ExpDes (version 1.2.0)

ccf: Multiple comparison: Calinski and Corsten

Description

Performs the Calinski and Corsten test based on the F distribution.

Usage

ccf(y, trt, DFerror, SSerror, alpha = 0.05, group = TRUE, main = NULL)

Arguments

y

Numeric or complex vector containing the response varible.

trt

Numeric or complex vector containing the treatments.

DFerror

Error degrees of freedom.

SSerror

Error sum of squares.

alpha

Significance of the test.

group

TRUE or FALSE

main

Title

Value

Multiple means comparison for the Calinski and Corsten test.

References

CALI\'NSKI, T.; CORSTEN, L. C. A. Clustering means in ANOVA by Simultaneous Testing. Biometrics. v. 41, p. 39-48, 1985.

See Also

snk, duncan, lsd, lsdb, tukey, scottknott, ccboot

Examples

# NOT RUN {
data(ex2)
attach(ex2)
rbd(trat, provador, aparencia, quali = TRUE, mcomp='ccf', sigT = 0.05)
# }