R: Kruskal Wallis test and multiple comparison of treatments.

kruskal {agricolae}

R 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.
The post hoc test is using the criterium Fisher's least significant difference.
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

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"))

[Package agricolae version 1.2-6 Index]