Hi,

Could someone please tell me how to perform a Mann-Whitney U test on a 
dataset with 2 groups where one group has more data values than another?

I have split up my 2 groups into 2 columns in my .txt file i'm using with 
R. Here is the code i have so far...

group1 <- c(LeafArea2)
group2 <- c(LeafArea1)
wilcox.test(group1, group2)

This code works for datasets with the same number of data values in each 
column, but not when there is a different number of data values in one 
column than another column of data.

Is the solution that i have to have a null value in the data column with 
the fewer data values?

I'm testing for significant diferences between the 2 groups, and the 
result i'm getting in R with the uneven values is different from what i'm 
getting in SPSS.

Help please!

Nat


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