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

### 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"))

[Package agricolae version 1.2-6 Index]