Honeycomb

Version 1.0.0.1 (6.71 KB) by Erik
Tools for hexagonal binning (honeycomb plot) and visualisation
533 Downloads
Updated Tue, 12 May 2020 06:35:18 +0000

[Installation]
Put all files somewhere on your MATLAB path. At least, honeycomb.m and the private directory (with contents) should be in the same directory on the MATLAB path.
[Documentation]
Run help honeycomb or doc honeycomb for instructions.

[Example]
The following code produces the image seen on this page.

x = randn(100);
y = rand(size(x));
figure
honeycomb(x, y)
colorbar
title 'Honeycomb plot of uniform vs. normal random data'

[Credits]
The files that inspired this file are listed on this page, but do not contain the same functionality due to different use cases or bugs. Therefore I developed my own implementation of the hexagonal scatter plot. Other sources include:
http://bioconductor.org/packages/2.0/bioc/html/hexbin.html (hexbin for R)
http://dx.doi.org/10.1213/ane.0000000000001665 (scientific article using honeycomb plots, you may not have access to the journal)

[Version]
The true version of this release is 0.1 (as per GitHub), but the File Exchange does not allow version numbers lower than 1.x. Therefore, I've set the version to 1.0.0.1. Future updates will bump the number to be identical on both File Exchange and GitHub.

Cite As

Erik (2024). Honeycomb (https://github.com/erikhuizinga/honeycomb), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2016b
Compatible with any release
Platform Compatibility
Windows macOS Linux
Acknowledgements

Inspired by: Hexagonal Scatter Plot, hexscatter.m

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Version Published Release Notes
1.0.0.1

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.