Hello,
I am curious if anyone has had any success with finding a R version of a
k-sample Kolmogorov-Smirnov test. Most of the references that I have able to
find on this are fairly old and I am wondering if this type of analysis has
fallen out of favour. If so, how do people tend to compare distributions
when they have more than two? Is it reasonable to pursue an adjusted p-value
method. That is, could you compare say three distributions by performing
three two-sample K-S test's then apply a bonferroni correction?
Just curious what some peoples approaches are when they want to compare more
than two distributions.
Thanks in advance.
Sam
--
*****************************************************
Sam Albers
Geography Program
University of Northern British Columbia
3333 University Way
Prince George, British Columbia
Canada, V2N 4Z9
phone: 250 960-6777
*****************************************************
[[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.
