getDiscretizer: Computes Discretization points for nonequidistant...

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Computes Discretization points for nonequidistant discretization

Description

This is a helper function to create nonequidistant discretizations

Usage

getDiscretizer(x, nEval = 513, ...)

## S3 method for class 'BayesSpaceBasis'
getDiscretizer(x, nEval = 513, ...)

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

## S3 method for class 'ReferenceMeasureUniform'
getDiscretizer(x, nEval = 513, ...)

## S3 method for class 'ReferenceMeasureTransformed'
getDiscretizer(x, nEval = 513, ...)

Arguments

x	typically a ReferenceMeasure
nEval	the number of discretization points
...	further parameters with details for more complex references

Value

an object that can be use together with its evaluation on object$all to create a DiscreteFunction

Methods (by class)

• getDiscretizer(BayesSpaceBasis): method for BayesSpaceBasis

• getDiscretizer(ReferenceMeasureDiscrete): method for ReferenceMeasure discrete

• getDiscretizer(ReferenceMeasureUniform): method for ReferenceMeasureUniform

• getDiscretizer(ReferenceMeasureTransformed): method for ReferenceMeasureTransformed

Examples

getDiscretizer(B2Unif01Basis5)
getDiscretizer(B2N01Basis5)

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