Thanks for all your help and the time you spent. It is now my turn to find my way. Maybe it is enough to have the Correlations.
Final remark: Both of your examples work and in the first case are only a few standard errors missing. Unfortunately its not my whole dataset Mark Difford wrote: > > ## The first fails; the second works > hetcor(TestPart[,c(1:11,13:22,24:43,45:60)], pd=T, std.err=F) > hetcor(TestPart[,c(1:72)], pd=F, std.err=F) > > Mark Difford wrote: > > Hi Birgitle, > >>> It seems than, that it is not possible to use all variables without >>> somehow >>> imputing missing values. > > It depends on what you are after. You can use the full data set if you set > std.err=F and pd=F. Then exclude the columns that cause it to falter and > redo with SEs turned on. You have the correlations; all you lack are SEs > for ca. 5 columns. > > And I haven't tried your revised classification; that's for you to do. > > Regards, Mark. > > ----- The art of living is more like wrestling than dancing. (Marcus Aurelius) -- View this message in context: http://www.nabble.com/Problems-using-hetcor-%28polycor%29-tp18867343p18871415.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.
