>>>>> "ac" == array chip <[EMAIL PROTECTED]> >>>>> on Thu, 15 Nov 2007 22:50:23 -0800 (PST) writes:
ac> Thanks for suggestion. the dlda() function in supclust ac> only outputs the class prediction without details of the ac> model and the posterior probabilities like the lda() ac> function in MASS. Is there an equivalent to the lda() ac> for diagonal linear discriminant analysis? "equivalent" probably not; but when working/testing/... with the maintainer of the 'supclust' package, mentioned below, I found it useful to add dDA() diagDA() to package 'sfsmisc' ---> install.packages("sfsmisc") library(sfsmisc) ?diagDA and that help page mentions that these are just improvements of earlier code of Sandrine Dudoit and Jane Fridlyand Martin Maechler, ETH Zurich ac> Thanks ac> --- Weiwei Shi <[EMAIL PROTECTED]> wrote: >> supclust >> >> On 11/9/07, array chip <[EMAIL PROTECTED]> wrote: > >> Hi is there a package for diagonal linear discriminant > >> analysis (diagonal LDA)? >> > >> > Thanks >> > >> > ______________________________________________ > >> R-help@r-project.org mailing list > >> https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do >> read the posting guide >> http://www.R-project.org/posting-guide.html > and provide >> commented, minimal, self-contained, reproducible code. >> > >> >> >> -- >> Weiwei Shi, Ph.D Research Scientist GeneGO, Inc. >> >> "Did you always know?" "No, I did not. But I >> believed..." ---Matrix III >> ____________________________________________________________________________________ ac> Be a better sports nut! Let your teams follow you with ac> Yahoo Mobile. Try it now. ac> http://mobile.yahoo.com/sports;_ylt=At9_qDKvtAbMuh1G1SQtBI7ntAcJ ac> ______________________________________________ ac> R-help@r-project.org mailing list ac> https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do ac> read the posting guide ac> http://www.R-project.org/posting-guide.html and provide ac> commented, minimal, self-contained, reproducible code. ______________________________________________ R-help@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.