What kind of normalization do you want to do?
If you want to divide all columns by the median absolute value, try :

apply(some_dataset,2,function(x){
   x-median(abs(x))
})

also look at ?scale for normalization using the average and the sd.
Cheers
Joris

On Tue, May 25, 2010 at 6:01 PM, cobbler_squad <la.f...@gmail.com> wrote:

>
> Dear all,
>
> I have a file with 57 columns (671 time points in each column)
>
> File looks like this:
> 1    0.279191   -1.203200e-02   -0.166772  6.12080e-02  0.196379
> 4.591900e-02  0.293689
> 2    0.267017   -1.150700e-02   -0.159463  5.85400e-02  0.187775
> 4.392200e-02  0.280854
> 3    0.053778   -2.322000e-03   -0.032103  1.18490e-02  0.037921
> 8.867000e-03  0.056571
> 4    0.035469   -1.531000e-03   -0.021166  7.79200e-03  0.024937
> 5.843000e-03  0.037273
> 5    0.040774   -1.761000e-03   -0.024342  8.96000e-03  0.028674
> 6.726000e-03  0.042910
> 6   -0.359709    1.547400e-02    0.214844 -7.87320e-02 -0.253034
> -5.905100e-02 -0.378322
>
> I need to normalize it -- is it possible?
>
> I looked into normalize columns of a matrix to have the median absolute
> value in R, but I am not sure how to apply it in this case. Would very much
> appreciate any input you could give me..
>
> Thank you all in advance,
>
> Cobbler
> --
> View this message in context:
> http://r.789695.n4.nabble.com/File-normalization-tp2230251p2230251.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help@r-project.org mailing list
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> PLEASE do read the posting guide
> http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
>



-- 
Joris Meys
Statistical Consultant

Ghent University
Faculty of Bioscience Engineering
Department of Applied mathematics, biometrics and process control

Coupure Links 653
B-9000 Gent

tel : +32 9 264 59 87
joris.m...@ugent.be
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