ddalpha: rawfd2dataf – R documentation

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rawfd2dataf

Transform Raw Functional Data to a dataf Object

Description

Constructs a (possibly multivariate) functional data object given by an array of its functional values evaluated at an equi-distant grid of points, and transforms it into a dataf object more suitable for work in the ddalpha package.

Usage

rawfd2dataf(X, range)

Arguments

`X`	Either a matrix of size `nd`, or an array of dimension `nd*k` of functional values. Here `n` stands for the number of functions, `d` is the number of equi-distant points in the domain where the functional values are evaluated, and if applicable, `k` is the dimensionality of the (vector-valued) functional data.
`range`	A vector of size two that represents the endpoints of the common domain of all functions `X`.

Value

A (possibly multivariate) dataf object corresponding to the functional data X evaluated at an equi-distant grid of points.

Author(s)

Stanislav Nagy, nagy at karlin.mff.cuni.cz

Examples

## transform a matrix into a functional data set
n = 5
d = 21
X = matrix(rnorm(n*d),ncol=d)
rawfd2dataf(X,range=c(0,1))

## transform an array into a multivariate functional data set
k = 3
X = array(rnorm(n*d*k),dim=c(n,d,k))
rawfd2dataf(X,range=c(-1,1))

ddalpha

Depth-Based Classification and Calculation of Data Depth

v1.3.11

GPL-2

Authors

Oleksii Pokotylo [aut, cre], Pavlo Mozharovskyi [aut], Rainer Dyckerhoff [aut], Stanislav Nagy [aut]

Initial release

2020-01-09