isInDomain.ReferenceMeasureUniform: assess whether a vector of points belong to the domain of the...
In DistributionalDDA: Distributional Data Analysis in Bayes Spaces
isInDomain.ReferenceMeasureUniform R Documentation
assess whether a vector of points belong to the domain of the uniform reference measure
Description
unlike typical measures the domain is closed, i.e. the extreme
values are considered part of the support.
Usage
## S3 method for class 'ReferenceMeasureUniform'
isInDomain(x, referenceMeasure)
Arguments
x
a dataset of points to be checked
referenceMeasure
the ReferenceMeasureUniform object,
providing the domain
Value
a logical vector of TRUE/FALSE with a length length(x)
Examples
isInDomain(c(1:10),ReferenceMeasureUniform(0,1))
DistributionalDDA documentation built on Oct. 20, 2026, 5:06 p.m.
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| isInDomain.ReferenceMeasureUniform | R Documentation |
assess whether a vector of points belong to the domain of the uniform reference measure
Description
unlike typical measures the domain is closed, i.e. the extreme values are considered part of the support.
Usage
## S3 method for class 'ReferenceMeasureUniform'
isInDomain(x, referenceMeasure)
Arguments
x |
a dataset of points to be checked |
referenceMeasure |
the ReferenceMeasureUniform object, providing the domain |
Value
a logical vector of TRUE/FALSE with a length length(x)
Examples
isInDomain(c(1:10),ReferenceMeasureUniform(0,1))
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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