as.BDataDensityHistograms: Convert to a BDataDensityHistograms dataset

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Convert to a BDataDensityHistograms dataset

Description

Density histograms do not require count information, but provide density information about the relative density in the bars.

Usage

as.BDataDensityHistograms(X, ...)

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

Arguments

X	the object to be converted to a BDataDensityHistorams dataset
...	further parameters for the method called
breaks	a numerical vector of the histogram breaks to be used
basis	the BayesSpaceBasis to be used for the resulting object

Value

a BDataDensityHistograms object

Methods (by class)

• as.BDataDensityHistograms(BDataUnivariateSamples): method for samples computing the histogram

See Also

[as.BDataDensityHistograms.list]

Other BDataHistograms: BDataFrequencyHistograms(), as.BDataDensityHistograms.list(), as.BDataFrequencyHistograms.list(), getBreaks(), plot.BDataHistograms()

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

Examples

s = BDataSamples(list(rnorm(300), rnorm(300,1)), basis=B2N01Basis5)
as.BDataDensityHistograms(s)

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