friedman: Friedman test and multiple comparison of treatments
In agricolae: Statistical Procedures for Agricultural Research

friedman

R Documentation

Friedman test and multiple comparison of treatments

Description

The data consist of b-blocks mutually independent k-variate random variables Xij, i=1,..,b; j=1,..k. The random variable X is in block i and is associated with treatment j. 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

`statistics`	Statistics of the model
`parameters`	Design parameters
`means`	Statistical summary of the study variable
`comparison`	Comparison between treatments
`groups`	Formation of treatment groups

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
plot(out,variation="IQR")
#endgraph

agricolae documentation built on Oct. 23, 2023, 1:06 a.m.