scheffe.test: Multiple comparisons, scheffe

Description

Scheffe 1959, method is very general in that all possible contrasts can be tested for significance and confidence intervals can be constructed for the corresponding linear. The test is conservative.

Usage

scheffe.test(y, trt, DFerror, MSerror, Fc, alpha = 0.05, group=TRUE, main = NULL)

Arguments

model(aov or lm) or answer of the experimental unit

trt

Constant( only y=model) or vector treatment applied to each experimental unit

DFerror

Degrees of freedom

MSerror

Mean Square Error

F Value

alpha

Significant level

group

TRUE or FALSE

main

Title

Value

yclass (aov or lm) or vector numeric
trtconstant (only y=model) or vector alfanumeric
DFerrorNumeric
MSerrorNumeric
FcNumeric
alphaNumeric
groupLogic
mainText

Details

It is necessary first makes a analysis of variance.

References

Examples

Run this code

library(agricolae)
data(sweetpotato)
model<-aov(yield~virus, data=sweetpotato)
comparison <- scheffe.test(model,"virus", group=TRUE,
main="Yield of sweetpotato
Dealt with different virus")
# Old version scheffe.test()
attach(sweetpotato)
df<-df.residual(model)
MSerror<-deviance(model)/df
Fc<-anova(model)["virus",4]
comparison <- scheffe.test(yield, virus, df, MSerror, Fc, group=TRUE, 
main="Yield of sweetpotato. Dealt with different virus")
detach(sweetpotato)

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