agricolae (version 1.2-6)

REGW.test: 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

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

Details

It is necessary first makes a analysis of variance.

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

# NOT RUN {
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)
# }