agricolae (version 1.2-4)

kruskal: 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

Value

y

vector numeric

trt

vector alphanumeric

alpha

level significant

p.adj

text, see p.adjust

group

Logic

main

Title

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.

References

Practical Nonparametrics Statistics. W.J. Conover, 1999

See Also

friedman, durbin.test

Examples

# NOT RUN {
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"))
# }