# cLepage: Computes a critical value for the Lepage D distribution. In NSM3: Functions and Datasets to Accompany Hollander, Wolfe, and Chicken - Nonparametric Statistical Methods, Third Edition

 cLepage R Documentation

## Computes a critical value for the Lepage D distribution.

### Description

This function computes the critical value for the Lepage D distriburion at (or typically in the "Exact" and "Monte Carlo" cases, close to) the given alpha level.

### Usage

``````cLepage(alpha, m, n, method=NA, n.mc=10000)
``````

### Arguments

 `alpha` A numeric value between 0 and 1. `m` A numeric value indicating the size of the first data group (X). `n` A numeric value indicating the size of the second data group (Y). `method` Either "Exact", "Monte Carlo" or "Asymptotic", indicating the desired distribution. When method=NA, "Exact" will be used if the number of permutations is 10,000 or less. Otherwise, "Monte Carlo" will be used. `n.mc` If method="Monte Carlo", the number of Monte Carlo samples used to estimate the distribution. Otherwise, not used.

### Value

Returns a list with "NSM3Ch5c" class containing the following components:

 `m` number of observations in the first data group (X) `n` number of observations in the second data group (Y) `cutoff.U` upper tail cutoff at or below user-specified alpha `true.alpha.U` true alpha level corresponding to cutoff.U (if method="Exact" or "Monte Carlo")

Grant Schneider

### Examples

``````##Hollander-Wolfe-Chicken Example 5.3 Platelet Counts of Newborn Infants
cLepage(0.02,10,6,"Exact")
cLepage(0.02,10,6,"Monte Carlo")
cLepage(0.02,10,6,"Asymptotic")
``````

NSM3 documentation built on Sept. 8, 2023, 5:52 p.m.