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Hi! I tested two different implementations of the robust MCD estimator: cov.mcd from the MASS package and covMcd from the rrcov package. Tests were done on the hbk dataset included in the rrcov package. Unfortunately I get quite differing results -- so the question is whether this differences are justified or an error on my side or a bug? Here is, what I did: > require(MASS) >

...oint data (FLAG=0) and the distribution(FLAG=1). Here is the code i am using in R: stripplot( variable~value, conf(RunlogBootCL), groups=FLAG, panel=panel.superpose, panel.groups=function(x,y, group.number, ...){ if(group.number==1)panel.xyplot(x,y, group.number...) else if(group.number==0)panel.covplot(x,y, group.number...)}, ref=1, cex = 0.5, col="black", main='Covariate Effects on Clearance', xlab='relative clearance', fill='transparent' ) For some reason I can only get one or the other to plot!! (points or distributions). Can you please direct me to my error?...

Hi, I used to get a really useful graph when I ran the following command using the MASS library: > cov.rob(cbind(dekeyser$AGE,dekeyser$GJTSCORE),cor=T) Besides the regular output, a graph appeared that had the classical correlation and the robust correlation, and two ellipses, one surrounding the data that would be used in the classical correlation and the other surrounding the data in the

...t so I wanted to post a response to my own question. Thanks to Brian Ripley for his hint, which got me looking in the right direction. The plot I had seen before that I wanted was automatic output to the cor.plot command in the mvoutlier library. A similar tolerance ellipse can be obtained from the covPlot command in the robustbase library, using which="tolEllipsePlot" and classic=T. Dr. Jenifer Larson-Hall Assistant Professor of Linguistics University of North Texas (940)369-8950