Figuring out the most fitting prefix for a vector dataset
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Hello fellow Matlab users,
I'd like to ask for your advice concerning a numerical topic. So I mainly use Matlab for simulation purposes (electrical circuits). My simulations return vectors containing state variables and power / energy quantities. I'm trying to fully automate a report generation with Matlab code but I'm facing a small problem. I'd like to determine the best prefix for a data set. So for example I get a vector with 1000 values. My initial idea was to get the exponents through a mathematical trick floor(10log10(vect)) and then calculate the mean of the vector containing the exponents, which would give me the mean exponent. From the exponent I can determine the nearest prefix (milli, micro...) . My problem is that some simulations return values with an accuracy of 10e-80 which totally falsifies the mean. So do you guys have any idea on how to basically get the mean exponent of a vector dataset ?
I appreciate all your thoughts and answers
6 comentarios
Adam Danz
el 29 de Mayo de 2020
So, try it out, then.
median(x(abs(x)>1e20)) % play around with the threshold value.
If that doesn't work, plot the vector of values and show us the results. Something like this would be useful
figure()
subplot(2,1,1)
plot(y,'o-')
subplot(2,1,2)
histogram(y)
Bakr Al Beattie
el 5 de Jun. de 2020
Editada: Bakr Al Beattie
el 5 de Jun. de 2020
Respuestas (1)
Adam Danz
el 5 de Jun. de 2020
There are no axis labels on the histogram so I'm not sure what it represents. If it represents a distribution of y-values for the orange line in the first subplot, I'd expect a giant bar at x=0 but I don't see that.
I don't undersant what the problem is with taking the median of values greater than some very small number.
m = median(vector(abs(vector)>0.001));
You can play around with the threshold value. If you zoom into the axes using ylim([-.001,.001]) you can see whether all of the undesired data fall into those limits.
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