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
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)