R help - Jan 2010 - bootstrapping a matrix and calculating Pearson's correlation coefficient

Hi All,
I have got matrix 'data' of dimension 22000x600. I want to make 50
independent samples of dimension 22000x300 from the original matrix
'data'.
And then want to calculate pearsons CC for each of the obtained 50 matrices.
It seems it is possible to do this using 'boot' function from library
boot
but I am not able to figure out how? I am really stuck. Please help!

Best
Lee

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Hello

On 1/5/10, Lee William <leeonweb at gmail.com>
wrote:
>  I have got matrix 'data' of dimension 22000x600. I want to make 50
>  independent samples of dimension 22000x300 from the original matrix
'data'.
>  And then want to calculate pearsons CC for each of the obtained 50
matrices.
>  It seems it is possible to do this using 'boot' function from
library boot
>  but I am not able to figure out how? I am really stuck. Please help!
>
Initially consider constructing the bootstrap function on a much
smaller scale, with dummy data. For a dummy example on bootstrapping,
see one of my old posts [1]. Also, check this Quick-R page [2] and the
links at the bottom of the page for various explanations on the
procedure.
Liviu

[1] http://www.mail-archive.com/r-help at r-project.org/msg65667.html
[2] http://www.statmethods.net/advstats/bootstrapping.html