BARPATCH | Highly customizable bar graph w/error bars

version 1.3.0.0 (7.72 KB) by Bob Spunt
Create and customize a bar graph with error bars. Supports grouped data.

517 Downloads

Updated 31 Oct 2016

From GitHub

View License on GitHub

This function will create a grouped bar graph with error bars without using the standard plotting functions BAR and ERRORBAR. It uses PATCH to create the bars and LINE to construct the error bars.
USAGE: h = barpatch(data, varargin)

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OUTPUT

h: handles to all graphics objects

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INPUTS

data: data matrix to plot; rows are cases, columns are variables
varargin: optional arguments entered as "name,value" pairs (to see default values, run barpatch without arguments). partial matches OK:

figh - handle for figure to plot in
groupidx - rows index columns of "data" to plot as a group
groupname - labels for different groups of bars
grouptick - flag to place tickmark between groups on x-axis
barname - labels for different bars within groups (in legend)
barcmap - colormap for distinguishing bars within a group
barwidth - width of bars (>1 produces overlapping bars)
errlinewidth- width of error bar lines
t - figure title
xl - x-axis label
yl - y-axis label
fontsize - base font size
fontname - name of font to use
ytickformat - display formatting for yticklabels (e.g., '%.2f')
yticklength - # of yticks (if empty, determined automatically)

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USAGE EXAMPLE

data = randn(10, 8);
groupidx = [1 2; 3 4; 5 6; 7 8];
groupn = {'Group A' 'Group B' 'Group C' 'Group D'};
xl = 'X-Axis Label';
yl = 'Y-Axis Label';
t = 'The Figure Title';
h = barpatch(data, 'groupidx', groupidx, 'groupname', groupn, 'xl', xl, 'yl', yl, 't', t);

Cite As

Bob Spunt (2022). BARPATCH | Highly customizable bar graph w/error bars (https://github.com/spunt/barpatch), GitHub. Retrieved .

MATLAB Release Compatibility
Created with R2015b
Compatible with any release
Platform Compatibility
Windows macOS Linux

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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.