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]]


