| To: | "'s-news@lists.biostat.wustl.edu'" <s-news@lists.biostat.wustl.edu> |
|---|---|
| Subject: | Matrix subsets of arbitrary dimension |
| From: | "Paul, David A" <paulda@BATTELLE.ORG> |
| Date: | Tue, 25 Jun 2002 18:06:28 -0400 |
Searching the S-news archive revealed a suggestion by John Fox to use
mat[is.element(mat[,1],2*1:5),]
as a way of obtaining a matrix subset of a priori unknown dimensions when
one knows the values one wishes to match. Can anyone suggest a method to
use when one knows the values one *does not* wish to match? My goal is
to be able to obtain dataframe or matrix subsets based on excluding rows
that
have undesirable values in them.
David Paul, Ph.D.
Battelle Memorial Institute
505 King Avenue
Columbus, OH 43201
614.424.3176
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