Dear all
When plotting the results of lda and predict.lda, I expect the axis
dimensions to remain essentially the same - predict.lda projects new
observations onto linear discriminants. However, I am getting different
ranges of values along the x-axis when producing plots following each:
plot(lda) yields values in the range approximately -3 to +4, while
plot(predict.lda) yields values for the first linear discriminant in the
range approximately +4 to +10 (the commands follow). Could anybody suggest
what is happening here? (I can attach files with plots separately if
requested).
Regards
Mat Vanderklift
> library(MASS)
> Sep04 <- read.table("Sep04 dataframe.txt", header=TRUE)
> trainSep04 <- Sep04[1:125,]
> Sep04.lda <- lda(Reef ~ ., trainSep04, prior=c(1,1,1,1,1,1,1)/7)
> plot(Sep04.lda, dimen=2)
> predict.Sep04 <- predict(Sep04.lda, Sep04)
> plot(predict.Sep04$x[1:125,], main="September 2004", xlab="first linear
discriminant", ylab="second linear discriminant")
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