I have a set of x and y values that i want to plot the logistic regression of.
I was looking at glmft built in function but it seems to take more than inputs x and y
All i wanna do is to come up with logistic fit of the given x and y values on x y plane.
(I do have cf toolbox but the program needs to be self contained and i m looking for a built in function or a code that spits out coefficients for logistic model)
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Here's a way to fit a logistic curve to continuous data using Curve Fitting:
>> x = rand(100,1); >> y = 1./(1+exp(-3*(x-.5))) + randn(size(x))/100; >> fit(x,y,'1./(1+exp(b1+b2*x))','start',[ -1 1]) ans = General model: ans(x) = 1./(1+exp(b1+b2*x)) Coefficients (with 95% confidence bounds): b1 = 1.517 (1.494, 1.54) b2 = -3.037 (-3.079, -2.996)
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