compute_derivative: Compute Derivative of Data

In Kneerav/biomechanics: Biomechanics Data Analysis

Compute Derivative of Data

Description

This function computes the derivative of data (e.g., angular position) using either a smooth spline fit or numerical gradient.

Usage

compute_derivative(x, y, method = c("spline", "gradient"), deriv = 1)

Arguments

x	A numeric vector representing the independent variable (e.g., time).
y	A numeric vector representing the dependent variable (e.g., angular position).
method	A character string specifying the method to compute the derivative. Options are "spline" for smooth spline fitting or "gradient" for numerical gradient using pracma::gradient. Default is "spline".
deriv	An integer specifying the order of the derivative. Default is 1 for the first derivative. Higher values (e.g., 2) will return higher derivatives (second derivative, etc.).

Value

A numeric vector representing the derivative (e.g., angular velocity or acceleration).

Kneerav/biomechanics documentation built on July 16, 2025, 4:51 p.m.