Re: [R] Normalization and missing values

From: WeiWei Shi <helprhelp_at_gmail.com>
Date: Thu 14 Apr 2005 - 04:36:00 EST

the way of scaling, IMHO, really depends on the distribution of each column in your original files. if each column in your data follows a normal distrbution, then a standard "normalization" will fit your requirement.

My previous research in microarray data shows me a simple "linear standardization" might be good enough for some purpose.

If your columns differ in magnitude, then some data transformation like (log) might be needed first.

Ed

On 4/13/05, Achim Zeileis <Achim.Zeileis@wu-wien.ac.at> wrote:
> On Wed, 13 Apr 2005 14:33:25 -0300 (ADT) Rolf Turner wrote:
>
> >
> > Bert Gunter wrote:
> >
> > > You can't expect statistical procedures to rescue you from poor
> > > data.

> >
> > That should ***definitely*** go into the fortune package
> > data base!!!
>
> :-) added for the next release.
> Z
>
> > cheers,
> >
> > Rolf Turner
> > rolf@math.unb.ca
> >
> > ______________________________________________
> > R-help@stat.math.ethz.ch mailing list
> > https://stat.ethz.ch/mailman/listinfo/r-help
> > PLEASE do read the posting guide!
> > http://www.R-project.org/posting-guide.html
> >
>
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R-help@stat.math.ethz.ch mailing list
https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html Received on Thu Apr 14 04:43:56 2005

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