s_curve: S-curve data set.

In jlmelville/snedata: SNE Simulation Dataset Functions

S-curve data set.

Description

Simulation data randomly sampled from an S-shaped curve. Translated from the scikit-learn Pythom function sklearn.datasets.make_s_curve.

Usage

s_curve(n_samples = 100, noise = 0)

Arguments

n_samples	The number of points to create.
noise	Add random noise normally-distributed with mean 0 and standard deviation noise.

Details

Creates a series of points sampled from an S-shaped curve in 3D, with optional normally-distributed noise. The S shape is oriented such that you should be able to see it if you plot the X and Z columns.

Points are colored based on their distance along the curve.

Value

Data frame with x, y, z columns containing the coordinates of the points and color the RGB color.

References

Buitinck, L., Louppe, G., Blondel, M., Pedregosa, F., Mueller, A., Grisel, O., ... & Varoquaux, G. (2013). API design for machine learning software: experiences from the scikit-learn project. arXiv preprint arXiv:1309.0238.

jlmelville/snedata documentation built on Jan. 13, 2024, 2:06 a.m.