twosample_test {R2sample}

This function runs a number of two sample tests using Rcpp and parallel computing.

Description

This function runs a number of two sample tests using Rcpp and parallel computing.

Usage

twosample_test(
  x,
  y,
  vals,
  B = 5000,
  nbins = c(100, 10),
  maxProcessor = 10,
  discretize = FALSE,
  doMethod
)

Arguments

x

a vector of numbers if data is contiunous or of counts if data is discrete.

y

a vector of numbers if data is contiunous or of counts if data is discrete.

vals

a vector of numbers, the values of a discrete random variable. If it is missing, continuous data is assumed.

B

=5000, number of simulation runs for permutation test

nbins

=c(100,10), number of bins for chi square tests.

maxProcessor

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

discretize

=FALSE. Should continuous data be binned?

doMethod

Which methods should be included? If missing default methods are used.

Value

A list of two numeric vectors, the test statistics and the p values.

Examples

 twosample_test(rnorm(1000), rt(1000, 4), B=1000, maxProcessor = 1)
 vals=1:5
 x=table(sample(vals, size=100, replace=TRUE))
 y=table(sample(vals, size=100, replace=TRUE, prob=c(1,1,2,1,1)))
 twosample_test(x, y, vals, maxProcessor = 1)