caseVars: Variances of real-valued distributions

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Variances of real-valued distributions

Description

Ideally this should always be called on the original samples.

Usage

caseVars(x, ..., X = function(x) x)

## S3 method for class 'BDataSamples'
caseVars(x, ..., X = function(x) x)

## S3 method for class 'BData'
caseVars(x, ..., X = function(x) x)

Arguments

x	the dataset of distributions,
...	further arguments to called functions (e.g. caseE)
X	a function representing the real or vectorial random variable on the distributions in x

Value

A vector or tensor of variances. In case of multiple dimensional means, the last dimension iterates over the elements of x.

Methods (by class)

• caseVars(BDataSamples): method for samples

• caseVars(BData): method for distributions

See Also

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

Examples

data(DTD)
X = BDataSamples(DTD$data %.% shape,basis=B2Unif01Basis5)
caseVars(X)
X = BDataSamples(DTD$data,basis=B2Unif01Basis5)
caseVars(X)

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