Friedman & Paired Comparisons (Durbin-Conover)

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by pstjacques » Tue Jun 23, 2020 9:08 pm

I am conducting Friedman non-parametric test, followed by pairwise comparisons (Durbin-Conover). I was wondering if the p-values reported in the table are already adjusted for multiple comparisons?
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by MAgojam » Wed Jun 24, 2020 2:09 pm

Hi, @pstjacques.

The p values shown in the table are obtained as:
P value adjustment method: none
Take a look at the attached screenshot, where I use the Rj module and this little r script.
Code: Select all
library(PMCMR)
options(digits=5)
y <- data.matrix(data[1:6])
friedman.test(y)

# P value adjustment method: none
posthoc.friedman.conover.test(y, p.adj="none")

# P value adjustment method: bonferroni
posthoc.friedman.conover.test(y, p.adj="bonferroni")

ScreenShot.png
ScreenShot.png (105.26 KiB) Viewed 271 times


Cheers,
Maurizio
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by pstjacques » Wed Jun 24, 2020 4:36 pm

Thanks very much for your response Maurizio! I'm a newbie to R, so it's helpful to see how you have used the Rj Module here.
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