waerden.test {agricolae} | R Documentation

## Multiple comparisons. The van der Waerden (Normal Scores)

### Description

A nonparametric test for several independent samples.

### Usage

    waerden.test(y, trt, alpha=0.05, group=TRUE, main=NULL,console=FALSE)

### Arguments

`y` | Variable response
`trt` | Treatments
`alpha` | Significant level
`group` | TRUE or FALSE
`main` | Title
`console` | logical, print output

### Details

The data consist of k samples of possibly unequal sample size.
The post hoc 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

### See Also

`BIB.test`, `DAU.test`, `duncan.test`, `durbin.test`, `friedman`, `HSD.test`, `kruskal`, `LSD.test`, `Median.test`, `PBIB.test`, `REGW.test`, `scheffe.test`, `SNK.test`, `waller.test`, `plot.group`

### Examples

    library(agricolae)
    # example 1
    data(corn)
    out1<-with(corn,waerden.test(observation,method,group=TRUE))
    print(out1$groups)
    plot(out1)
    out2<-with(corn,waerden.test(observation,method,group=FALSE))
    print(out2$comparison)
    # example 2
    data(sweetpotato)
    out<-with(sweetpotato,waerden.test(yield,virus,alpha=0.01,group=TRUE))
    print(out)

[Package agricolae version 1.2-9 Index]