mirror_scurves: Generate Mirror S-curve Datasets with Noise

In cardinalR: Collection of Data Structures

Generate Mirror S-curve Datasets with Noise

Description

This function generates mirror S-curve datasets with added noise dimensions.

Usage

mirror_scurves(n, num_noise, min_n, max_n)

Arguments

n	The total number of samples to generate (should be divisible by 2).
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 combined mirror S-curve datasets with added noise.

Examples

set.seed(20240412)
mirror_s_curve_data <- mirror_scurves(
  n = 200, num_noise = 2,
  min_n = -0.05, max_n = 0.05
)

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