Just this week, I got a comment from Felipe on a guest post ("Making Pretty Graphs") that I did on Loren's blog. He pointed out this function by Arnaud that helps adjust the size of the horizontal ticks at the top and bottom of the errorbars that I had to fix manually in the post. Thanks Felipe for the tip!
The errorbar automatically determines the tick size based on the limits of the axes, and there is no simple option to change that. However, the function can return a handle to errorbarseries, and you can modify the tick size by digging into its properties. That's what I did in my blog post. Now, it's even easier with Arnaud's errorbar_tick. I echo Felipe's comment on the entry page that it's nice how errorbar_tick works on the handle returned by the errorbar function, rather than recreating the functionality available in errorbar.
Create a standard errorbar plot:
x = 1:10; y = sin(x); e = std(y)*ones(size(x)); h = errorbar(x,y,e, 'o-'); set(h, 'MarkerSize', 10, 'MarkerFaceColor', [.3 1 .3], ... 'MarkerEdgeColor', [0 .5 0]);
Apply errorbar_tick to increase tick size:
Get the MATLAB code
Published with MATLAB® 7.13
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You might find my little updateErrorBars.m tweak on this to be useful. It registers a callback to redraw the error bar widths when the figure is zoomed. I like this because it makes it easy to distinguish a bunch of similar data points because when one zooms in, the error bars no longer overlap.
Yes, I noticed your entry. It’s very nice! I have one comment about the implementation. I’ll post it on your entry page.
Thanks for doing some collaborative work and letting us know about it!
I am a researcher working at the Swiss Federal Institute of Technology (ETH) Zurich. I am writing since I use regularly your grabit.m program, but I have noticed that it lacks the capability of acquiring data from logarithmic plots.
Please find below some suggestions on how to implement this long missing option. I have tested it and it seems to work fine.
% grabit in logarithmic units. By Toni Shiroka, 11.11.2011. % % Let x1 and x2 be two reference points. % The basic idea is that the relative distance of a new point from the origin x1 when expressed in % linear (e.g. pixel) (x2p-x1p) units is the same as the relative distance between the respective % LOGARITHMS, if the scale is logarithmic: % rel_dist = (xnp-x1p)/(x2p-x1p) % in linear units % rel_dist = (log10(xn) - log10(x1)) / (log10(x2) - log10(x1)) % in log units % By solving for xn, one find the expression below. % % The formula con be generalized to natural logarithms by replacing log10 with log. % Of course, one can use it also for semilogx, semilogy, and loglog plots. x1 = 50; % x1 value as shown in graphic (read it from image) x2 = 500; % x2 value as shown in graphic (read it from image) x1p = 45; % x1 value in pixels units (from ginput) x2p =100; % x2 value in pixels units (from ginput) xnp = 78; % x of NEW point in pixels (from ginput). Corresponds to 200 on graphic. % rel_dist = (xnp-x1p)/(x2p-x1p); %relative distance of new point from x1 in (x2p-x1p) units % x of NEW point calculated in graphic units xn = 10^(log10(x2/x1)*(xnp-x1p)/(x2p-x1p) + log10(x1)) % <<---- MAIN FORMULA % Equivalent formulas to the above: % xn = x1*10^(log10(x2/x1)*rel_dist); % xn = x1*10^(log10(x2/x1)*(xnp-x1p)/(x2p-x1p));