My code substracts the median absolute value. If you want to divide by it,
the code must be :
apply(some_dataset,2,function(
>
> x){
> x/median(abs(x))
> })
Thanks to Peter Langfelder for pointing out my mistake.
On Tue, May 25, 2010 at 6:24 PM, Joris Meys <jorism...@gmail.com> wrote:
> 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.
>>
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>>
>
>
>
> --
> 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
> -------------------------------
> Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
>
--
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
-------------------------------
Disclaimer : http://helpdesk.ugent.be/e-maildisclaimer.php
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