zwl_sim {highDmean} | R Documentation |
Apply the test by Zhang and Wang (2020) to multiple simulated two-sample datasets
Description
Apply the two-sample high-dimensional test by Zhang and Wang (2020) to multiple simulated two-sample high dimensional datasets. This function is useful for Monte Carlo experiments.
Usage
zwl_sim(DATA, order = 0)
Arguments
DATA |
The list of dataset lists generated by |
order |
The order of the center correction. Possible choices are 0, 2.
To use the ZWLm test, set |
Value
A dataframe with each row consisting the values of the test statistics, p-values, Tn, and the estimate of Var(Tn).
References
Zhang, H. and Wang, H. (2020). Result consistency of high dimensional two-sample tests applied to gene ontology terms with gene sets. Manuscript in review.
Examples
# Generate 3 simulated two-sample datasets and apply the ZWL test
data <- buildData(n = 45, m =60, p = 300,
muX = rep(0,300), muY = rep(0,300),
dep = 'IND', S = 3, innov = rnorm)
zwl_sim(data, order = 2)
[Package highDmean version 0.1.0 Index]