ANSM5 (version 1.1.1)

conover: Perform Conover test using standard or squared ranks

Description

conover() performs the Conover test using standard or squared ranks and is used in chapters 6 and 7 of "Applied Nonparametric Statistical Methods" (5th edition)

Usage

conover(
  x,
  y,
  H0 = NULL,
  alternative = c("two.sided", "less", "greater"),
  abs.ranks = FALSE,
  max.exact.perms = 5e+06,
  nsims.mc = 10000,
  seed = NULL,
  do.asymp = FALSE,
  do.exact = TRUE,
  do.mc = FALSE
)

Value

An ANSMtest object with the results from applying the function

Arguments

x

Numeric vector of same length as y

y

Factor of same length as x

H0

Null hypothesis value (defaults to NULL)

alternative

Type of alternative hypothesis (defaults to two.sided)

abs.ranks

Boolean indicating whether absolute ranks to be used instead of squared ranks (defaults to FALSE)

max.exact.perms

Maximum number of permutations allowed for exact calculations (defaults to 5000000)

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)

Examples

# Example 6.13 from "Applied Nonparametric Statistical Methods" (5th edition)
conover(ch6$typeA, ch6$typeB, do.exact = FALSE, do.asymp = TRUE)

# Exercise 7.15 from "Applied Nonparametric Statistical Methods" (5th edition)
conover(ch7$braking.distance.2, ch7$initial.speed, do.exact = FALSE, do.asymp = TRUE)