Amit, thank you for the answer. Do you think computed explained variance from prcomp will fit to ICA? Pavel On Tue, Feb 22, 2011 at 10:48 PM, amit mandal <amit491@gmail.com> wrote: > hi, > If you want to know how much variance is explained by all of your > components/ varaibles, then you can do a PCA in R (*prcomp* function). > Like it can explain how much of variation, among the samples, is explained > by all genes together; interpreted from the PC1 and PC2 returned. > I am not sure whether the package FastICA has facility to do such. I > haven't used it. > > > best, > > amit m > > Graduate student > IGIB, Delhi > > On Wed, Feb 23, 2011 at 1:59 AM, Pavel Goldstein <dao4free@gmail.com>wrote: > >> Hello, >> I think to use FastICA package for microarray data clusterization, >> but one question stops me: can I know how much variance explain each >> component (or all components together) ? >> I will be very thankful for the help. >> >> Thanks, >> >> Pavel >> >> [[alternative HTML version deleted]] >> >> _______________________________________________ >> Bioconductor mailing list >> Bioconductor@r-project.org >> https://stat.ethz.ch/mailman/listinfo/bioconductor >> Search the archives: >> http://news.gmane.org/gmane.science.biology.informatics.conductor >> > > > > > [[alternative HTML version deleted]]