Hello: [Kindly Cc when replying]
The question in a nutshell is this: Is there a more robust alternative to Ecdf ()? The details: I've used Ecdf () _a lot_ over the past few years and I have learned to live with its warnings. But I am running short on time and patience now [*] Here is a reproducible example: > library (Hmisc) > x <- read.csv ( file = 'http://www.stat.osu.edu/~pkapat/miscl/Data4Ecdf.csv') > table (x[, c('X1','X2')]) X2 X1 A B 6 0 1 13 7 20 15 13 26 16 13 13 17 10 19 18 12 10 As you can see (X1=6,X2=A) is a degenerate cell and (X1=6,X2=B) is "near" degenerate! So, errors/warnings are certainly expected while dealing with these, as seen here: > Ecdf (~Y|X2, groups=X1, data=x) > Ecdf (~Y|X2, groups=X1, data=x, label.curves=FALSE) Hence the question: Is there a robust function which can ignore such degenerate (and/or "near" degenerate) cells and be able to plot the rest. Any help is certainly appreciated. -- Prasenjit PS: [*] Ow I could spend a day/two to hack panel.Ecdf and/or prepanel.Ecdf for the purpose :( But making sure that the hacked code is bug-free would be more time consuming ;) ______________________________________________ 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.
