Thanks for pointing me to the SAS code, Dr Harrell After reading codes, I have to say that the inefficiency is not related to SAS language itself but the SAS programmer. An experienced SAS programmer won't use much of hard-coding, very adhoc and difficult to maintain. I agree with you that in the SAS code, it is a little too much to evaluate predictions. such complex data step actually can be replaced by simpler iml code.
On Thu, Feb 26, 2009 at 5:57 PM, Frank E Harrell Jr <f.harr...@vanderbilt.edu> wrote: > If anyone wants to see a prime example of how inefficient it is to program > in SAS, take a look at the SAS programs provided by the US Agency for > Healthcare Research and Quality for risk adjusting and reporting for > hospital outcomes at http://www.qualityindicators.ahrq.gov/software.htm . > The PSSASP3.SAS program is a prime example. Look at how you do a vector > product in the SAS macro language to evaluate predictions from a logistic > regression model. I estimate that using R would easily cut the programming > time of this set of programs by a factor of 4. > > Frank > -- > Frank E Harrell Jr Professor and Chair School of Medicine > Department of Biostatistics Vanderbilt University > > ______________________________________________ > R-help@r-project.org 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. > -- =============================== WenSui Liu Acquisition Risk, Chase Blog : statcompute.spaces.live.com I can calculate the motion of heavenly bodies, but not the madness of people.” -- Isaac Newton =============================== ______________________________________________ R-help@r-project.org 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.
