boxplot.BData: Functional Boxplot for BData objects

In DistributionalDDA: Distributional Data Analysis in Bayes Spaces

Functional Boxplot for BData objects

Description

Currently this function used the [fda::fbplot] function on the evaluated functions in compbination with [depthRank] as depth measure.

Usage

## S3 method for class 'BData'
boxplot(
  x,
  ...,
  depth,
  depthType = c("depthquantile", "spatialdepth", "meandistance", "median"),
  support = getSupport(x),
  SD = supportDiscretization(support, nEval),
  nEval = 513,
  xlim = getSupport1DPlottingLimits(support)
)

## S3 method for class 'BDataSplines'
boxplot(x, ...)

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

Arguments

x	a BData object
...	further parameters for [graphics::boxplot] or [fda::fbplot]
depth	the depth used to identify the middle region, increasing inwards towards the median.
depthType	if depth is missing, an algorithm to compute it. The default is "depthquantile", which uses the spatial depth, but ensures a 50 used the spatialdepth directly, the others use the 1-[centralityQuantiles] with the given method.
support	the support on which the functions should be plotted
SD	support discretization of the support (see [supportDiscretization]
nEval	the number of datapoints
xlim	the plotting limits in x direction.

Value

'NULL' invisibly, called for the side effect of producing a functional boxplot.

Functions

• boxplot(BDataSplines): method for BDataSplines uses classical boxplot for the coefficients.

• boxplot(BDataSamples): method for BDataSamples uses classical boxplot for the the datasets.

See Also

fda::fbplot

Examples

X = BDataSplines(matrix(rnorm(10*5),ncol=5),basis=B2Unif01Basis5)
boxplot(X)
boxplot(clr(X),depthType="meandistance")
boxplot(clr(X))

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