using logistic regression on matlab for given x and y
57 views (last 30 days)
Show older comments
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)
0 Comments
Answers (1)
Tom Lane
on 19 Nov 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 Comments
Lalit Patil
on 15 Dec 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
on 20 Dec 2012
I don't see the connection between your logistic question and the svd issue.
See Also
Categories
Find more on Regression in Help Center and File Exchange
Community Treasure Hunt
Find the treasures in MATLAB Central and discover how the community can help you!
Start Hunting!