Support: The support of the measures

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

The support of the measures

Description

For this package the support tells what is needed to know for plotting

Usage

Support(a, b, X = c(), lim)

getSupport1DPlottingLimits(x)

getSupportAtoms(x)

getSupport(x, ...)

## S3 method for class 'Support'
getSupport(x, ...)

## S3 method for class 'BayesSpace'
getSupport(x, ...)

## S3 method for class 'BayesSpaceBasis'
getSupport(x, ...)

## S3 method for class 'BData'
getSupport(x, ...)

## S3 method for class 'ReferenceMeasureUniform'
getSupport(x, ...)

## S3 method for class 'ReferenceMeasureDiscrete'
getSupport(x, ...)

## S3 method for class 'ReferenceMeasureTransformed'
getSupport(x, ..., alpha = 0.01)

## S3 method for class 'list'
getSupport(x, ...)

## S3 method for class ''function''
getSupport(
  x,
  ...,
  extrems = c(-1e+20, 1e+20),
  starts = c(exp(seq(-20, 20, by = 0.2)), -exp(seq(-20, 20, by = 0.2)))
)

## S3 method for class 'numeric'
getSupport(x, ...)

## S3 method for class 'ListData'
getSupport(x, ...)

## S3 method for class 'ReferenceMeasureCartesianProduct'
getSupport(x, ...)

## S3 method for class 'varKernel'
getSupport(x, ...)

## S3 method for class 'variationKernel'
getSupport(x, ...)

Arguments

a	lower limit of the continuous support interval (a,b), may be -Inf
b	upper limit of the continuous support interval (a,b), may be Inf, a==b (which should be a value in x) means no continuous support)
X	the discrete values of the support, possibly an empty vector.
lim	the effective xlim to use for plots or continuous evaluations on the support.
x	the object whos support shall be returned
...	further unused arguments for generic use
alpha	a small real number given the portion of the reference support to be ignored to avoid infinite supports.
extrems	a vector of two numerical values used to compute values near -Inf and Inf, to look whether the function is a density (approach zero at both sides) or a cdf (go from 0 to 1)
starts	starting values to find a point where the function is not zero.

Value

An object of class "Support" with the given parameters

Methods (by generic)

• getSupport(Support): method for Support returns itself

Functions

• getSupport1DPlottingLimits(): method for getting plotting limits of supports

• getSupportAtoms(): method for getting values with mass

• getSupport(): get the support associated to an object

• getSupport(BayesSpace): method for BayesSpaces

• getSupport(BayesSpaceBasis): method for BayesSpaces

• getSupport(BData): method for BData

• getSupport(ReferenceMeasureUniform): method for ReferenceMeasureUniform

• getSupport(ReferenceMeasureDiscrete): method for ReferenceMeasureDiscrete

• getSupport(ReferenceMeasureTransformed): method for ReferenceMeasureTransformed

• getSupport(list): combines the supports of all Elements in the list

• getSupport(`function`): tries to identify pdfs and cdfs and useds pdf2Support or cdf2Support, a simple 0,1 otherwise.

• getSupport(numeric): guesses the support through sample2Support

• getSupport(ListData): just calls NextMethod to hand over to the other classes

• getSupport(ReferenceMeasureCartesianProduct): returns the product support

• getSupport(varKernel): getter method for varKernel

• getSupport(variationKernel): getter method for variationKernel

See Also

[ReferenceMeasureCartesianProduct], [SupportCartesianProduct]

Other Support: cdf2Support(), pdf2Support(), plotFuncs(), sample2Support()

Examples

Support(0,1)
Support(X=1:4)
getSupport(StdReferenceMeasureUnif01)
getSupport(StdReferenceMeasureN01)

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