MalikTab: Malik's critical values

In hiddenf: The All-Configurations, Maximum-Interaction F-Test for Hidden Additivity

Description

This function computes Monte Carlo estimates of critical values for Malik's test for non-additivity at significance levels .01,.05 and .1

Usage

MalikTab(r, c, N=1000)

Arguments

r	Number of levels of row factor
c	Number of levels of column factor
N	Number of additive datasets to be generated for Monte Carlo estimation of critical values

Value

A list with several components:

Tcsim	a random sample of N test statistics from Malik's procedure under the hypothesis of additivity
q	a vector with first two elements equal to the number of levels of the row and column factors, along with the 99th, 95th and 90th quantiles from the random sample

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, just-accepted

See Also

MalikPvalue

Examples

# get critical values to conduct Malik's test of additivity
# in an experiment with row and column factors with 4 and 5 levels,
# respectively
## Not run: 
data(cjejuni.mtx)
cjejuni.out <- HiddenF(cjejuni.mtx)
Malik.pvalue <- MalikPvalue(cjejuni.out)
cjejuni.Malikobj <- Maliktab(4,5,N=1000)
print(cjejuni.Malikobj$q)

## End(Not run)

hiddenf documentation built on May 2, 2019, 2:47 p.m.