PermutationDistribution-methods | R Documentation |

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

```
## S4 method for signature 'NullDistribution'
dperm(object, x, ...)
## S4 method for signature 'IndependenceTest'
dperm(object, x, ...)
## S4 method for signature 'NullDistribution'
pperm(object, q, ...)
## S4 method for signature 'IndependenceTest'
pperm(object, q, ...)
## S4 method for signature 'NullDistribution'
qperm(object, p, ...)
## S4 method for signature 'IndependenceTest'
qperm(object, p, ...)
## S4 method for signature 'NullDistribution'
rperm(object, n, ...)
## S4 method for signature 'IndependenceTest'
rperm(object, n, ...)
## S4 method for signature 'NullDistribution'
support(object, ...)
## S4 method for signature 'IndependenceTest'
support(object, ...)
```

`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 |

`...` |
further arguments to be passed to methods. |

The methods `dperm`

, `pperm`

, `qperm`

, `rperm`

and
`support`

compute the density function, distribution function, quantile
function, random deviates and support, respectively, of the permutation
distribution.

The density function, distribution function, quantile function, random
deviates or support of the permutation distribution computed from
`object`

. A numeric vector.

The density of asymptotic permutation distributions for maximum-type tests or
exact permutation distributions obtained by the split-up algorithm is reported
as `NA`

. The quantile function of asymptotic permutation distributions
for maximum-type tests cannot be computed for `p`

less than 0.5, due to
limitations in the mvtnorm package. The support of exact permutation
distributions obtained by the split-up algorithm is reported as `NA`

.

In versions of coin prior to 1.1-0, the support of asymptotic
permutation distributions was given as an interval containing 99.999 % of the
probability mass. It is now reported as `NA`

.

```
## 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, x = supp)
## Plotting the density
plot(supp, dens, type = "s")
## 95% quantile
qperm(at, p = 0.95)
## One-sided p-value
pperm(at, q = statistic(at))
## Random number generation
rperm(at, n = 5)
```

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