kendall.tau {ANSM5}

Perform Kendall's tau

Description

kendall.tau() performs the Kendall's tau and is used in chapter 10 of "Applied Nonparametric Statistical Methods" (5th edition)

Usage

kendall.tau(
  x,
  y,
  alternative = c("two.sided", "less", "greater"),
  max.exact.cases = 10,
  nsims.mc = 1e+05,
  seed = NULL,
  do.asymp = FALSE,
  do.exact = TRUE,
  do.mc = FALSE
)

Arguments

x

Numeric vector of same length as y

y

Numeric vector of same length as x

alternative

Type of alternative hypothesis (defaults to two.sided)

max.exact.cases

Maximum number of cases allowed for exact calculations (defaults to 10)

nsims.mc

Number of Monte Carlo simulations to be performed (defaults to 100000)

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 ANSMstat object with the results from applying the function

Examples

# Example 10.8 from "Applied Nonparametric Statistical Methods" (5th edition)
kendall.tau(ch10$death.year, app1$McDelta, alternative = "greater",
  do.asymp = TRUE, do.exact = FALSE)

# Example 10.9 from "Applied Nonparametric Statistical Methods" (5th edition)
kendall.tau(ch10$Canadian, ch10$Australian)