three_diff_linear: Generate Three Different Linear Data with Noise

In cardinalR: Collection of Data Structures

Generate Three Different Linear Data with Noise

Description

This function generates a dataset consisting of three different linear patterns with added noise.

Usage

three_diff_linear(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 three different linear data with added noise.

Examples

set.seed(20240412)
three_diff_linear <- three_diff_linear(
  n = 150, num_noise = 2, min_n = -0.05,
  max_n = 0.05
)

cardinalR documentation built on May 29, 2024, 4:37 a.m.