coin (version 1.1-0)

PermutationDistribution-methods: Computation of the Permutation Distribution

Description

Methods for computation of the density function, distribution function, quantile function, random numbers and support of the permutation distribution.

Usage

## S3 method for class 'AsymptNullDistribution':
dperm(object, x, \dots)
## S3 method for class 'IndependenceTest':
dperm(object, x, \dots)
## S3 method for class 'NullDistribution':
dperm(object, x, \dots)
## S3 method for class 'AsymptNullDistribution':
pperm(object, q, \dots)
## S3 method for class 'IndependenceTest':
pperm(object, q, \dots)
## S3 method for class 'NullDistribution':
pperm(object, q, \dots)
## S3 method for class 'AsymptNullDistribution':
qperm(object, p, \dots)
## S3 method for class 'IndependenceTest':
qperm(object, p, \dots)
## S3 method for class 'NullDistribution':
qperm(object, p, \dots)
## S3 method for class 'IndependenceTest':
rperm(object, n, \dots)
## S3 method for class 'NullDistribution':
rperm(object, n, \dots)
## S3 method for class 'IndependenceTest':
support(object, \dots)
## S3 method for class 'NullDistribution':
support(object, \dots)

Arguments

object

an object from which the density function, distribution function, quantile function, random numbers or support of the permutation distribution can be computed.

x, q

a numeric vector, the quantiles for which the density function or distribution function is computed.

p

a numeric vector, the probabilities for which the quantile function is computed.

n

a numeric vector, the number of observations. If length(n) > 1, the length is taken to be the number required.

...

further arguments to be passed to methods.

Value

• The density function, distribution function, quantile function, random numbers or support of the permutation distribution computed from object. A numeric vector.

Details

The methods dperm, pperm, qperm, rperm and support compute the density function, distribution function, quantile function, random numbers and support, respectively, of the permutation distribution.

Examples

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

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

## Support of the exact distribution of the Ansari-Bradley statistic
supp <- support(at)

## Density of the exact distribution of the Ansari-Bradley statistic
dens <- dperm(at, supp)

## Plotting the density
plot(supp, dens, type = "s")

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

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

## Random number generation
rperm(at, 5)