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.

if y = model, then to apply the instruction:
REGW.test (model, "trt", alpha = 0.05, group = TRUE, main = NULL, console = FALSE)
where the model class is aov or lm.

### 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

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 1.3-7 Index]