MalikPvalue {hiddenf}

Malik's test for non-additivity

Description

Computes the p-value from the clustering-based test for non-additivity developed in Malik, et al. (2015).

Usage

MalikPvalue(hfobj, N=500,pnote=TRUE)

Arguments

hfobj

An object of class HiddenF created by the HiddenF function

N

The number of Monte Carlo datasets used to determine critical thresholds for Malik's test statistic. Default value is N=500

pnote

Boolean variable that can be used to suppress note about number of Monte Carlo datasets used to estimate pvalue

Value

A Monte Carlo estimate of the p-value from the Malik et al (2015) test of non-additivity. The standard error of this estimate is inversely proportional to the square root of N.

Author(s)

Jason A. Osborne, Christopher T. Franck and Bongseog Choi

References

Malik, WA, Mohring, J and Piepho, H. (2014) A clustering-based test for non-additivity in an unreplicated two-way layout, Communications in Statistics-Simulation and Computation.

See Also

HiddenF, additivityPvalues

Examples

## Not run: 
library(hiddenf)
data(cjejuni.mtx)
cjejuni.out <- HiddenF(cjejuni.mtx)
cjejuni.MalikPvalue <- MalikPvalue(cjejuni.out)

## End(Not run)