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
1 |
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.
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.
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.
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