How to Upgrade R Without Losing Your Packages

June 19, 2015
By

[This article was first published on R Tricks – Data Science Riot!, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
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Yup kids, it’s that time again. The new version of R was just released. In the past I’ve hesitated to upgrade my R version because I knew I would lose all of my packages during the new install, which makes me very grumpy.

I found this neat little trick to save my current packages before the new install and re-load them into the new version. I did this on Mac Yosemite but I this should work on Windows or Linux as well.

1. Before you upgrade, build a temp file with all of your old packages.

tmp <- installed.packages()
installedpkgs <- as.vector(tmp[is.na(tmp[,"Priority"]), 1])
save(installedpkgs, file="installed_old.rda")

2. Install the new version of R and let it do it’s thing.

3. Once you’ve got the new version up and running, reload the saved packages and re-install them from CRAN.

load("installed_old.rda")
tmp <- installed.packages()
installedpkgs.new <- as.vector(tmp[is.na(tmp[,"Priority"]), 1])
missing <- setdiff(installedpkgs, installedpkgs.new)
install.packages(missing)
update.packages()

Note: If you had any packages from BioConductor, you can update those too!

source("http://bioconductor.org/biocLite.R")
chooseBioCmirror()
biocLite()
load("installed_old.rda")
tmp <- installed.packages()
installedpkgs.new <- as.vector(tmp[is.na(tmp[,"Priority"]), 1])
missing <- setdiff(installedpkgs, installedpkgs.new)
for (i in 1:length(missing)) biocLite(missing[i])

All done, now you can get back to cracking out R code. This method helped me save a lot of time, hope someone else finds it useful!

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