search for: lda2

...e different discriminant function analysis of multivariat 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 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)...

Hi, I am using the lda function from the MASS library. I would to find the decision boundaries of each class and subsequently plot them. I wonder if anybody can offer any help on this topic? Below I applied the lda function on a small dataset of mine. Any help will be much appreciated. > library(MASS) >

Hi R experts. I performed an Linear Discriminant Analysis (lda) and now I want to plot the first two axes (LDA1 and LDA2). Well MASS package have the plot.lda and pairs.lda to do that. But, they don’t let me personalize them, once they don’t accept the type=’n’ plot. So I start looking at the lda object properties, trying to found out my groups (n=4) axis coordinates, curiously I couldn’t. There is only the variables...