Hello, I am trying to use the cov.mve function on a set of variables to check for outliers, before I perform PCA on them. I am using the code that I found on "Everitt (2005) An R ans S-Plus companion to multivariate analysis" but its doesn't seem to work. I wrote:
at.central<-central[,7:17] # 7:17 are the 10 variables that I want to screen for outliers at.central.mve<-cov.mve(central, cor=T) I also tried what the help file says to do: at.central.mve<-cov.rob(central, cor=T, method="mve") Both give me the error: Error in quantile.default(as.numeric(x), c(0.25, 0.75), na.rm = na.rm, : missing values and NaN's not allowed if 'na.rm' is FALSE In addition: Warning message: In quantile(as.numeric(x), c(0.25, 0.75), na.rm = na.rm, names = FALSE) : NAs introduced by coercion My dataset has no NAs, so what does this mean?? Something to do with the "quantile.used=" argument? Thanks in advance for your time, Agnese ______________________________________________ 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.
