Honeycomb
[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.
Citation pour cette source
Erik (2024). Honeycomb (https://github.com/erikhuizinga/honeycomb), GitHub. Récupéré le .
Compatibilité avec les versions de MATLAB
Plateformes compatibles
Windows macOS LinuxCatégories
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Clustering >
Tags
Remerciements
Inspiré par : Hexagonal Scatter Plot, hexscatter.m
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private
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
Version | Publié le | Notes de version | |
---|---|---|---|
1.0.0.1 |
|