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