Wensui Liu wrote:
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.
Agreed that the SAS code could have been much better. I programmed in
SAS for 23 years and would have done it much differently. But you will
find that the most elegant SAS program re-write will still be a far cry
from the elegance of R.
Frank
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
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--
Frank E Harrell Jr Professor and Chair School of Medicine
Department of Biostatistics Vanderbilt University
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