| cKW {NSM3} | R Documentation |
Computes a critical value for the Kruskal-Wallis H distribution.
Description
This function computes the critical value for the Kruskal-Wallis H distribution at (or typically in the "Exact" and "Monte Carlo" cases, close to) the given alpha level.
Usage
cKW(alpha,n, method=NA, n.mc=10000)
Arguments
alpha |
A numeric value between 0 and 1. |
n |
A vector of numeric values indicating the size of each of the k data groups. |
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 "NSM3Ch6c" class containing the following components:
n |
number of observations in the k data groups |
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") |
Author(s)
Grant Schneider
Examples
##Hollander-Wolfe-Chicken Example 6.1 Half-Time of Mucociliary Clearance
#cKW(0.0503,c(5,4,5),"Exact")
cKW(0.7147,c(5,4,5),"Asymptotic")
cKW(0.7147,c(5,4,5),"Monte Carlo",n.mc=20000)