friedman {agricolae}R Documentation

Friedman test and multiple comparison of treatments

Description

The data consist of b mutually independent k-variate random variables called b blocks. The random variable is in a block and is associated with treatment. It makes the multiple comparison of the Friedman test with or without ties. A first result is obtained by friedman.test of R.

Usage

friedman(judge,trt,evaluation,alpha=0.05,group=TRUE,main=NULL)

Arguments

judge Identification of the judge in the evaluation
trt Treatment
evaluation Variable
alpha Significant test
group TRUE or FALSE
main Title

Value

judge Vector
trt Vector
evaluation Vector
alpha Numeric
group Logic
main Text

Author(s)

Felipe de Mendiburu

References

Practical Nonparametrics Statistics. W.J. Conover, 1999

See Also

kruskal, durbin.test

Examples

library(SuppDists)
library(agricolae)
data(grass)
attach(grass)
comparison<-friedman(judge,trt, evaluation,alpha=0.05, group=TRUE,
main="Data of the book of Conover")
#startgraph
bar.group(comparison,density=3,border="red",col="blue",ylim=c(0,45))
#endgraph

[Package agricolae version 1.0-6 Index]