Last data update: 2014.03.03

R: Kruskal Wallis test and multiple comparison of treatments.
kruskalR Documentation

Kruskal Wallis test and multiple comparison of treatments.

Description

It makes the multiple comparison with Kruskal-Wallis. The parameters by default are alpha = 0.05.

Usage

kruskal(y, trt, alpha = 0.05, p.adj=c("none","holm","hommel", 
"hochberg", "bonferroni", "BH", "BY", "fdr"), group=TRUE, main = NULL,console=FALSE)

Arguments

y

response

trt

treatment

alpha

level signification

p.adj

Method for adjusting p values (see p.adjust)

group

TRUE or FALSE

main

Title

console

logical, print output

Details

For equal or different repetition. p.adj = "holm", "hommel", "hochberg", "bonferroni", "BH", "BY", "fdr". see p.adjust() p-adj ="none" is t-student. p-adj ="hommel" is not applied in this test.

Value

y

vector numeric

trt

vector alphanumeric

alpha

level significant

p.adj

text, see p.adjust

group

Logic

main

Title

Author(s)

Felipe de Mendiburu

References

Practical Nonparametrics Statistics. W.J. Conover, 1999

See Also

friedman, durbin.test

Examples

library(agricolae)
data(corn)
str(corn)
comparison<-with(corn,kruskal(observation,method,group=TRUE, main="corn"))
comparison<-with(corn,kruskal(observation,method,p.adj="bon",group=FALSE, main="corn"))

Results