[R] How to use IML with R and SAS

Frank Harrell f.harrell at vanderbilt.edu
Mon Oct 31 13:29:27 CET 2011


Following on Josh's note, it would be interesting to know what tasks the OP
is doing in SAS that would be hard to do in R.
Frank

Joshua Wiley-2 wrote:
> 
> Hi Cheryl,
> 
> Since your question is how to analyze the data and the data is being
> analyzed in SAS, my guess is that you will have to go to SAS for help
> on this (unless SAS makes a free R package that comes with a full
> distro of SAS so we can actually try IML..).  Why not just create and
> analyze the data in R?
> 
> First time seeing this:
> http://support.sas.com/rnd/app/studio/Rinterface2.html
> 
> Cheers,
> 
> Josh
> 
> On Sun, Oct 30, 2011 at 5:02 PM, Cheryl Johnson
> <johnson.cheryl625@> wrote:
>> Hello,
>>
>> I have a for loop that generates data in R. With the IML program, I would
>> like to analyze data in SAS from each iteration of the for loop in R. It
>> would be helpful if someone could explain to me how to analyze data this
>> way.
>>
>> Thanks
>>
>>        [[alternative HTML version deleted]]
>>
>> ______________________________________________
>> R-help@ mailing list
>> https://stat.ethz.ch/mailman/listinfo/r-help
>> PLEASE do read the posting guide
>> http://www.R-project.org/posting-guide.html
>> and provide commented, minimal, self-contained, reproducible code.
>>
> 
> 
> 
> -- 
> Joshua Wiley
> Ph.D. Student, Health Psychology
> Programmer Analyst II, ATS Statistical Consulting Group
> University of California, Los Angeles
> https://joshuawiley.com/
> 
> ______________________________________________
> R-help@ mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
> 


-----
Frank Harrell
Department of Biostatistics, Vanderbilt University
--
View this message in context: http://r.789695.n4.nabble.com/How-to-use-IML-with-R-and-SAS-tp3954943p3955650.html
Sent from the R help mailing list archive at Nabble.com.



More information about the R-help mailing list