using logistic regression on matlab for given x and y
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Hello
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.
Any thoughts?
(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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Respuestas (1)
Tom Lane
el 19 de Nov. de 2012
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)
2 comentarios
Lalit Patil
el 15 de Dic. de 2012
Sir, i seen your answer, and i have done the same thing at below link using SVD.. Here i am getting four coefficients..
So, can i do the same thing with your method to find the coefficients..?
Tom Lane
el 20 de Dic. de 2012
I don't see the connection between your logistic question and the svd issue.
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