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.
Cita come
Erik (2024). Honeycomb (https://github.com/erikhuizinga/honeycomb), GitHub. Recuperato .
Compatibilità della release di MATLAB
Compatibilità della piattaforma
Windows macOS LinuxCategorie
- AI, Data Science, and Statistics > Deep Learning Toolbox > Function Approximation, Clustering, and Control > Function Approximation and Clustering > Clustering >
Tag
Riconoscimenti
Ispirato da: Hexagonal Scatter Plot, hexscatter.m
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.test
private
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
Versione | Pubblicato | Note della release | |
---|---|---|---|
1.0.0.1 |
|