dunnett.test: Dunnett Test

Description

Implements Dunnett's test (Dunnett, 1955) for many-to-one comparisons.

Usage

dunnett.test(Z = Z, select = rep(1, length(Z)))

Arguments

A vector of test statistics

select

A vector of length Z; to include treatments set values to one and to exclude treatments set values to zero

Value

pvalues: A list of matrices of p-values for all intersection hypotheses
zscores: A list of matrices of z-scores for all intersection hypotheses
hyp.comb: A list of matrices indicating the structure of the intersection hypotheses

Details

A many-to-one comparison test for the the null hypothesis that all the treatment effects are equal to zero against the alternative that at least one is larger than zero.

References

Dunnett CW. A multiple comparison procedure for comparing several treatments with a control. Journal of the American Statistical Association 1955;50:1096-1121.

Examples

Run this code


dunnett.test(c(0.75,1.5,2.25))

# select two treatments only
dunnett.test(c(0.75,1.5,2.25),select=c(1,1,0))

# set test statistic to -Inf
dunnett.test(c(0.75,1.5,-Inf))

Run the code above in your browser using DataLab

Last chance! 50% off unlimited learning