I am translating some Gauss code to R. Gauss has an interesting way of handling constraints. Observe the following code snipplet:
e1 = x[.,23] .eq 0; @ remove obs with Regular Hours = 0 @
e2 = x[.,12] .gt 1; @ remove obs with non-regular work status @
e3 = x[.,4] .lt 15; @ remove obs with agricultural and mining industry code (< 15)@
esum = e1 + e2 + e3;
e = esum .gt 0; @ remove obs that fail all three of the above tests @
x = delif(x,e);
I'm hoping that the above is self explanatory. Currently I am using the "subset" command in R to compute e1, e2, e3 but the rest is tricky: the actual code has several additional constraints and I'm ending up with some very ugly buggy code. Is there a straightforward way to do this in R?
Thanks, -Francisco
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