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 |
vector of a standardized statistics. |
q |
vector of a standardized statistics. |
p |
vector of probabilities. |
... |
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 1.0-10
Index]