Class "IndependenceTestStatistic" and its subclasses
Objects of class "IndependenceTestStatistic" and its subclasses
"MaxTypeIndependenceTestStatistic",
"QuadTypeIndependenceTestStatistic" and
"ScalarIndependenceTestStatistic" represent the test statistic, the
linear statistic, and the transformed and original data structures
corresponding to an independence problem.
Class "IndependenceTestStatistic" is a virtual class, so objects
cannot be created from it directly.
Objects can be created by calls of the form
new("MaxTypeIndependenceTestStatistic", object,
alternative = c("two.sided", "less", "greater"), \dots),
new("QuadTypeIndependenceTestStatistic", object, paired = FALSE, \dots)and
new("ScalarIndependenceTestStatistic", object,
alternative = c("two.sided", "less", "greater"), paired = FALSE, \dots)where object is an object of class
"IndependenceLinearStatistic", alternative is a character
specifying the direction of the alternative hypothesis and paired is a
logical indicating that paired data have been transformed in such a way that
the (unstandardized) linear statistic is the sum of the absolute values of the
positive differences between the paired observations.
For objects of classes "IndependenceTestStatistic",
"MaxTypeIndependenceTestStatistic",
"QuadTypeIndependenceTestStatistic" or
"ScalarIndependenceTestStatistic":
teststatistic:Object of class "numeric". The test statistic.
standardizedlinearstatistic:Object of class "numeric". The standardized linear statistic.
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.
Additionally, for objects of classes "MaxTypeIndependenceTest" or
"ScalarIndependenceTest":
alternative:Object of class "character". The direction of the alternative
hypothesis.
Additionally, for objects of class "QuadTypeIndependenceTest":
covarianceplus:Object of class "numeric". The lower triangular elements of the
Moore-Penrose inverse of the covariance of the linear statistic.
df:Object of class "numeric". The rank of the covariance matrix.
Additionally, for objects of classes "QuadTypeIndependenceTest" or
"ScalarIndependenceTest":
paired:Object of class "logical". The indicator for paired test
statistics.
For objects of class "IndependenceTestStatistic":
Class "IndependenceLinearStatistic", directly.
Class "IndependenceTestProblem", by class
"IndependenceLinearStatistic", distance 2.
Class "IndependenceProblem", by class
"IndependenceLinearStatistic", distance 3.
For objects of classes "MaxTypeIndependenceTestStatistic",
"QuadTypeIndependenceTestStatistic" or
"ScalarIndependenceTestStatistic":
Class "IndependenceTestStatistic", directly.
Class "IndependenceLinearStatistic", by class
"IndependenceTestStatistic", distance 2.
Class "IndependenceTestProblem", by class
"IndependenceTestStatistic", distance 3.
Class "IndependenceProblem", by class
"IndependenceTestStatistic", distance 4.
For objects of class "IndependenceTestStatistic":
Class "MaxTypeIndependenceTestStatistic", directly.
Class "QuadTypeIndependenceTestStatistic", directly.
Class "ScalarIndependenceTestStatistic", directly.
signature(object = "MaxTypeIndependenceTestStatistic"): See the
documentation for ApproxNullDistribution for details.
signature(object = "QuadTypeIndependenceTestStatistic"): See the
documentation for ApproxNullDistribution for details.
signature(object = "ScalarIndependenceTestStatistic"): See the
documentation for ApproxNullDistribution for details.
signature(object = "MaxTypeIndependenceTestStatistic"): See the
documentation for AsymptNullDistribution for details.
signature(object = "QuadTypeIndependenceTestStatistic"): See the
documentation for AsymptNullDistribution for details.
signature(object = "ScalarIndependenceTestStatistic"): See the
documentation for AsymptNullDistribution for details.
signature(object = "QuadTypeIndependenceTestStatistic"): See the
documentation for ExactNullDistribution for details.
signature(object = "ScalarIndependenceTestStatistic"): See the
documentation for ExactNullDistribution for details.
signature(object = "QuadTypeIndependenceTestStatistic"): See the
documentation for covariance for details.
signature(.Object = "IndependenceTestStatistic"): See the
documentation for initialize (in package
methods) for details.
signature(.Object = "MaxTypeIndependenceTestStatistic"): See the
documentation for initialize (in package
methods) for details.
signature(.Object = "QuadTypeIndependenceTestStatistic"): See the
documentation for initialize (in package
methods) for details.
signature(.Object = "ScalarIndependenceTestStatistic"): See the
documentation for initialize (in package
methods) for details.
signature(object = "IndependenceTestStatistic"): See the
documentation for statistic for details.
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