Dear all, I am interested to know how does MATLAB under the syntax YYaxis was able to fitted two signals with different scales. For instant, in the documentation under the example Highway Data, MATLAB fitted perfectly the Licensed Drivers and Vehicle Miles Traveled. Is it just a proportional fit such that using very simple convex optimization problem, where X = bY? I had tried to run the code line by line as it travel across different functions, however, unless I overlook, there was no specific line that show the fitting process between the signal/variables.
Do you mind to share what approach or technique that MATLAB used to get the common scale? I believe, by understand the principle behind it, we can further tune the code that suit our requirement.
Thanks in advance!.
The code for the said example as below
load('accidents.mat','hwydata')
ind = 1:51;
drivers = hwydata(:,5);
yyaxis left
scatter(ind,drivers)
title('Highway Data')
xlabel('States')
ylabel('Licensed Drivers (thousands)')
pop = hwydata(:,7);
yyaxis right
scatter(ind,pop)
ylabel('Vehicle Miles Traveled (millions)')
