hyp.test {asd}

Closed Testing for ASD

Description

Implements the closure principle (Marcus et al., 1976) for controlling the familywise type I error rate in ASD.

Usage

hyp.test(comb.test, level = level, full.hyp = FALSE)

Arguments

comb.test

Output from function combn.test

level

Test level (default=0.025)

full.hyp

Logical indicating whether the full set of intersection hypotheses should be reported; default FALSE

Details

In order to control the familywise type I error rate in the strong sense at the pre-specified level \alpha the closure principle (Marcus et al., 1976) is applied. This means that an individual null hypothesis is rejected if and only if all intersection hypotheses are also rejected at level \alpha.

Value

reject

Matrix indicating whether elementary hypotheses have been rejected

all.rejects

Matrix indicating rejections for each intersection hypothesis, if full.hyp=TRUE

all.hyp

Matrix labelling each intersection hypothesis, if full.hyp=TRUE

Author(s)

Nick Parsons ([e-mail])

References

Marcus R, Peritz E, Gabriel KR. On closed testing procedures with special reference to ordered analysis of variance. Biometrika 1976;63:655-660.

See Also

treatsel.sim,dunnett.test, combn.test, select.rule, simeans.binormal

Examples

stage1 <- dunnett.test(c(0.75,1.5,2.25))
stage2 <- dunnett.test(c(0.15,1.75,2.15))
comb.test <- combn.test(stage1,stage2,weight=0.5)
hyp.test(comb.test,level=0.025,full.hyp=FALSE)

# more output
hyp.test(comb.test,level=0.025,full.hyp=TRUE)