R: Ryan, Einot and Gabriel and Welsch multiple range test

REGW.test {agricolae} | R Documentation

## Ryan, Einot and Gabriel and Welsch multiple range test

### Description

Multiple range tests for all pairwise comparisons, to obtain a confident inequalities multiple range tests.

### Usage

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

### Arguments

`y` | model(aov or lm) or answer of the experimental unit
`trt` | Constant( only y=model) or vector treatment applied to each experimental unit
`DFerror` | Degree free
`MSerror` | Mean Square Error
`alpha` | Significant level
`group` | TRUE or FALSE
`main` | Title
`console` | logical, print output

### Details

It is necessary first makes a analysis of variance.

### Value

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

### Author(s)

Felipe de Mendiburu

### References

Multiple comparisons theory and methods. Departament of statistics the Ohio State University. USA, 1996. Jason C. Hsu. Chapman Hall/CRC

### See Also

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

### Examples

    library(agricolae)
    data(sweetpotato)
    model<-aov(yield~virus,data=sweetpotato)
    out<- REGW.test(model,"virus",
    main="Yield of sweetpotato. Dealt with different virus")
    print(out)
    REGW.test(model,"virus",alpha=0.05,console=TRUE,group=FALSE)

[Package agricolae version 1.2-8 Index]