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

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]