nonlinear_mirror {cardinalR}

Generate Nonlinear Mirror Data with Noise

Description

This function generates a dataset representing two mirror-image clusters with added noise.

Usage

nonlinear_mirror(n, num_noise, min_n, max_n)

Arguments

n

The total number of samples to generate.

num_noise

The number of additional noise dimensions to add to the data.

min_n

The minimum value for the noise dimensions.

max_n

The maximum value for the noise dimensions.

Value

A matrix containing the nonlinear mirror data with noise.

Examples

set.seed(20240412)
nonlinear_mirror <- nonlinear_mirror(
  n = 400, num_noise = 2, min_n = -0.05,
  max_n = 0.05
)