN) collate en_US.UTF-8 ctype en_US.UTF-8 tz UTC date 2021-01-14 ─ Packages ─────────────────────────────────────────────────────────────────── package * version date lib assertthat 0.2.1 2019-03-21 [1] callr 3.5.1 2020-10-13 [1] cli 2.2.0 2020-11-20 [1] clipr 0.7.1 2020-10-08 [1] covr * 3.3.2 2021-01-14 [1] covrpage 0.1 2021-01-14 [1] crayon 1.3.4 2017-09-16 [1] curl 4.3 2019-12-02 [1] desc 1.2.0 2018-05-01 [1] details * 0.2.2 2021-01-14 [1] diffobj 0.3.3 2021-01-07 [1] digest 0.6.27 2020-10-24 [1] ellipsis 0.3.1 2020-05-15 [1] evaluate 0.14 2019-05-28 [1] fansi 0.4.1 2020-01-08 [1] git2r 0.28.0 2021-01-10 [1] glue 1.4.2 2020-08-27 [1] highr 0.8 2019-03-20 [1] htmltools 0.5.1 2021-01-12 [1] httr 1.4.2 2020-07-20 [1] knitr * 1.30 2020-09-22 [1] lazyeval 0.2.2 2019-03-15 [1] lifecycle 0.2.0 2020-03-06 [1] magrittr * 2.0.1 2020-11-17 [1] mime 0.9 2020-02-04 [1] pillar 1.4.7 2020-11-20 [1] pkgbuild 1.2.0 2020-12-15 [1] pkgconfig 2.0.3 2019-09-22 [1] png 0.1-7 2013-12-03 [1] prettyunits 1.1.1 2020-01-24 [1] processx 3.4.5 2020-11-30 [1] ps 1.5.0 2020-12-05 [1] R6 2.5.0 2020-10-28 [1] rematch2 2.1.2 2020-05-01 [1] remotes 2.2.0 2020-07-21 [1] rex 1.2.0 2020-04-21 [1] rlang 0.4.10 2020-12-30 [1] rmarkdown 2.6 2020-12-14 [1] rprojroot 2.0.2 2020-11-15 [1] rstudioapi 0.13 2020-11-12 [1] sessioninfo 1.1.1 2018-11-05 [1] stringi 1.5.3 2020-09-09 [1] stringr 1.4.0 2019-02-10 [1] testthat * 3.0.1 2020-12-17 [1] tibble 3.0.4 2020-10-12 [1] vctrs 0.3.6 2020-12-17 [1] waldo 0.2.3 2020-11-09 [1] whisker 0.4 2019-08-28 [1] withr 2.3.0 2020-09-22 [1] xfun 0.20 2021-01-06 [1] xml2 1.3.2 2020-04-23 [1] yaml 2.2.1 2020-02-01 [1] source CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) Github (r-lib/covr@79a5625) Github (metrumresearchgroup/covrpage@ce8579a) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.0) local CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.2) CRAN (R 3.6.0) [1] /Users/runner/work/_temp/Library [2] /Library/Frameworks/R.framework/Versions/3.6/Resources/library ```


There are a number of objects that can be placed in a details block other than a character object. An example of a object is a device output such as a plot

details(plot(x=mtcars$mpg,y=mtcars$wt), summary = 'My plot')
My plot ![](https://i.imgur.com/Q8o6VIQ.png)


Package Documentation

Many times in documentation there is a lot to say, but you do not want to overwhelm the user.

To solve this we can use folding blocks in the documentation (which are then rendered into pkgdown website automatically)

Setup

To make it easy to set up the DESCRIPTION file of your package so you can use details macros run the following :

use_details('PATH_TO_DESCRIPTION_FILE')

This will append three elements to the DESCRIPTION file

  • Imports: details
  • RdMacros: details
  • Roxygen: list(markdown = TRUE)

Usage

You can use this feature by wrapping documentation with the macros

\foldstart{[SUMMARY TEXT]}

#' DOCUMENTATION
#' ...
#' DOCUMENTATION

\foldend

The SUMMARY_TEXT is optional, where the folded block will have a header of SUMMARY TEXT.

The default will display details.

These folded blocks can be inserted anywhere in the documentation, eg @description, @param, @details, @return, ….

Vignettes

More information can be found in the articles of the package site.

  • Creating a sessioninfo to paste into Github, Stackoverflow or Community Sites.
  • Customizing the details output
  • What R objects details can handle
  • Using the details knitr chunk engine
  • Using details in Roxygen2

Code of Conduct

Please note that the ‘details’ project is released with a Contributor Code of Conduct. By contributing to this project, you agree to abide by its terms.