caseQuantiles: Quantiles of distributions in a data set of distributions

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Quantiles of distributions in a data set of distributions

Description

Ideally this should always be called on the original samples.

Usage

caseQuantiles(X, ...)

## S3 method for class 'BDataSamples'
caseQuantiles(X, ...)

## S3 method for class 'BData'
caseQuantiles(X, ...)

Arguments

X	the dataset, typically a BData object
...	further arguments to called functions (e.g. quantile)

Value

a vector or a matrix (with different probabilities in colums) of quantiles of the distributions in the dataset.

Methods (by class)

• caseQuantiles(BDataSamples): method for BDataSamples, simply calles [stats::quantile]

• caseQuantiles(BData): method for BData not yet implemented

See Also

Other caseStatistics: caseE(), caseLogRatios(), caseMeans(), caseSds(), caseVars(), centralityQuantile(), distanceToCenter(), median.BData(), spatialDepth()

Examples

data(DTD)
X = BDataSamples(DTD$data %.% shape,basis=B2Unif01Basis5)
caseQuantiles(X,probs=c(0.25,0.75))
caseQuantiles(X,probs=0.5)

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