[BioC] pca analysis/plotting in 3D
aedin culhane
aedin.culhane at ucd.ie
Wed Nov 26 11:49:28 MET 2003
Hi,
PCA is also quite simple using ade4.
install.package("ade4")
library(ade4)
data(rhone)
dd1 <- dudi.pca(rhone$tab, nf = 4, scann = FALSE)
scatter(dd1, sub = "Principal component analysis")
For more examples:
example(dudi.pca) # principal component analysis
example(dudi.coa) # Correspondence analysis eg: fellenberg et al., 2001
Aedin Culhane
On Wed, 2003-11-26 at 07:43, Natalie Thorne wrote:
> PCA analysis is simple enough using prcomp function from the mva R
> library. The help is quite good so you should be able to figure it out
> from there.
>
> For 3D plots try the R library package xgobi...I've used it before and its
> quite good.
>
> Natalie
>
> * * Natalie Thorne, Phd Student.
> * *
> * * Genetics and Bioinformatics Division,
> * The Walter And Eliza Hall Institute
> * * Of Medical Research (WEHI).
> * * PO Royal Melbourne Hospital, 3050
> * * PH: +61 3 9345 2631
> * Fax: +61 3 9347 0852
> * * URL http://bioinf.wehi.edu.au
> * *
> * * Mathematics and Statistics Department,
> * The University of Melbourne
> * * Fax: +61 3 9344 4599
> * *
> * *
> * CRC for discovery of genes for common
> * * human diseases.
> * *
> * * Email : thorne at wehi.edu.au
>
> On Wed, 26 Nov 2003, Anthony Bosco wrote:
>
> > Hi.
> >
> > I am interested in doing pca analysis on affymetrix data and ploting
> > 3 components (in 3-D).
> >
> > Does anyone know how to do this?
> >
> >
> > Regards
> >
> >
> > Anthony
> >
> > --
> > ______________________________________________
> >
> > Anthony Bosco - Cell Biology Research Assistant
> >
> > Institute for Child Health Research
> > (Company Limited by Guarantee ACN 009 278 755)
> > Subiaco, Western Australia, 6008
> >
> > Ph 61 8 9489 , Fax 61 8 9489 7700
> > email anthonyb at ichr.uwa.edu.au
> >
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--
Aedin Culhane
Conway Institute
University College Dublin
Belfied, Dublin 4
Ireland
Phone: +353 (0)1 7166834
Fax: +353 (0)1 7166701
Email: Aedin.Culhane at ucd.ie
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