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...ke: SUM (log(1+(resid(.)/quantile(all_residuals,0.68))^2)) / SUM (resid(.)) the test data I use : x<-seq(-5,-2,length=50) x<-rep(x,4) y<-SSfpl(x,0,100,-3.5,1) y<-y+rnorm(length(y),sd=5) y[sample(1:length(y),floor(length(y)/50))]<-200 # add 2% outliers at 200 thanks a lot Hans Vermeiren [[alternative HTML version deleted]]

Dear R-wizards, I'm trying to plot "binned scatterplots", or 2d histograms, if you wish, for a number of groups by using the lattice functionality it works fine for one group at a time, and probably I could find a work-around, but I prefer to do it the elegant way here's an example of what I want, what I tried and where it goes wrong: require(gregmisc) require(lattice) #toy

...) but it seems to me that a standard error of 0.4 on a mean of 1.2 is too big, so I trust the values we get with the older versions more Has anyone suggestions on - how to solve these discrepancies, if possible - how to calculate which one of the 2 solutions is the correct one? Thanks a lot, Hans Vermeiren Demo (on a windows machine, while the issue was actually discovered on our ubuntu linux server): 1) sessionInfo() R version 2.7.0 (2008-04-22) i386-pc-mingw32 locale: LC_COLLATE=Dutch_Belgium.1252;LC_CTYPE=Dutch_Belgium.1252;LC_MONETARY=Du tch_Belgium.1252;LC_NUMERIC=C;LC_TIME=Dutch_Belgium.125...

Hello, I have a classification tree. I want to obtain a ROC curve for this test. What is the easiest way to obtain one? -Anjali --------------------------------- [[alternative HTML version deleted]]