Two Sample Wilcoxon-Mann-Whitney Rank Sum Test Allowing For Correlation — .rankSumTestWithCorrelation • zenith

Same as limma::.rankSumTestWithCorrelation, but returns effect size.

Usage

.rankSumTestWithCorrelation(index, statistics, correlation = 0, df = Inf)

Arguments

index: any index vector such that statistics[index] contains the values of the statistic for the test group.
statistics: numeric vector giving values of the test statistic.
correlation: numeric scalar, average correlation between cases in the test group. Cases in the second group are assumed independent of each other and other the first group.
df: degrees of freedom which the correlation has been estimated.

Value

data.frame storing results of hypothesis test

Details

See limma::.rankSumTestWithCorrelation