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
www.decisionstats.com
On Fri, Feb 27, 2009 at 4:27 AM, 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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