Plot symbols the size of error
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I'm wondering if there's a way to plot a distribution with markers that are sized to correlate with your datas absolute uncertainty.
Say for example you have the following script:
x = rand(1,5)*10
err_x = rand(1,5)
y = rand(1,5)*10
err_y = rand(1,5)
errorbar(x, y, err_x, err_x, err_y, err_y)
I'm looking to replace the errorbar function with plot and a marker size that correlates to the size of the uncertainty.
I'd prefer not to plot the errorbars first and manually adjust the marker size. This method also requires a constant uncertainty across all values in a data set.
I'd greatly appreciate the insight.
Star Strider on 1 Oct 2019
I am not certain what you want as a result.
The scatter function is an option:
scatter(x, y, err_x*100)
If you want to plot the errors as ellipses:
a = linspace(0, 2*pi, 10);
elps = [cos(a); sin(a)];
for k = 1:numel(x)
mrkrs(:,:,k) = [err_x(k).*elps(1,:)+x(k); err_y(k).*elps(2,:)+y(k)];
scatter(x, y, '+')
for k = 1:size(mrkrs,3)
Experiment to get the result you want.