[R] Inefficiency of SAS Programming
thomas.levine at gmail.com
Fri Feb 27 15:45:05 CET 2009
I had enrolled in a statistics course this semester, but after the
first class, I dropped it because it uses SAS. This thread makes me
On Fri, Feb 27, 2009 at 8:48 AM, Frank E Harrell Jr
<f.harrell at vanderbilt.edu> wrote:
> 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.
>> On Thu, Feb 26, 2009 at 5:57 PM, Frank E Harrell Jr
>> <f.harrell at vanderbilt.edu> wrote:
>>> If anyone wants to see a prime example of how inefficient it is to
>>> 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
>>> time of this set of programs by a factor of 4.
>>> Frank E Harrell Jr Professor and Chair School of Medicine
>>> Department of Biostatistics Vanderbilt University
>>> R-help at r-project.org mailing list
>>> PLEASE do read the posting guide
>>> and provide commented, minimal, self-contained, reproducible code.
> Frank E Harrell Jr Professor and Chair School of Medicine
> Department of Biostatistics Vanderbilt University
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
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