I'm trying to run the krushkalmc method after running kruskal.test as part of my analysis with the Kruskal-Wallis rank sum test. I have data with a small sample size that also does not have a normal distribution so I thought that the Kruskal-Wallis rank sum test would be an appropriate choice.
My resulting p-value is .004 but I'd like to do a post-hoc test as well to understand which group(s) differ.
However, I've run into difficulties trying to install the pgirmess package that contains krushkalmc.
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Trying to install it from inside R:
install.packages("pgirmess")
package ‘pgirmess’ is available as a source package but not as a binary -
So then I downloaded it and tried to install it manually:
install.packages("pgirmess", repos = NULL, type="source")
Warning: invalid package ‘pgirmess’
Error: ERROR: no packages specified
Warning in install.packages :
installation of package ‘pgirmess’ had non-zero exit status
and here is my sessionInfo()
> sessionInfo()
R version 3.1.2 (2014-10-31)
Platform: x86_64-apple-darwin13.4.0 (64-bit)
locale:
[1] en_US.UTF-8/en_US.UTF-8/en_US.UTF-8/C/en_US.UTF-8/en_US.UTF-8
attached base packages:
[1] stats graphics grDevices utils datasets methods
[7] base
other attached packages:
[1] ggplot2_1.0.0
loaded via a namespace (and not attached):
[1] colorspace_1.2-4 digest_0.6.8 grid_3.1.2
[4] gtable_0.1.2 labeling_0.3 MASS_7.3-35
[7] munsell_0.4.2 plyr_1.8.1 proto_0.3-10
[10] Rcpp_0.11.4 reshape2_1.4.1 scales_0.2.4
[13] stringr_0.6.2 tools_3.1.2
I've tried to determine if any other package has the kruskalmc but don't see any.
So my questions are:
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Do you have any recommendations for installing pgirmess?
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Is dunn.test a suitable replacement for identifying which group(s) have significantly different scores? It also notes that
The interpretation of stochastic dominance requires an assumption that
the CDF of one group does not cross the CDF of the other
How do I determine if this CDF – cumulative distribution constraint is met?
Disclaimer: I first opened this question in stackoverflow but closed it there as I think this is a more appropriate site.
Thanks for your help
Best Answer
You will want to read the question What is the difference between various Kruskal-Wallis post-hoc tests? and my answer to it.
From that answer:
For your second question, you will want to read the question Can a CDF from data cross with another CDF? and its answer.
References
Dunn, O. J. (1964). Multiple comparisons using rank sums. Technometrics, 6(3):241–252.
Siegel and Castellan (1988) Non parametric statistics for the behavioural sciences. MacGraw Hill Int., New York. pp 213-214