I want to create a 3D plot for something that is very similar to the example in meshgrid (below)
[X,Y] = meshgrid(-2:.2:2, -2:.2:2); Z = X .* exp(-X.^2 - Y.^2); surf(X,Y,Z)
Basically, I have vectors in my definition of Z and I am unsure about how to handle this. My definition of Z is
Z = mean((S - (X*A+Y)).^2);
S and A are vector quantities so this line doesn't make sense. The only solution I can think of here is to create a 3D meshgrid where the third dimension of the length of my vectors S and A (they are the same length). I think this could get tricky though. Is there an easier way.
Example: I have two vectors P and Q like these:
P = [zeros(1, 30) ones(1,40) zeros(1,30)] + .1*randn(1,100);Q=3.4.*([zeros(1, 30) ones(1,40) zeros(1,30)] + .1.*randn(1,100))+5.3;
Because Q is scaled and offset finding the mean squared error between them directly is pointless.
MSE = mean((P-Q).^2);
this MSE doesn't mean much because Q is offset and scaled. I re-define MSE:
myMSE = mean((P-(a*Q+b)).^2)
where a and b are scalars. What I would like to do is plot myMSE as a function of both a and b. IE a is on the x-axis and b is on the y axis and Z is the value for myMSE.
Best Answer