What is the original intent? The bandwidth:productivity ratio is not
looking encouraging for this problem.
Frank
On 07/13/2010 12:38 PM, schuster wrote:
Hello,
are you trying to pase SAS code (or lightly modified SAS code) and run it in R?
Then you are right: the hard part is parsing the c
Hello,
are you trying to pase SAS code (or lightly modified SAS code) and run it in R?
Then you are right: the hard part is parsing the code. I don't believe that's
possible without a custom parser, and even then it's really hard to parse all
the SAS "sub languages" right: data step, macro c
On 13/07/2010 8:39 AM, Roger Deangelis wrote:
Thanks Richard and Erik,
I hate to buy the book and not find the solution to the following:
proc.means <- function() {
deparse(match.call()[-1])
}
proc.means(this is a sentence)
unexpected symbol in "proc means(this is)
One possible so
Thanks Richard and Erik,
I hate to buy the book and not find the solution to the following:
proc.means <- function() {
deparse(match.call()[-1])
}
proc.means(this is a sentence)
unexpected symbol in "proc means(this is)
One possible solution would be to 'peek' into the memory buffer
Please get a copy of
R for SAS and SPSS Users
*by*
*Muenchen*, Robert A.
http://www.springer.com/statistics/computanional+statistics/book/978-0-387-09417-5
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On 07/12/2010 07:16 PM, Roger Deangelis wrote:
Hi,
I am new to R.
I am trying to create an R function to do a SAS proc means/summary
proc.means ( data=bsebal;
class team year;
var ab h;
output out=BseBalAvg mean=;
Hi,
I am new to R.
I am trying to create an R function to do a SAS proc means/summary
proc.means ( data=bsebal;
class team year;
var ab h;
output out=BseBalAvg mean=;
run;)
I have a solution if I quote the the
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