Diffs for R Objects

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

diffobj - Diffs for R Objects

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

See the introductory vignette for details.

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:

Installation

This package is available on CRAN.

install.packages("diffobj")
browseVignettes("diffobj")

Related Software

• tools::Rdiff.
• Daff diff, patch and merge for data.frames.
• GNU diff.
• 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.
• The users who have reported bugs and possible fixes, and/or made feature requests (see NEWS.md).
• Gábor Csárdi for crayon.
• Jim Hester for covr, and with Rstudio for r-lib/actions.
• Dirk Eddelbuettel and Carl Boettiger for the rocker project, and Gábor Csárdi and the R-consortium for Rhub, without which testing bugs on R-devel and other platforms would be a nightmare.
• Hadley Wickham and Peter Danenberg for roxygen2.
• Yihui Xie for knitr and J.J. Allaire etal for rmarkdown, and by extension John MacFarlane for pandoc.
• Olaf Mersmann for microbenchmark, because microsecond matter, and Joshua Ulrich for making it lightweight and maintaining it.
• Tomas Kalibera for rchk and the accompanying vagrant image, and rcnst to help detect errors in compiled code.
• Winston Chang for the r-debug docker container, in particular because of the valgrind level 2 instrumented version of R.
• Gábor Csárdi, the R-consortium, etal for revdepcheck to simplify reverse dependency checks.
• All open source developers out there that make their work freely available for others to use.
• Github, Codecov, Vagrant, Docker, Ubuntu, Brew for providing infrastructure that greatly simplifies open source development.
• Free Software Foundation for developing the GPL license and promotion of the free software movement.