Sigmoid logistic curve fit in matlab

The following Matlab project contains the source code and Matlab examples used for sigmoid logistic curve fit. Optimization of parameters of the sigmoid function     Syntax:         [param]=sigm_fit(x,y)           that is the same that         [param]=sigm_fit(x,y,[],[],[]) % no fixed_params, automatic initial_params           [param]=sigm_fit(x,y,fixed_params) % automatic initial_params         [param]=sigm_fit(x,y,[],initial_params) % use it when the estimation is poor         [param]=sigm_fit(x,y,fixed_params,initial_params,plot_flag)     param = [min, max, x50, slope]     if fixed_params=[NaN, NaN , NaN , NaN] % or fixed_params=[]   optimization of "min", "max", "x50" and "slope" (default)     if fixed_params=[0, 1 , NaN , NaN]   optimization of x50 and slope of a sigmoid of ranging from 0 to 1       Additional information in the second output, STAT   [param,stat]=sigm_fit(x,y,fixed_params,initial_params,plot_flag)       Example:   %% generate data vectors (x and y)   fsigm = @(param,xval) param(1)+(param(2)-param(1)).

The source code and files included in this project are listed in the project files section, please make sure whether the listed source code meet your needs there.

Project Files: 

File NameSize
license.txt 1303
sigm_fit.m 4190