Ajay ohri wrote:
I would like to know if we can create a package in which r functions are
renamed closer to sas language.doing so will help people familiar to SAS
to straight away take to R for their work,thus decreasing the threshold
for acceptance - and then get into deeper understanding later.
since it is a package it would be optional only for people wanting to
try out R from SAS.. Do we have such a package right now..it basically
masks R functions to the equivalent function in another language just
for user ease /beginners
for example
creating function for means
procmeans<-function(x,y)
+ {
summary (
subset(x,select=c(x,y))
+
)
creating function for importing csv
procimport <-function(x,y)
+ {
read.csv(
textConnection(x),row.names=y,na.strings=" "
+
)
creating function fo describing data
procunivariate<-function(x)
+ {
summary(x)
+
)
regards,
ajay
Ajay,
This will generate major confusion among users of all types and be hard
to maintain. A better approach is to get Bob Muenchen's excellent book
and keep it nearby.
Frank
www.decisionstats.com <http://www.decisionstats.com>
On Fri, Feb 27, 2009 at 4:27 AM, Frank E Harrell Jr
<f.harr...@vanderbilt.edu <mailto: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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