R: Spearman's Test on Independence

SpearmanTest {coin}

R Documentation

Spearman's Test on Independence

Description

Testing the independence of two numeric variables.

Usage

## S3 method for class 'formula'
spearman_test(formula, data, subset = NULL, weights = NULL, ...)
## S3 method for class 'IndependenceProblem'
spearman_test(object,
    distribution = c("asymptotic", "approximate"), ...)

Arguments

`formula`	a formula of the form `y ~ x \| block` where `y` and `x` are numeric variables and `block` is an optional factor for stratification.
`data`	an optional data frame containing the variables in the model formula.
`subset`	an optional vector specifying a subset of observations to be used.
`weights`	an optional formula of the form `~ w` defining integer valued weights for the observations.
`object`	an object of class `IndependenceProblem`.
`distribution`	a character, the null distribution of the test statistic can be approximated by its `asymptotic` distribution (`asymptotic`) or via Monte-Carlo resampling (`approximate`). Alternatively, the functions `approximate` or `asymptotic` can be used to specify how the exact conditional distribution of the test statistic should be approximated.
`...`	further arguments to be passed to or from methods.

Details

The null hypothesis of the independence of y and x is tested.

Value

An object inheriting from class IndependenceTest-class with methods show, statistic, expectation, covariance and pvalue. The null distribution can be inspected by pperm, dperm, qperm and support methods.

Examples


  spearman_test(CONT ~ INTG, data = USJudgeRatings)

[Package coin version 1.0-20 Index]