kruskal.wallis {ANSM5}

Perform Kruskal-Wallis test

Description

kruskal.wallis() performs the Kruskal-Wallis test and is used in chapters 7 and 12 of "Applied Nonparametric Statistical Methods" (5th edition)

Usage

kruskal.wallis(
  x,
  g,
  max.exact.cases = 15,
  nsims.mc = 10000,
  seed = NULL,
  do.asymp = FALSE,
  do.exact = TRUE,
  do.mc = FALSE
)

Arguments

x

Numeric vector or factor of same length as g

g

Factor of same length as x

max.exact.cases

Maximum number of cases allowed for exact calculations (defaults to 15)

nsims.mc

Number of Monte Carlo simulations to be performed (defaults to 10000)

seed

Random number seed to be used for Monte Carlo simulations (defaults to NULL)

do.asymp

Boolean indicating whether or not to perform asymptotic calculations (defaults to FALSE)

do.exact

Boolean indicating whether or not to perform exact calculations (defaults to TRUE)

do.mc

Boolean indicating whether or not to perform Monte Carlo calculations (defaults to FALSE)

Value

An ANSMtest object with the results from applying the function

Examples

# Example 7.1 from "Applied Nonparametric Statistical Methods" (5th edition)
kruskal.wallis(ch7$affordability, ch7$regions, do.exact = FALSE, do.asymp = TRUE)

# Exercise 7.16 from "Applied Nonparametric Statistical Methods" (5th edition)
kruskal.wallis(ch7$affordability, ch7$regions)