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

`y` | class (aov or lm) or vector numeric
`trt` | constant (only y=model) or vector alfanumeric
`DFerror` | Numeric
`MSerror` | Numeric
`alpha` | Numeric
`group` | Logic
`main` | Text

### 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

`LSD.test`, `waller.test` , `duncan.test`, `HSD.test` , `SNK.test`

### Examples

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

[Package agricolae version 1.2-6 Index]