Permutation t-test for inference

This function computes the t-test on the inputs R times and samples the pooled data (i.e. x and y together) without replacement. The function calculates the p-value by

permutation_test(x, y, R, use_sample = TRUE, ...)

Arguments

x	a numeric vector
y	a numeric vector
R	number of resamples. Must be between 99 and 999.
use_sample	logical. Use the sample() function? If FALSE, this function will use the runif() function to draw random samples.
...	optional (named) parameters alternative: a character string specifying the alternative hypothesis, must be one of "two.sided" (default), "greater" or "less". You can specify just the initial letter. See ?t.test() for more information var.equal: a logical variable indicating whether to treat the two variances as being equal. If TRUE then the pooled variance is used to estimate the variance otherwise the Welch (or Satterthwaite) approximation to the degrees of freedom is used. See ?t.test() for more information. tolerance: defines the error tolerance bounds around the proportion of indices. Smaller tolerance means smaller bounds and more resampling to get the 'right' proportion

Value

List containing

data: list containing input parameters
results: result of the permutation test. Contains indices for each run, p-values, options passed to the t-tests

Arguments

Value

See also

Contents