File Exchange

image thumbnail

Honeycomb

version 1.0.0.1 (31.3 KB) by Erik
Tools for hexagonal binning (honeycomb plot) and visualisation

3 Downloads

Updated 07 Sep 2017

GitHub view license on GitHub

[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.

Comments and Ratings (4)

Erik

@Yrobel Lima
What is the exact error message you are getting? What is the exact command that you used to call 'honeycomb(...)'? And what are the data types you used in that command? The basic syntax is 'honeycomb(x, y)', in which x and y are numeric.
Since the error is thrown on line 48: the 'Debug' Name-Value pair argument should not be used, unless you want to debug the plots, then it should be set to true.

Yrobel Lima

Hi,
I have the following error:
Error in ==> honeycomb at 48
parser.addParameter('Debug', defaults.Debug, @islogical).

How can I associate a data series with this array?

Thanks

Good job!

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

Inspired by: Hexagonal Scatter Plot, hexscatter.m