twosample_test_adjusted_pvalue: Adjusted p values for simultaneous testing in the two-sample...

In R2sample: Various Methods for the Two Sample Problem

Adjusted p values for simultaneous testing in the two-sample problem.

Description

This function runs a number of two sample tests using Rcpp and parallel computing and then finds the correct p value for the combined tests.

Usage

twosample_test_adjusted_pvalue(
  x,
  y,
  vals = NA,
  TS,
  TSextra,
  wx = rep(1, length(x)),
  wy = rep(1, length(y)),
  B = c(5000, 1000),
  nbins = c(50, 10),
  minexpcount = 5,
  samplingmethod = "independence",
  rnull,
  SuppressMessages = FALSE,
  doMethods
)

Arguments

x	a vector of numbers if data is continuous or of counts if data is discrete, or a list with the data.
y	a vector of numbers if data is continuous or of counts if data is discrete.
vals	=NA, a vector of numbers, the values of a discrete random variable. NA if data is continuous data.
TS	routine to calculate test statistics for non-chi-square tests
TSextra	additional info passed to TS, if necessary
wx	A numeric vector of weights of x.
wy	A numeric vector of weights of y.
B	=c(5000, 1000), number of simulation runs for permutation test
nbins	=c(50,10), number of bins for chi square tests.
minexpcount	= 5, minimum required expected counts for chi-square tests
samplingmethod	="independence" or "Binomial" for discrete data
rnull	routine for parametric bootstrap
SuppressMessages	= FALSE print informative messages?
doMethods	="all" a vector of codes for the methods to include. If "all", all methods are used.

Details

For details consult vignette("R2sample","R2sample")

Value

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

Examples

 x=rnorm(100)
 y=rt(200, 4)
 R2sample::twosample_test_adjusted_pvalue(x, y, B=c(500, 500))
 vals=1:5
 x=table(c(1:5, sample(1:5, size=100, replace=TRUE)))-1
 y=table(c(1:5, sample(1:5, size=100, replace=TRUE, prob=c(1,1,3,1,1))))-1
 R2sample::twosample_test_adjusted_pvalue(x, y, vals, B=c(500, 500))

R2sample documentation built on June 17, 2025, 1:07 a.m.