With more than 5,000 R packages now available (from the CRAN and BioConductor repositories), for any statistical or data analysis procedure you can confidently say, "there's a package for that". To make it easier for SAS and SPSS users to find what they need in R, Bob Muenchen has updated his useful table of equivalent R packages for SAS and SPSS add-ons. For example, if you're doing conjoint analysis, the equivalent packages are:

Conjoint Analysis

Other categories of analysis include Operations Research, Power Analysis, Correspondence Analysis,& Structural Equation Modeling, Text Mining, Association Analysis , and many more. Note this only covers methods included in add-ons to SAS and SPSS, so some base-level functionality like survival analysis and mixed-effects modeling (also available for R), aren't listed here.

For the full list of R equivalents to SAS and SPSS add-ons, follow the link below.

r4stats.com: Add-ons

This is nice. Even nicer would be a list of matching SAS and R codes and identifying what is still missing (eg. Satterwaitte and KR corrections in mixed-effects models)

Posted by: Petr Simecek | April 28, 2012 at 02:28

You can find some of that on our SAS and R blog, wiki, and book:

sas-and-r.blogspot.com

http://kenkleinman.net/sasrwiki

http://www.math.smith.edu/sasr

Posted by: Ken Kleinman | April 28, 2012 at 12:04

I am agree with you.But i try a conjoint analysis software for marketing survey-lasir.I like it.Once try it.

Posted by: john | May 20, 2012 at 21:39