InstallOldPackages: a repmis command for installing old R package versions

(This article was first published on Christopher Gandrud (간드루드 크리스토파) , and kindly contributed to R-bloggers)

A big problem in reproducible research is that software changes. The code you used to do a piece of research may depend on a specific version of software that has since been changed. This is an annoying problem in R because install.packages only installs the most recent version of a package. It can be tedious to collect the old versions.

On Toby Dylan Hocking's suggestion, I added tools to the repmis package so that you can install, load, and cite specific R package versions. It should work for any package version that is stored on the CRAN archive (http://cran.r-project.org).

To only install old package versions use the new repmis command InstallOldPackages. For example:

# Install old versions of the e1071 and gtools packages.



# Create vectors of the package names and versions to install

# Note the names and version numbers must be in the same order

Names &lt- c("e1071", "gtools")

Vers &lt- c("1.6", "2.6.1")



# Install old package versions into the default library

InstallOldPackages(pkgs = Names, versions = Vers)
 

You can also now have LoadandCite install specific package versions:

# Install, load, and cite specific package versions



# Create vectors of the package names and versions to install

# Note the names and version numbers must be in the same order

Names &lt- c("e1071", "gtools") 

Vers &lt- c("1.6", "2.6.1")



# Run LoadandCite

LoadandCite(pkgs = Names, versions = Vers, install = TRUE, file = "PackageCites.bib")
 

See this post for more details on LoadandCite.

Future

I intend to continue improving these capabilities. So please post any suggestions for improvement (or report any bugs) at on the GitHub issues page.

To leave a comment for the author, please follow the link and comment on his blog: Christopher Gandrud (간드루드 크리스토파) .

---

R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave, LaTeX, SQL, Eclipse, git, hadoop, Web Scraping) statistics (regression, PCA, time series,ecdf, trading) and more...

via Jonathan's starred items in Google Reader