plot average for multiple curves with different lengths
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I plotted multiple curves in the same plot and would like to calculate and plot an average of those. The problem is, that they have different lengths - meaning some have above 280 lines while others have only 120. I've found several suggestions to work with interp1, create a separate y vector and plot the average x values accordingly. However, the suggested codes that I found didn't work for me or since I'm a beginner, I wasn't really able to adapt them to my specific case.
This what I have so far:
%%load replicate measurements 1-6 in workspace
% define variables
% define 1. deployment
force = TauM1 (:,2);
depth = TauM1 (:,1);
x1 = force;
y1 = depth;
% define 2. deployment
force = TauM2 (:,2);
depth = TauM2 (:,1);
x2 = force;
y2 = depth;
...did that for all 6 measurements...
%%plot all 6 replicate deployments in one line plot
plot (x1,y1)
hold on
plot (x2,y2)
hold on
plot (x3,y3)
hold on
plot (x4,y4)
hold on
plot (x5,y5)
hold on
plot (x6,y6)
hold off
How would I be able for example to create a separate y vector from 0 to 55 and then average the interpolated x values from all 6 curves?
Thanks in advance
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Antworten (1)
Image Analyst
am 4 Sep. 2018
you forgot to attach your data and screenshots of your plots. About all I can say is to sum up your 6 y signals and divide by 6.
Possible solution:
yAverage = (y1+y2+y3+y4+y5+y6)/6;
plot(yAverage, 'k-', 'LineWidth', 3);
grid on;
7 Kommentare
Image Analyst
am 5 Sep. 2018
Just check if the xAxis values are more than the max x for each signal.
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