Dear r-helpers,
I want to test groups of samples for significant differences.
Question: Does Group1 differ significantly from group2.
This is a question to be answered by mann-whitney-u-test.

I know that I can use wilcox.test with 2 samples.

My problem: How can r perform the test automatically if there are more than 2 
groups in my data frame.
Test group1 vs. 2, 1 vs. 3, 1 vs. 4, etc.


This is my skript:
Deckung <- read.table("Gesamtdeckung.csv", sep=";", header=TRUE, dec=",", 
row.names=1)

x <- Deckung$Gesamtdeckung
y <- Deckung$Klasse

#U-Test
wilcox.test(x ~ y, paired = FALSE, subset = y %in% c("1", "2"))
wilcox.test(x ~ y, paired = FALSE, subset = y %in% c("1", "3"))
wilcox.test(x ~ y, paired = FALSE, subset = y %in% c("2", "3"))

Any help would be greatly appreciated!

Thanks
Kim 
-- 
GRATIS für alle GMX-Mitglieder: Die maxdome Movie-FLAT!

______________________________________________
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.

Reply via email to