-----Original Message-----
From: Gerard M. Keogh [mailto:gmke...@justice.ie]
Sent: Monday, March 02, 2009 3:22 AM
To: Greg Snow
Cc: Frank E Harrell Jr; R list; r-help-boun...@r-project.org
Subject: Re: [R] Inefficiency of SAS Programming
Yes Greg,
but if you're buying SAS they'll throw in IML pretty cheaply - SAS
think
it's only for a few nerds out there who wan to do funny stuff.
G
Greg Snow
<greg.s...@imail.
org>
To
Sent by: "Gerard M. Keogh"
r-help-boun...@r- <gmke...@justice.ie>, Frank E
project.org Harrell Jr
<f.harr...@vanderbilt.edu>
cc
27/02/2009 19:05 "r-help-boun...@r-project.org"
<r-help-boun...@r-project.org>,
R
list <r-h...@stat.math.ethz.ch>
Subject
Re: [R] Inefficiency of SAS
Programming
But SAS/IML is not part of base SAS, it costs extra, so there is a good
chance that a user that has SAS will not be able to run code that uses
SAS/IML.
I have known of SAS programmers who know IML well that still write
matrix/vector tools using macros or proc transpose so that a user
without
IML can still use the code (the fact that the code that started this
thread
was found on a website, suggests that it was meant for general use
rather
than something only used internally where you know what add-ons will be
available).
Just another way that R makes life easier for both programmer and user.
--
Gregory (Greg) L. Snow Ph.D.
Statistical Data Center
Intermountain Healthcare
greg.s...@imail.org
801.408.8111
-----Original Message-----
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-
project.org] On Behalf Of Gerard M. Keogh
Sent: Friday, February 27, 2009 7:19 AM
To: Frank E Harrell Jr
Cc: r-help-boun...@r-project.org; R list
Subject: Re: [R] Inefficiency of SAS Programming
Yes Frank, I accept your point but nevertheless IML is the proper
place
for
matrix work in SAS - mixing macro-level logic and computation is
another
question - R is certainly more seemless in this respect.
Gerard
Frank E Harrell
Jr
<f.harr...@vander
To
bilt.edu> "Gerard M. Keogh"
<gmke...@justice.ie>
27/02/2009 13:55
cc
R list <r-
h...@stat.math.ethz.ch>,
r-help-boun...@r-project.org
Subject
Re: [R] Inefficiency of SAS
Programming
Gerard M. Keogh wrote:
Frank,
I can't see the code you mention - Web marshall at work - but I
don't
think
you should be too quick to run down SAS - it's a powerful and
flexible
language but unfortunately very expensive.
Your example mentions doing a vector product in the macro language
-
this
only suggest to me that those people writing the code need a crash
course
in SAS/IML (the matrix language). SAS is designed to work on
records
and
so
is inapproprorriate for matrices - macros are only an efficient
code
copying device. Doing matrix computations in this way is pretty mad
and
the
code would be impossible never mind the memory problems.
SAS recognise that but a lot of SAS users remain familiar with IML.
In IML by contrast there are inner, cross and outer products and a
raft
of
other useful methods for matrix work that R users would be familiar
with.
OLS for example is one line:
b = solve(X`X, X`y) ;
rss = sqrt(ssq(y - Xb)) ;
And to give you a flavour of IML's capabilities I implemented a SAS
version
of the MARS program in it about 6 or 7 years ago.
BTW SPSS also has a matrix language.
Gerard
But try this:
PROC IML;
... some custom user code ...
... loop over j=1 to 10 ...
... PROC GENMOD, output results back to IML
...
IML is only a partial solution since it is not integrated with the
PROC
step.
Frank
Frank E Harrell
Jr
<f.harr...@vander
To
bilt.edu> R list <r-
h...@stat.math.ethz.ch>
Sent by:
cc
r-help-boun...@r-
project.org
Subject
[R] Inefficiency of SAS
Programming
26/02/2009 22:57
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
______________________________________________
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.
______________________________________________
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.
