rawfd2dataf: Transform Raw Functional Data to a 'dataf' Object

In ddalpha: Depth-Based Classification and Calculation of Data Depth

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 n*d, or an array of dimension n*d*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, [e-mail]

See Also

dataf2rawfd

depthf.fd1

depthf.fd2

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 documentation built on March 23, 2022, 9:07 a.m.