R: Friedman test and multiple comparison of treatments

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,console=FALSE)

Arguments

`judge`	Identification of the judge in the evaluation
`trt`	Treatment
`evaluation`	Variable
`alpha`	Significant test
`group`	TRUE or FALSE
`main`	Title
`console`	logical, print output

Details

The post hoc friedman test is using the criterium Fisher's least significant difference (LSD)

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

Examples

library(agricolae)
data(grass)

out<-with(grass,friedman(judge,trt, evaluation,alpha=0.05, group=TRUE,console=TRUE,
main="Data of the book of Conover"))
#startgraph
bar.group(out$groups,density=3,border="red",col="blue",ylim=c(0,45))
#endgraph

[Package agricolae version 1.2-6 Index]