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.