Hello, I am trying to run a nonparametric comparison of multiple datasets (A-E).
After importing my csv file I sorted the variable value by the letter class (representing height along a streambank). a=Z[Letter=="A"] b=Z[Letter=="B"] c=Z[Letter=="C"] d=Z[Letter=="D"] e=Z[Letter=="E"] Next I tested normality and variance assumptions and the data was not normal and the variances were not equal. So I ran a kruskal wallis test. kruskal.test(Z~Y) came by with p<<0.05 for the group means not being equal. Next I loaded the npmc library library(npmc) The npmc command calls for a dataset. I think my problem lies in the following commands and how they interact with the npmc command. I also tried just one response variable and a class variable like described in the help file but received errors. dataset<-data.frame(a,b,c,d,e) npmc(dataset) Error in as.vector(x, mode) : invalid argument 'mode' > mode(dataset) [1] "list" I tried running the debug function on npmc; however, I am not much of a programmer and the code did not make much sense to me. I would appreciate any help you can give. The professor I normally contact with questions is not available. Thanks, Barb Barbra C. Utley Doctoral Candidate Biological Systems Engineering Virginia Tech [EMAIL PROTECTED] 540-808-8800 [[alternative HTML version deleted]] ______________________________________________ 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.