noise_gen: Generate Synthetic Noise

In spinebil: Investigating New Projection Pursuit Index Functions

Generate Synthetic Noise

Description

Generate Synthetic Noise

Usage

noise_gen(n = 500, type = "gaussian", level = 0.01, seed = NULL)

Arguments

n	Integer. Number samples to generate. Default is 500.
type	Character string specifying the type of noise to generate. Supported types: "gaussian": Standard normal distribution. "uniform": Uniform distribution between -level and +level. "lognormal": Log-normal distribution. "t_distributed": Heavy-tailed t-distribution with 3 degrees of freedom. "cauchy": Extremely heavy-tailed Cauchy distribution. "beta_noise": Beta distribution shifted and scaled to ⁠[-level, level]⁠. "exponential": Positive-only exponential distribution. "microstructure": Oscillatory sinusoidal pattern with additive Gaussian noise.
level	Numeric. Controls the scale (standard deviation, range, or spread) of the noise. Default is 0.01.
seed	Optional integer. Sets a random seed for reproducibility.

Value

A tibble with two columns:

• value: Numeric vector of generated noise samples.

• type: Character string indicating the type of noise.

Examples

# Gaussian noise with small scale
noise_gen(500, type = "gaussian", level = 0.05)

# Heavy-tailed noise
noise_gen(500, type = "t_distributed", level = 0.1)

spinebil documentation built on Nov. 5, 2025, 7:35 p.m.