confplot
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CONFPLOT is a linear plot utility, extending ERRORBAR to represent continuous confidence/error boundaries as a shaded gray area around the plotted line (i.e. taking advantage of the command 'area').
CONFPLOT(X,Y,L,U) plots the graph of vector X vs. vector Y with 'continuous' confidence/error boundaries specified by the vectors L and U. L and U contain the lower and upper error ranges for each point in Y. The vectors X,Y,L and U must all be the same length.
Comments and Ratings (21)
Updates
| 1.0.0.0 | BSD License update. |
MATLAB Release Compatibility
Platform Compatibility
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Acknowledgements
Inspired: errorshade, errorfill, confplot_t, boundedline.m
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MiguelMauricio (view profile)
thalia (view profile)
much better than errorbar.
Would be cool to be able to specify all the linespecs/parameters than you can using plot
zy z (view profile)
better than errorbar.
Farhad Sedaghati (view profile)
Hoi Wong (view profile)
Great program. I think the last line should be if(nargout>=1) instead of if(nargout>1).
It seems like the program has at most one output argument. It doesn't make much sense to me to specify two output just to get one out.
In fact, MATLAB throws an exception when I tried to specify an output argument. I guess so far everybody does not need the handles :)
Mircea Stoica (view profile)
Shien Kwun Leong (view profile)
Thank you.
Neuralex (view profile)
I'd like to know how I can modify the color of the shade. If I have multiple lines to plot I need different colors for both lines and shades.
thanx
a
Panagiotis (view profile)
It's very useful but there is a conflict with the "legend" command.
Nicolas (view profile)
Compatible with Laprint.
Nathan Orloff (view profile)
Hmmm. Well I gave it a five, because it is easy. Now after using it there are a couple major bugs.
1) It does not output any handles, so you cant conveniently change plot details.
2) It does not allow you to pass a color to shade. So you are stuck with the default options. Errorshade2 can do this, but it is not as easy to implement and debug.
Nathan Orloff (view profile)
Jim (view profile)
I really appreciated this as a starting point, however, like Raymond Reynolds wrote in a comment in 2006, it doesn't do well for overlapping intervals, because you cannot add/control the alpha of the shaded area. An easier, and more useful way to do the plotting is to replace the area with a patch command. This then allows you to directly control the shading and alpha of the area, the only caveat is that you must have bounded ends, so a check to set the first and last points to be the same in the shaded area is needed. I would be happy to send you my code that I edited to do this for you to update this, or (less desirable), I could upload my own version, but I think replacing with patches is a superior method and allows effective viewing of multiple shaded areas.
Kay Thurley (view profile)
Simple and effective. I seem to be using it a lot.
Great! Just what I was looking for. Very tidy way to represent range of values found in noisy data. I used this function and then overlaid errorbar on top.
Ok, but not sure its very good for multiple plots, which is what i want for comparing overlapping intervals- can't easily control which plots overly others.
confplot.m seems ok in the "default mode" (without defining color and linestyle) but has a bug if we try:
For example,
x = 1:0.1:10;
y = sin(x);
e = std(y)*ones(size(x));
confplot(x,y,e,'r')
or even it gives an error if we try:
confplot(x,y,e,'r-')
Very useful but dont work if you have NaN on the error variables.
Very useful. I'm not sure it works in a log scale.
A nice starting point to figure out how to make the error plots I want