Displaying 1 result from an estimated 1 matches for "normalmultivariantecomparefunc".
2011 Nov 16
2
outlier identify in qqplot
Dear Community,
I want to identify outliers in my data. I don't know how to use identify
command in the plots obtained.
I've gone through help files and use mahalanobis example for my purpose:
NormalMultivarianteComparefunc <- function(x) {
Sx <- cov(x)
D2 <- mahalanobis(x, colMeans(x), Sx)
plot(density(D2, bw=.5), main="Squared Mahalanobis distances, n=nrow(x),
p=ncol(x)")
rug(D2)
qqplot(qchisq(ppoints(nrow(x)), df=ncol(x)), D2,
main = expression("Q-Q plot of Mahalanobis" * ~D...