perm.t.test {Deducer} R Documentation

## Permutation t-test

### Description

Two Sample t-test via monte-carlo permutation

### Usage

perm.t.test(x,y,statistic=c("t","mean"),
alternative=c("two.sided", "less", "greater"), midp=TRUE, B=10000)


### Arguments

 x a numeric vector containing the first sample y a numeric vector containing the second sample statistic The statistic to be permuted. See details alternative The alternative hypothesis midp should the mid p-value be used B The number of monte-carlo samples to be generated

### Details

This function performs a two sample permutation test. If the mean is permuted, then the test assumes exchangability between the two samples. if the t-statistic is used, the test assumes either exchangability or a sufficiently large sample size. Because there is little lost in the way of power, and the assumptions are weaker, the t-statistic is used by default.

### Value

A list with class "htest" containing the following components:

 statistic The observed value of the statistic. p.value the p-value for the test. method a character string indicating the type of test performed. data.name a character string giving the name(s) of the data. B The number of samples generated alternative the direction of the test

t.test
perm.t.test(rnorm(100),runif(100,-.5,.5))