# IndependenceLinearStatistic-class

##### Class `"IndependenceLinearStatistic"`

Objects of class `"IndependenceLinearStatistic"`

represent the linear
statistic and the transformed and original data structures corresponding to an
independence problem.

- Keywords
- classes

##### Objects from the Class

Objects can be created by calls of the form

new("IndependenceLinearStatistic", object, varonly = FALSE, \dots)

where `object`

is an object of class
`"'>IndependenceTestProblem"`

, `varonly`

is a logical
indicating that slot `covariance`

(see ‘Slots’) should only
contain the diagonal elements of the covariance matrix.

##### Slots

`linearstatistic`

:Object of class

`"numeric"`

. The linear statistic.`expectation`

:Object of class

`"numeric"`

. The expectation of the linear statistic.`covariance`

:Object of class

`"'>VarCovar"`

. The covariance or variance of the linear statistic.`xtrans`

:Object of class

`"matrix"`

. The transformed`x`

.`ytrans`

:Object of class

`"matrix"`

. The transformed`y`

.`xtrafo`

:Object of class

`"function"`

. The regression function for`x`

.`ytrafo`

:Object of class

`"function"`

. The influence function for`y`

.`x`

:Object of class

`"data.frame"`

. The variables`x`

.`y`

:Object of class

`"data.frame"`

. The variables`y`

.`block`

:Object of class

`"factor"`

. The block structure.`weights`

:Object of class

`"numeric"`

. The case weights.

##### Extends

Class `"'>IndependenceTestProblem"`

, directly.
Class `"'>IndependenceProblem"`

, by class
`"'>IndependenceTestProblem"`

, distance 2.

##### Known Subclasses

Class `"'>IndependenceTestStatistic"`

, directly.
Class `"'>MaxTypeIndependenceTestStatistic"`

, by class
`"'>IndependenceTestStatistic"`

, distance 2.
Class `"'>QuadTypeIndependenceTestStatistic"`

, by class
`"'>IndependenceTestStatistic"`

, distance 2.
Class `"'>ScalarIndependenceTestStatistic"`

, by class
`"'>IndependenceTestStatistic"`

, distance 2.

##### Methods

- covariance
`signature(object = "IndependenceLinearStatistic")`

: See the documentation for`covariance`

for details.- expectation
`signature(object = "IndependenceLinearStatistic")`

: See the documentation for`expectation`

for details.- initialize
`signature(.Object = "IndependenceLinearStatistic")`

: See the documentation for`initialize`

(in package methods) for details.- statistic
`signature(object = "IndependenceLinearStatistic")`

: See the documentation for`statistic`

for details.- variance
`signature(object = "IndependenceLinearStatistic")`

: See the documentation for`variance`

for details.

*Documentation reproduced from package coin, version 1.3-1, License: GPL-2*