[R] (no subject)

PIKAL Petr petr.pikal at precheza.cz
Mon Jul 15 09:28:33 CEST 2013


Most methods can somehow deal with NA values. You can find many packages regarding discriminant analysis by simply searching CRAN. 

discriminant analysis site:r-project.org

Or you can look to CRAN task view Multivariate statistics

maybe package pls or DiscriMiner does what you want.

You can also get rid of NA values by using



However I am a bit worried by your number of variables.


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of kiran subedi
> Sent: Monday, July 15, 2013 4:51 AM
> To: r-help at r-project.org
> Subject: [R] (no subject)
> Hi,
> I am a researcher in chemistry. I have to do pls-da for some of my
> samples.
> The number of variables for my sample is 4000 . The categorical
> variable has two classes. Some of the values are missing (cant find
> out).
> I s there any package for R (or any illustration that would be helpful)
> to perform PLS-DA in R by ignoring the missing values.
> Thank you
> kiran
> 	[[alternative HTML version deleted]]
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