Objects of class "IndependenceLinearStatistic" represent the linear
statistic and the transformed and original data structures corresponding to an
independence problem.
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.