[R] How should i change the SAS Codes into R Codes?

[John Kane]

 I see Matt Aldridge has given you the answers to your specific questions.   

If you are used to using SAS you might find Bob Meunchen's book "Muenchen, R. A. (2008). R for SAS and SPSS Users (1st ed.). Springer." useful.  A shorter version is available as a pdf at http://rforsasandspssusers.com/.  The pdf is a very useful guide for anyone beginning to use R.

--- On Mon, 7/27/09, zhijie zhang <rusers.sh at gmail.com> wrote:

> From: zhijie zhang <rusers.sh at gmail.com>
> Subject: [R] How should i change the SAS Codes into R Codes?
> To: r-help at stat.math.ethz.ch
> Received: Monday, July 27, 2009, 11:03 AM
> Dear R users,
>   I have a SAS codes with several loops in it, and i
> hope to use R to do the
> same task. The SAS codes are as follows,
> /*to generate the dataset*/
> DATA Single_Simulation;
>  DO se=0 to 1 by 0.01;
>   DO sp=0 to 1 by 0.01;
>    DO DR=0 to 1 by 0.01;
>     TR=(DR+sp-1)/(se+sp-1+1.0e-12);
>     Adjust_Factor=TR/(DR+1.0e-12);
>     OUTPUT;
>    END;
>   END;
>  END;
> RUN;
> 
> /*to select some data*/
> DATA sampledata;
>  SET Single_Simulation;
>  IF DR=0.02 & sp=1;
> RUN;
> 
> #I tried the following codes with R,failed
> num<-seq(0, 1, by = 0.01)
> for (se in num) {
>  for (sp in num) {
>    for (DR in num) {
>     TR=(DR+sp-1)/(se+sp-1+1.0e-12)
>     Adjust_Factor=TR/(DR+1.0e-12)
>   }
>  }
> }
> 
> My questions are,
> 1. What is the correct codes for R to do the similar task?
> 2. Sometimes, the simulated dataset are very large, so i
> need to put the
> generated dataset in a file with large disk place, not in
> the memory, how to
> do it? SAS can do it with the 'libname' argument,  do
> R have the similar
> method?
>   Thanks a lot.
> 
>     [[alternative HTML version deleted]]
> 
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