3 Apr 14:37
Re: missing data in PCA
Dear Jari, Thanks for the hints. A package such as mvnmle would be ideal, but it provides only the estimate of the covariance matrix, not the raw data. However, comments like princomp and pca require the raw data. Do you (or anyone else) know a command to do PCA straight from a covariance matrix? best, Jason ________________________________ From: Jari Oksanen <jari.oksanen@...> Cc: Jari Oksanen <jari.oksanen@...>; r-sig-ecology@... Sent: Friday, April 3, 2009 2:55:20 AM Subject: Re: [R-sig-eco] missing data in PCA On 03/04/2009, at 00:32 AM, Jason S wrote: > > Dear all, > > I was wondering if you have good options to deal with missing data on a PCA in R. I guess I could simply delete those cases, but I think there should be better options in terms of predicting them. Any hints? > Howdy, There may be better ways, but they are not easy... Check paragraph on missing data in multivariate task(Continue reading)
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