How to upgrade R on windows 7

Background – time to upgrade to R 2.13.0

The news of the new release of R 2.13.0 is out, and the R blogosphere is buzzing. Bloggers posting excitedly about the new R compiler package that brings with it the hope to speed up our R code with up to 4 times improvement and even a JIT compiler for R. So it is time to upgrade, and bloggers are here to help. Some wrote how to upgrade R on Linux and mac OSX (based on posts by Paolo). And it is now my turn, with suggestions on how to upgrade R on windows 7.

Upgrading R on windows – the two strategies

The classic description of how to upgrade R can be found in the R project FAQ page (and also the FAQ on how to install R on windows)

There are basically two strategies for R upgrading on windows. The first is to install a new R version and copy paste all the packages to the new R installation folder. The second is to have a global R package folder, each time synced to the most current R installation (thus saving us the time of copying the package library each we upgrade R).

I described the second strategy in detail in a post I wrote a year ago titled: “How to upgrade R on windows XP – another strategy” which explains how to upgrade R using the simple two-liner code:

source("http://www.r-statistics.com/wp-content/uploads/2010/04/upgrading-R-on-windows.r.txt")
New.R.RunMe()

p.s: If this is the first time you are upgrading R using this method, then first run the following two lines on your old R installation (before running the above code in the new R intallation):

source("http://www.r-statistics.com/wp-content/uploads/2010/04/upgrading-R-on-windows.r.txt")
Old.R.RunMe()

The above code should be enough.  However, there are some common pitfalls you might encounter when upgrading R on windows 7, bellow I outline the ones I know about, and how they can be solved.

Continue reading How to upgrade R on windows 7

Article about plyr published in JSS, and the citation was added to the new plyr (version 1.5)

The plyr package (by Hadley Wickham) is one of the few R packages for which I can claim to have used for all of my statistical projects. So whenever a new version of plyr comes out I tend to be excited about it (as was when version 1.2 came out with support for parallel processing)

So it is no surprise that the new release of plyr 1.5 got me curious. While going through the news file with the new features and bug fixes, I noticed how (quietly) Hadley has also released (6 days ago) another version of plyr prior to 1.5 which was numbered 1.4.1. That version included only one more function, but a very important one – a new citation reference for when using the plyr package. Here is how to use it:

install.packages("plyr") # so to upgrade to the latest release
citation("plyr")

The output gives both a simple text version as well as a BibTeX entry for LaTeX users. Here it is (notice the download link for yourself to read):

To cite plyr in publications use:
Hadley Wickham (2011). The Split-Apply-Combine Strategy for Data
Analysis. Journal of Statistical Software, 40(1), 1-29. URL
http://www.jstatsoft.org/v40/i01/.

I hope to see more R contributers and users will make use of the ?citation() function in the future.