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

barb@vt.edu

540-808-8800

 


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