[R] statistical modelling SAS vs R

From: Bill Szkotnicki <bszk_at_uoguelph.ca>
Date: Sat 04 Feb 2006 - 03:22:49 EST


Recently I have been reading a lot of material about statistical modeling using R. There seems to be conflicting opinions about what the best approach is between the SAS community and the R community. 1) In R one might start with a model that has all possible effects of interest in it and then simplify by eliminating/adding insignificant effects using a stepwise procedure.
2) In SAS one may starts with a "reasonable" model and look at type 3 SS's to test hypotheses and report LSMEANS. This can be done in R too I think.

Does anyone have current opinions about this? I know it's been discussed before but I would be very interested in hearing about the advantages and pitfalls of both approaches.


R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Sat Feb 04 03:28:32 2006

This archive was generated by hypermail 2.1.8 : Fri 03 Mar 2006 - 03:42:22 EST