« Quick thoughts on "R-Powered Web Apps" | Main | Equivalents to SAS, SPSS modules in R »

January 14, 2010

TrackBack

TrackBack URL for this entry:
http://www.typepad.com/services/trackback/6a010534b1db25970b0120a7b6e7e1970b

Listed below are links to weblogs that reference Coming to R from SQL, Python, SAS, Matlab, or Lisp:

Comments

Feed You can follow this conversation by subscribing to the comment feed for this post.

hi, i wrote an r journal article on this topic: transitioning to r from sas, stata, and sudaan -- the examples i use are health policy statistics.. but it's perfectly relevant to this material :)

http://journal.r-project.org/archive/2009-2/2009-2_index.html

I often turn up my nose at all the poor folks stuck using closed-source SAS, matlab, etc. Just this week, though, I found myself with stuck with SPSS command files.

I was trying to get census microdata into R. They distribute fixed-width data files and separate command files for reading the data for Stata, SAS, and SPSS. Commence google hunt. I stumbled across PSPP, the GNU version of SPSS. This gave me an open-source tool that allowed me to save my data as an SPSS data file, then read it into R with via read.spss (in package foreign).

Diversity saves the day!

Census microdata is at http://usa.ipums.org/usa/, incidentally.

As a SAS user recently taking up R I found http://www.statmethods.net/ invaluable - it is a really great site for the basics.

I don't often self-promote, but for general users, a book I wrote with Nick Horton is effectively a meshed set of documentation for SAS and R. It can be a big help in transitioning if your investment in SAS is deep. See http://www.math.smith.edu/sasr for our book's home page and http://sas-and-r.blogspot.com/ for a blog with examples worked in SAS and R.

The comments to this entry are closed.


R for the Enterprise

Got comments or suggestions for the blog editor?
Email David Smith.
Follow revodavid on Twitter Follow David on Twitter: @revodavid

Search Revolutions Blog