PermutationDistribution {coin}R Documentation

Permutation Distribution of Conditional Independence Tests

Description

Density, distribution, quantile and support of permutation distributions of conditional independence tests.

Usage

dperm(object, x, ...)
pperm(object, q, ...)
qperm(object, p, ...)
support(object, ...)

Arguments

object an object inheriting from class IndependenceTest-class.
x value of a standardized statistic.
q value of a standardized statistic.
p a probability.
... further arguments to be passed to methods.

Methods

dperm
density function of a permutation distribution.
pperm
distribution function of a permutation distribution.
qperm
quantile function for a permutation distribution.
support
the support of a permutation distribution.

Examples


  ### artificial 2-sample problem
  df <- data.frame(y = rnorm(20), x = gl(2, 10))

  ### Ansari-Bradley test
  at <- ansari_test(y ~ x, data = df, distribution = "exact")

  ### density of the exact distribution of the Ansari-Bradley statistic
  dens <- sapply(support(at), dperm, object = at)

  ### plot density
  plot(support(at), dens, type = "s")

  ### 95% quantile
  qperm(at, 0.95)

  ### one-sided p-value
  pperm(at, statistic(at))


[Package coin version 1.0-3 Index]