Plot with error bars to show upper and lower bounds
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I'm looking to generate a plot where the upper and lower bounds of the data are displayed above and below the mean. There is a package that allows you to plot the upper and lower boundaries of a curve, but I would like to do this for a scatter plot. To my knowledge, I can't use errorbar, because the anticipated inputs are standard deviations. What I need is something that frames the upper and lower bounds of the data. For instance if the mean = 10, the lower bound may be 7 and the upper bound may be 15. Ideally, in this hypothetical situation, I want a point at 10 and bar that extends from 7 to 15. Any suggestions?
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Star Strider
2017-11-2
The errorbar error bar limits can be anything you want them to be. They are not restricted to be standard deviations or anything else.
Example —
x = 1:10; % Create Data
y = randi(9, 1, 10); % Create Data
ub = y + randi(5, 1, 10); % Create Data: Upper Bound
lb = y - randi(3, 1, 10); % Create Data: Lower Bound
figure(1)
errorbar(x, y, lb, ub, 'pg')
axis([0 11 ylim])
4 个评论
Cara Fertitta
2017-11-2
I understand that you can assign whatever values you'd like as "error" using errorbar, but this solution does not work. Retaining my earlier example, if I enter: x = 1; y = 10; ub = y + 5; lb = y - 3; errorbar(x,y,lb,ub)
I get a plot with a point at 10 and error bars ranging from about 3 to 25. I want the error bars to run (in this example) from 7 to 15.
Star Strider
2017-11-2
If you specify them as functions of ‘y’, they will be added to or subtracted from ‘y’, and then plotted at those points. (I did that in my example only to be certain that the random ‘lb’ and ‘ub’ values did not conflict with each other or with the value of ‘y’.)
If you want them to be plotted at specific values, simply specify those values.
Example —
x = [1 2];
y = [10 11];
ub = [5 3];
lb = [3 5];
figure(2)
errorbar(x, y, lb, ub)
axis([0 3 0 20])
grid
That will plot them exactly as you want them.
Cara Fertitta
2017-11-2
Star Strider
2017-11-2
As always, my pleasure!
I apologise for the earlier confusion.
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