On Sat, 19 Aug 2006, [EMAIL PROTECTED] wrote:
> Dear all,
>
> I have a question about how to get a matrix by combining a large number of
> columns from a data file. Suppose I read a file which have 1000 columns
> by:
>
> test = read.table("dat.txt", header=F)
>
> I know I could use "cbind()". It's easy to do when the number of columns
> is small (i.e. cbind(test$V1, test$V2)). But how about build a matrix "X"
> by combine the first 500 columns. Is there an easy way to write the
> expression?
as.matrix(test[1:500])
Or read the data as a matrix in the first place, using scan (as
recommended on the help page for read.table *and* the relevant manual).
--
Brian D. Ripley, [EMAIL PROTECTED]
Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/
University of Oxford, Tel: +44 1865 272861 (self)
1 South Parks Road, +44 1865 272866 (PA)
Oxford OX1 3TG, UK Fax: +44 1865 272595
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