isInDomain: Checks whether values are in the domain of the...

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Checks whether values are in the domain of the ReferenceMeasure

Description

The function acts vectorized, i.e. in case of numbers or other atomic objects it expects a vector of the given type. In case of values that can not be stored in a vector it expects a list of the elements.

Usage

isInDomain(x, referenceMeasure)

## S3 method for class 'BayesSpace'
isInDomain(x, referenceMeasure)

## S3 method for class 'L2Space'
isInDomain(x, referenceMeasure)

## S3 method for class 'BayesSpaceBasis'
isInDomain(x, referenceMeasure)

## S3 method for class 'ReferenceMeasureTransformed'
isInDomain(x, referenceMeasure)

## S3 method for class 'ReferenceMeasureDiscrete'
isInDomain(x, referenceMeasure)

## S3 method for class 'ReferenceMeasureCartesianProduct'
isInDomain(x, referenceMeasure)

Arguments

x	values to be checked to be in the reference measure
referenceMeasure	the referenceMeasure to be checked against. It can be provided indirectly.

Value

a logical vector of the same length as 'x', 'TRUE' where the corresponding value lies in the domain (support) of the reference measure and 'FALSE' otherwise.

Methods (by class)

• isInDomain(BayesSpace): method for BayesSpaces

• isInDomain(L2Space): method for L2Spaces

• isInDomain(BayesSpaceBasis): method for BayesSpaces

• isInDomain(ReferenceMeasureTransformed): method for ReferenceMeasureTransformed. The domain is always an open interval, where 0<cdf(x)<1.

• isInDomain(ReferenceMeasureDiscrete): method for discrete Reference Measures

• isInDomain(ReferenceMeasureCartesianProduct): method for product measures

See Also

isInDomain.ReferenceMeasureUniform

Other ReferenceMeasures: B2N01, ReferenceMeasureDiscrete(), ReferenceMeasureTransformed(), ReferenceMeasureUniform(), StdReferenceMeasureUnif01, expectation(), getSample()

Examples

isInDomain(1:10,B2Unif01)

DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.