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https://github.com/brodieG/diffobj

Compare R Objects with a Diff
https://github.com/brodieG/diffobj

diff r

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Compare R Objects with a Diff

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README 

        
# diffobj - Diffs for R Objects



[![R build status](https://github.com/brodieG/diffobj/workflows/R-CMD-check/badge.svg)](https://github.com/brodieG/diffobj/actions)

[![](https://codecov.io/github/brodieG/diffobj/coverage.svg?branch=master)](https://codecov.io/github/brodieG/diffobj?branch=master)

[![](http://www.r-pkg.org/badges/version/diffobj)](https://cran.r-project.org/package=diffobj)

[![Dependencies direct/recursive](https://tinyverse.netlify.app/badge/diffobj)](https://tinyverse.netlify.app/)



Generate a colorized diff of two R objects for an intuitive visualization of their differences.



> See the [introductory vignette for details][1].



## Output



If your terminal supports formatting through ANSI escape sequences, `diffobj` will output colored diffs to the terminal.  Otherwise, output will be colored with HTML/CSS and sent to the IDE viewport or to your browser.  `diffobj` comes with several built-in color schemes that can be further customized.  Some examples:



![Output Examples](https://raw.githubusercontent.com/brodieG/diffobj/master/cliandrstudio.png)



## Installation



This package is available on [CRAN](https://cran.r-project.org/package=diffobj).



```

install.packages("diffobj")

browseVignettes("diffobj")

```



## Related Software



* [tools::Rdiff][2].

* [Daff](https://cran.r-project.org/package=daff) diff, patch and merge for

  data.frames.

* [GNU diff](https://www.gnu.org/software/diffutils/).

* [waldo](https://cran.r-project.org/package=waldo), which internally uses

  `diffobj` for diffs but takes a more hands-on approach to detailing object

  differences.



## Acknowledgements



* R Core for developing and maintaining such a wonderful language.

* CRAN maintainers, for patiently shepherding packages onto CRAN and maintaining

  the repository, and Uwe Ligges in particular for maintaining

  [Winbuilder](http://win-builder.r-project.org/).

* The users who have reported bugs and possible fixes, and/or made feature

  requests (see NEWS.md).

* [Gábor Csárdi](https://github.com/gaborcsardi) for

  [crayon](https://github.com/r-lib/crayon).

* [Jim Hester](https://github.com/jimhester) for

  [covr](https://cran.r-project.org/package=covr), and with Rstudio for

  [r-lib/actions](https://github.com/r-lib/actions).

* [Dirk Eddelbuettel](https://github.com/eddelbuettel) and [Carl

  Boettiger](https://github.com/cboettig) for the

  [rocker](https://github.com/rocker-org/rocker) project, and [Gábor

  Csárdi](https://github.com/gaborcsardi) and the

  [R-consortium](https://www.r-consortium.org/) for

  [Rhub](https://github.com/r-hub), without which testing bugs on R-devel and

  other platforms would be a nightmare.

* [Hadley Wickham](https://github.com/hadley/) and [Peter

  Danenberg](https://github.com/klutometis) for

  [roxygen2](https://cran.r-project.org/package=roxygen2).

* [Yihui Xie](https://github.com/yihui) for

  [knitr](https://cran.r-project.org/package=knitr) and  [J.J.

  Allaire](https://github.com/jjallaire) etal for

  [rmarkdown](https://cran.r-project.org/package=rmarkdown), and by extension

  John MacFarlane for [pandoc](https://pandoc.org/).

* Olaf Mersmann for

  [microbenchmark](https://cran.r-project.org/package=microbenchmark), because

  microsecond matter, and [Joshua Ulrich](https://github.com/joshuaulrich) for

  making it lightweight and maintaining it.

* [Tomas Kalibera](https://github.com/kalibera) for

  [rchk](https://github.com/kalibera/rchk) and the accompanying vagrant image,

  and rcnst to help detect errors in compiled code.

* [Winston Chang](https://github.com/wch) for the

  [r-debug](https://hub.docker.com/r/wch1/r-debug/) docker container, in

  particular because of the valgrind level 2 instrumented version of R.

* [Gábor Csárdi](https://github.com/gaborcsardi), the

  [R-consortium](https://www.r-consortium.org/), etal for

  [revdepcheck](https://github.com/r-lib/revdepcheck) to simplify reverse

  dependency checks.

* All open source developers out there that make their work freely available

  for others to use.

* [Github](https://github.com/), [Codecov](https://about.codecov.io/),

  [Vagrant](https://www.vagrantup.com/), [Docker](https://www.docker.com/),

  [Ubuntu](https://ubuntu.com/), [Brew](https://brew.sh/) for providing

  infrastructure that greatly simplifies open source development.

* [Free Software Foundation](https://www.fsf.org/) for developing the GPL

  license and promotion of the free software movement.



[1]: https://cran.r-project.org/package=diffobj/vignettes/diffobj.html

[2]: https://stat.ethz.ch/R-manual/R-devel/library/tools/html/Rdiff.html