R is very similar to Gauss for this kind of task. Try:
e1 <- x[,23] == 0 e2 <- x[,12] > 1 e3 <- x[,4] < 15 e <- e1 | e2 | e3 # e1 or e2 or e3 x <- x[!e,] # keep if NOT e
Hope that helps, Marlene
Francisco J. Bido wrote:
Hi,
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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-- PD Dr. Marlene Müller Fraunhofer ITWM Kaiserslautern, Abt. Finanzmathematik mailto:[EMAIL PROTECTED], Tel/Fax: +49 631 205 4189/4139 http://www.itwm.fhg.de/index.php?abt=fm/employees/mueller&inc=mueller
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