Staying up to date on R packages

[This article was first published on Inundata » R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here)
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.


Unless you regularly use particular R packages,  it’s becomes difficult to stay on top of updates and bug fixes.  Updates usually also include significant improvements in performance.  I wrote this short snippet of code which I run about once a month to keep up on updates. This short bit of code will give you a list of changes and decide which ones to update:

installed<-installed.packages()
available <-available.packages()
ia <- merge(installed, available, by="Package")[,c("Package", "Version.x", "Version.y")]
updates<-ia[as.character(ia$Version.x) != as.character(ia$Version.y),]
updates

If you would like to install every available update:

update.packages()

If you would like to keep up on new packages being released, I highly recommend following @CRANberries

To leave a comment for the author, please follow the link and comment on their blog: Inundata » R.

R-bloggers.com offers daily e-mail updates about R news and tutorials about learning R and many other topics. Click here if you're looking to post or find an R/data-science job.
Want to share your content on R-bloggers? click here if you have a blog, or here if you don't.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)