"IndependenceLinearStatistic"
Objects of class "IndependenceLinearStatistic"
represent the linear
statistic and the transformed and original data structures corresponding to an
independence problem.
Objects can be created by calls of the form
new("IndependenceLinearStatistic", object, ...)
where object
is an object of class
"IndependenceTestProblem"
.
linearstatistic
:Object of class "matrix"
. The linear statistic for each block.
expectation
:Object of class "matrix"
. The expectation of the linear statistic
for each block.
covariance
:Object of class "matrix"
. The lower triangular elements of the
covariance of the linear statistic for each block.
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.
Class "IndependenceTestProblem"
, directly.
Class "IndependenceProblem"
, by class
"IndependenceTestProblem"
, distance 2.
Class "IndependenceTestStatistic"
, directly.
Class "MaxTypeIndependenceTestStatistic"
, by class
"IndependenceTestStatistic"
, distance 2.
Class "QuadTypeIndependenceTestStatistic"
, by class
"IndependenceTestStatistic"
, distance 2.
Class "ScalarIndependenceTestStatistic"
, by class
"IndependenceTestStatistic"
, distance 2.
signature(object = "IndependenceLinearStatistic")
: See the
documentation for covariance()
for details.
signature(object = "IndependenceLinearStatistic")
: See the
documentation for expectation()
for details.
signature(.Object = "IndependenceLinearStatistic")
: See the
documentation for initialize()
(in package
methods) for details.
signature(object = "IndependenceLinearStatistic")
: See the
documentation for statistic()
for details.
signature(object = "IndependenceLinearStatistic")
: See the
documentation for variance()
for details.