caseMeans: Expected values (means) of real-valued distributions

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Expected values (means) of real-valued distributions

Description

Ideally this should always be called on the original samples.

Usage

caseMeans(x, ...)

Arguments

x	the dataset of distributions,
...	further arguments to called functions (e.g. caseE)

Value

a vector or a matrix (with different cases in columns) of the means of the distributions in the dataset. For multivariate (vector-valued) means, the last dimension iterates over the elements of x.

See Also

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

Examples

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

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