supportDiscretization: Computes the discretization of a mixed support

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Computes the discretization of a mixed support

Description

This provides discretization points for functions with a individual jumps for the purpose of graphical display, i.e. with equispaced points in lim

Usage

supportDiscretization(support, ...)

## S3 method for class 'RealSupport'
supportDiscretization(support, nEval = 513, ...)

## S3 method for class 'DiscreteSupport'
supportDiscretization(support, ...)

Arguments

support	the [Support] to be discretized (or an object which has a support)
...	further generic arguments
nEval	the number of gridpoints to discretize the continuous part (defaults to 513)

Value

a list with the elements

x	the continuous discretization values
X	the discrete values
Xplot	the location to plot the discrete values
Xlab	labels to plot the discrete values
all	X and x combined
iX	the indices to access X in all
ix	the indices to access x in all

Methods (by class)

• supportDiscretization(RealSupport): method for real supports

• supportDiscretization(DiscreteSupport): method for real supports

Examples

supportDiscretization(Support(1,3,X=seq(1,2,by=0.1)))

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