# Various Methods for the Two Sample Problem

## Documentation for package ‘R2sample’ version 3.1.1

- DESCRIPTION file.
- User guides, package vignettes and other documentation.
- Package NEWS.

## Help Pages

asymptotic_pvalues | This function finds the p values of several tests based on large sample theory
case.studies | This function creates the functions needed to run the various case studies.
chi_power | This function runs the chi-square test for continuous or discrete data
myTS2 | a local function needed for the vignette
plot_power | This function draws the power graph, with curves sorted by the mean power and smoothed for easier reading.
power_cont_R | Find the power of built-in continuous two sample tests using Rcpp and parallel computing.
power_disc_R | Find the power of built-in continuous two sample tests using Rcpp and parallel computing.
power_newtest | This function estimates the power of test routines that calculate p value(s)
power_studies_results | power_studies_results
pvaluecdf | pvaluecdf
run.studies | This function runs the case studies included in the package
run_shiny | Runs the shiny app associated with R2sample package
signif.digits | This function does some rounding to nice numbers
timecheck | test function
twosample_power | Find the power of various two sample tests using Rcpp and parallel computing.
twosample_test | This function runs a number of two sample tests using Rcpp and parallel computing.
twosample_test_adjusted_pvalue | 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.