(no subject)
James, I think you want to try using index vectors. index <- c(1:length(x)) negs <- index[x<0] nonnegs <- index[x>=0] Then, if you want the negative values, just use negativevalues <- x[negs] HTH steve
Jmshttn at aol.com wrote:
Dear Mailing List,
If I wanted a data set of twenty standard normal results, I would type:
x<-rnorm(20)
If I then wanted to make all the negative results in that data set to be
listed as zero I would then type in:
x[x<0]<-0
However, I now want to discard the values that are zero, but I want to know
which values out of the original data set which I truncated to zeros I
discarded. How is the best way of doing this? Do I use match(x,0) /
(1:length(x))[x==0] ? How do I discard the values as well as wanting the
original data set values. All suggestions would be greatly appreciated.
Thank you,
James Hutton
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