Herbejie Rose,

You could use the boot() function in the R package boot.  For example:

# example data matrix
m <- matrix(sample(11*10), ncol=10)

# function to calculate column means for indexed rows of matrix
myfun <- function(data, i) {
apply(data[i, ], 2, mean)
}

# 1000 bootstrap samples
library(boot)
myboot <- boot(m, myfun, R=1000)
myboot
dim(myboot$t)

Jean



On Tue, Apr 23, 2013 at 10:41 AM, Herbejie Rose Cuizon <
herbejierose@gmail.com> wrote:

> Good evening! This is Herbejie Rose
>
> I need your help for me to compute the following:
>
> I just want to ask on how to bootstrap a 11x10 matrix  to obtain 1000
> bootstrap samples and compute the 10 dimensional mean per bootstrap sample.
> the 11x10 dimension of the matrix has 11 subjects and 10 variables. Just
> want to have 11x10 per bootrap sample with replacement and compute the 10
> dimensional mean.
>
>
> Hope to have a positive response on this matter..
>
>
> Thank you so much.
>
>
>
> Sincerely yours,
>
>
> Herbejie Rose
>
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>
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