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Code 1-5 of 5   

r2 = rsquare(y,f)

RSQUARE computes the coefficient of determination (R-square) value from
actual data Y and model data F.

Y : Actual data
F : Model fit

R2 : Coefficient of determination

x = 0:0.1:10;
y = 2.*x + 1 + randn(size(x));
p = polyfit(x,y,1);
f = polyval(p,x);
r2 = rsquare(y,f);

a = lorentzfit1(x,y,a0)

LORENTZFIT1 fits the input Y(X) with a Lorentzian function of the form
Y'(X) = 1./(A(X.^2 + 1)) (i.e. 1-parameter model).

X : Independent variable values
Y : Dependent...

a = lorentzfit3(x,y,a0)

LORENTZFIT3 fits the input Y(X) with a Lorentzian function of the form
Y'(X) = A1./((X - A2).^2 + A3) (i.e. 3-parameter model).

X : Independent variable values
Y :...

SIMPSON: Simpson's rule for quadratic and cubic numerical integration
RES = SIMPSON(Y) computes an approximation of the integral of Y via
Simpson's 1/3 rule (with unit spacing). Simpson's 1/3 rule uses
quadratic interpolants for...

MATLAB GUI for exploring 3D datasets through a sleek and simple interface (sample dataset included)
ORTHOVIEW3D GUI for interactive viewing of 3D Volumes
ORTHOVIEW3D is used to view orthographic slices of 3D volumes