power.ranksum {FDRsampsize} | R Documentation |
Compute power of the rank-sum test
Description
Compute power of rank-sum test;Uses formula of Noether (JASA 1987)
Usage
power.ranksum (n, alpha, p)
Arguments
n |
sample size (scalar) |
alpha |
p-value threshold (scalar) |
p |
Pr (Y>X), as in Noether (JASA 1987) |
Details
In most applications, the null effect size will be designated by p = 0.5, which indicates that Thus, in the example below, the argument null.effect=0.5 is specified in the call to fdr.sampsize.
Value
vector of power estimates for two-sided tests
References
Noether, Gottfried E (1987) Sample size determination for some common nonparametric tests. Journal of the American Statistical Association, 82:645-647.
Examples
power.ranksum # show the power function
res=fdr.sampsize(fdr=0.1,
ave.pow=0.8,
pow.func=power.ranksum,
eff.size=rep(c(0.8,0.5),c(100,900)),
null.effect=0.5)
res
[Package FDRsampsize version 1.0 Index]