as.BDataFrequencyHistograms: Converts to a BDataFrequencyHistograms

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Converts to a BDataFrequencyHistograms

Description

Only samples and BDataFrequencyHistograms themselfs can be effectively converted to histograms, because all other representations lack information on the certainty

Usage

as.BDataFrequencyHistograms(X, ...)

## S3 method for class 'BDataUnivariateSamples'
as.BDataFrequencyHistograms(
  X,
  breaks = "Sturges",
  ...,
  basis = getBayesSpaceBasis(X)
)

Arguments

X	an object representing a dataset
...	further generic paramters for [hist]
breaks	the breaks parameters of the [hist] function for R
basis	the BayesSpaceBasis marking the BayesSpace and that shall be use for if a BayesSpaceBasis is needed for an operation.

Value

a BDataFrequencyHistograms object representing the same dataset

Methods (by class)

• as.BDataFrequencyHistograms(BDataUnivariateSamples): method for BDataUnivariateSamples

See Also

Other BayesSpaceConverters: as.BDataDensities(), as.BDataDensityHistograms(), as.BDataHistograms(), as.BDataLogDensities(), as.BDataLogPDFs(), as.BDataPDFs(), as.BDataSamples(), as.BDataSplines(), idt.BData(), toHistogram()

Examples

Xsamples = BDataSamples(lapply(1:10,function(i) runif(100)),basis=B2Unif01Basis5)
Xhist    = as.BDataFrequencyHistograms(Xsamples)

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