On Mon, 24 May 2004, Stefanie von Felten wrote: > I have done different discriminant function analysis of multivariat
Using lda in contributed package MASS, uncredited. > data. With the CV=True option I was not able to perform the predict() > call. What do I have to do? Or is there no possibility at all? You also It makes no sense. You ask for LOO cross-validation, and that is n separate fits, not a single fit from which you can predict. > need the predicted values to produce a plot of the analysis, as far as I > know. > > Here my code: > > pcor.lda2<-lda(pcor~habarea+hcom+isol+flowcov+herbh+inclin+windprot+shrubcov+baregr, > data=pcor.df, CV=T) > table2<-table(pcor.df$pcor, pcor.lda2$class) > table2 > > #doesn't work, becoause CV=True? > pcor.ld2<-predict(pcor.lda2, dimen=1)$x > plot(pcor.ld2) > plot(pcor.lda2, type="density", dimen=1) #kernel density estimates > > I am happy if I get an answer from somebody! -- Brian D. Ripley, [EMAIL PROTECTED] Professor of Applied Statistics, http://www.stats.ox.ac.uk/~ripley/ University of Oxford, Tel: +44 1865 272861 (self) 1 South Parks Road, +44 1865 272866 (PA) Oxford OX1 3TG, UK Fax: +44 1865 272595 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
