#is this what you want?
t <- matrix(rnorm(120), ncol=12)
(colnames(t) <- paste(rep(LETTERS[1:4], each=3), 1:3, sep="."))
f<-as.matrix(cbind(c(t[,1:3]), c(t[,4:6]), c(t[7:9]), c(t[10:12])))
colnames(f)<-paste(rep(LETTERS[1:4]))
library(prettyR)
describe(f, num.desc=c("mean", "sd"))

On Wed, Jun 18, 2008 at 10:17 AM, Daren Tan <daren76@hotmail.com> wrote:

>
> Below example has 4 sets of triplicates, without using for loop and
> iteratively cbind the columns, what is the "R-approach" of generating a
> matrix of 8 columns that are the averages and standard deviations ? The
> average and standard deviation columns should be side by side i.e. A.mean
> A.sd B.mean B.sd C.mean C.sd D.mean D.sd
>
> > t <- matrix(rnorm(120), ncol=12)> (colnames(t) <- paste(rep(LETTERS[1:4],
> each=3), 1:3, sep=".")) [1] "A.1" "A.2" "A.3" "B.1" "B.2" "B.3" "C.1" "C.2"
> "C.3" "D.1" "D.2" "D.3"
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>



-- 
Let's not spend our time and resources thinking about things that are so
little or so large that all they really do for us is puff us up and make us
feel like gods. We are mammals, and have not exhausted the annoying little
problems of being mammals.

-K. Mullis

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