distanceToCenter: Distance to Center

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Distance to Center

Description

Computes the distance of a datapoint to the center of a dataset, for the definition of central regions.

Usage

distanceToCenter(x, na.rm = TRUE, ...)

## Default S3 method:
distanceToCenter(
  x,
  na.rm = TRUE,
  ...,
  distType = c("meandistance", "median", "spatialdepth")
)

Arguments

x	the dataset
na.rm	boolean whether to remove na values in dist
...	further parameters to dist
distType	"meandistance" for mean distance to datapoints, "median" for distance to median, "spatialdepth" for one minus spatial depth.

Value

A numeric vector of distances of each observation to the centre of the dataset.

Methods (by class)

• distanceToCenter(default): default method

See Also

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

Examples

x = rnorm(100)

plot(x,distanceToCenter(x,distType="median"),col="green")
points(x,distanceToCenter(x,distType="meandist"))
points(x,distanceToCenter(x,distType="spatialdepth"),col="red")

data(DTD)
Xpdf    = BDataPDFs(DTD$shapePDF,basis=B2Unif01Basis5)
distanceToCenter(Xpdf)

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