| To: | S-news <s-news@lists.biostat.wustl.edu> |
|---|---|
| Subject: | vectorizing |
| From: | Ita Cirovic <zag_cirovic@yahoo.com> |
| Date: | Fri, 27 Jul 2007 01:45:31 -0700 (PDT) |
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Hi, I have the following code and I am trying to use apply functions to get rid of the for loops, so far I have the following. Any suggestions about the remaining for loop as this takes a bit long given that x has around 15000 observations. Thanks. # original for (i in 1:length(x)){ # x is a matrix for (j in 1:length(x[,1]){ wx[j] <- max(min(x[j,],up[i]),lb[i]) wr[j,i] <- wx[j] } } # replaced one for loop with apply wr <- apply(x,2,function(x){ for (i in 1:length(x)) max(min(x,up[i]),lb[i]) }) where up and lb are vectors of length the same as x matrix. Ready for the edge of your seat? Check out tonight's top picks on Yahoo! TV. |
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