High-Accuracy Gradient for Functional Data

Computes the numerical gradient (first derivative) of functional data using a 5-point stencil for uniform grids (O(h^4) accuracy) or 3-point Lagrange for non-uniform grids. Complementary to deriv.fdata which uses central differences.

Usage

fdata.gradient(fdataobj)

Arguments

fdataobj

An object of class 'fdata'.

Value

An fdata object with the gradient values.

Examples

t <- seq(0, 1, length.out = 100)
X <- matrix(sin(2 * pi * t), nrow = 1)
fd <- fdata(X, argvals = t)
gd <- fdata.gradient(fd)