caseE: Expected values of functions of distributions

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Expected values of functions of distributions

Description

Ideally this should always be called on the original samples.

Usage

caseE(x, X, ...)

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

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

Arguments

x	the dataset of distributions,
X	the real random variable, i.e. a real function define on whats random in the distributions
...	further arguments to called functions (e.g. quantile)

Value

a vector, matrix or with the Expected values for each element of x. if the expected value is multivariate the last dimension iterates over the cases in x.

Methods (by class)

• caseE(BDataSamples): method for BDataSamples simply uses means

• caseE(BData): method for distributions

See Also

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

Examples

data(DTD)
X = BDataSamples(DTD$data %.% shape,basis=B2Unif01Basis5)
caseE(X,X=function(x) x,probs=c(0.25,0.75))
caseE(X,X=function(x) x^2,probs=0.5)

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