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.
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