Hi folks, sorry if this has been answered before, I searched long and hard before deciding to make a thread.
I'm trying to include multiple variables in a non-parametric analysis (hah!). So far what I've managed to figure out is that the NPMC package from CRAN MIGHT be able to do what I need, but I can't get it to. First I created a dataset as NPMC calls for. > Ind=Individual | <- predictor > D=Day | <- predictor > S=Sex | <- predictor > hand = handlingtotal | <- response > occy.df<-data.frame(hand,Ind,D,S) Then I checked the classes of each variable (factor, integer, factor, numeric from top to bottom). Ok, go! > npmc(occy.ds) But alas, I get this error: Error in `$<-.data.frame`(`*tmp*`, "class", value = integer(0)) : replacement has 0 rows, data has 48 I thought maybe this was a problem to do with Day being an integer (seeing as it mentions integer in the error message), but no dice. Can any R-guru's out there please share their wisdom and apply some magic to solving this problem? The world of non-parametric analysis is somewhere I didn't willingly blunder into, but now that I'm here I'm in over my head, and any help you can throw my way would be super super appreciated. Kind regards, Dean. -- View this message in context: http://r.789695.n4.nabble.com/NPMC-replacement-has-0-rows-multiple-comparisons-tp3316788p3316788.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ 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.
