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

### See Also

`kruskal`, `durbin.test`

### 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]