HMP (version 2.0.1)

Xmc.sevsample: Generalized Wald-type Statistics: Several Sample RAD Probability-Mean Test Comparison with a Known Common Vector

Description

This function computes the Generalized Wald-type test statistic (Wilson and Koehler, 1984) and corresponding p-value to assess whether the sample RAD probability-means from multiple populations are the same or different. The statistics assumes that a common RAD probability-mean vector for comparison under the null hypothesis is known.

Usage

Xmc.sevsample(group.data, pi0)

Arguments

group.data

A list where each element is a matrix of taxonomic counts(columns) for each sample(rows).

pi0

The RAD-probability mean vector.

Value

A list containing the Generalized Wald-type statistics and p-value.

Details

Note: The matrices in group.data must contain the same taxa, in the same order.

References

Wilson, J. R., and Koehler, K. J. (1984). Testing of equality of vectors of proportions for several cluster samples. Proceedings of Joint Statistical Association Meetings. Survey Research Methods.

Examples

# NOT RUN {
	data(saliva) 
	data(throat)
	data(tonsils)
	
	### Get pi from the dirichlet-multinomial parameters
	pi0 <- dirmult(saliva)$pi
	
	### Combine the data sets into a single list
	group.data <- list(throat, tonsils)
	
	xmc <- Xmc.sevsample(group.data, pi0)
	xmc
# }