twosample_power {R2sample}R Documentation

Find the power of various two sample tests using Rcpp and parallel computing.

Description

Find the power of various two sample tests using Rcpp and parallel computing.

Usage

twosample_power(
  f,
  ...,
  alpha = 0.05,
  B = 1000,
  nbins = c(100, 10),
  maxProcessor = 10,
  doMethod = "all"
)

Arguments

f

function to generate a list with data sets x, y and (optional) vals

...

additional arguments passed to f

alpha

=0.05, the level of the hypothesis test

B

=1000, number of simulation runs for permutation test and power.

nbins

=c(100,10), number of bins for chi large and chi small.

maxProcessor

=10, maximum number of cores to use. If maxProcessor=1 no parallel computing is used.

doMethod

="all", which methods should be included?

Value

A numeric vector of power values.

Examples

 f=function(mu) list(x=rnorm(25), y=rnorm(25, mu))
 twosample_power(f, mu=c(0,2), B=100, maxProcessor = 1)
 f=function() list(x=table(sample(1:10, size=1000, replace=TRUE)), 
       y=table(sample(1:10, size=1200, replace=TRUE)), vals=1:10)
 twosample_power(f, B=100, maxProcessor = 1)

[Package R2sample version 1.1.0 Index]