/usr/share/psychtoolbox-3/Psychometric/FitWeibYN.m is in psychtoolbox-3-common 3.0.9+svn2579.dfsg1-1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 | function [alpha,beta,thresh50] = FitWeibYN(inputs,nYes,nNo,alpha0,beta0,numFunCalls)
% [alpha,beta,thresh50]=FitWeibYN(inputs,nYes,nNo,[alpha0],[beta0],[numFunCalls])
%
% Fits a Weibull function to the passed yes-no data.
%
% Requires the optimization toolbox.
%
% INPUTS:
% inputs Input levels
% nYes Number of yes responses at
% the corresponding input level
% nNo Number of no responses at
% the corresponding input level
% alpha0 Initial guess for alpha (optional)
% beta0 Initial guess for beta (optional)
% OUTPUTS:
% alpha
% beta
% thresh50 50% threshold
%
% See also: FitWeibTAFC, FitFitWeibAlphTAFC, FitCumNormYN, FitLogitYN
%
% 9/15/93 jms Added a pre-fit to get a better initial.
% jms Made 'options' a parameter so that printing could
% be disabled higher up.
% 9/23/93 jms Test the slope of the linear pre-fit to set the upper
% and lower bounds on the fit.
% 2/5/97 dhb Rewrote to parallel TAFC version but kept slope test.
% dhb Check for optimization toolbox.
% 4/18/00 mpr Added an option to set the number of allowed function calls
% 10/13/00 dhb Improve initial guess for alpha. Thanks to Duje Tadin
% for identifying the need for this.
% 3/5/05 dhb Update for optimization toolbox version 2.
% Determine whether function is increasing or decreasing
lineParams = [inputs ones(size(inputs))]\(nYes ./ (nYes+nNo) );
slope = lineParams(1);
% Initial parameters
if (nargin <= 3 || isempty(alpha0))
x0(1) = mean(inputs);
else
x0(1) = alpha0;
end
if (nargin <= 4)
if (slope > 0)
x0(2) = 3.5;
else
x0(2) = -3.5;
end
elseif isempty(beta0)
x0(2) = 3.5;
else
x0(2) = beta0;
end
% Check for needed optimization toolbox, and version.
if (exist('fminunc') == 2)
options = optimset;
options = optimset(options,'Diagnostics','off','Display','off');
options = optimset(options,'LargeScale','off');
x1 = fminunc('WeibYNFitFun',x0,options,inputs,nYes,nNo);
x = fminunc('WeibYNFitFun',x1,options,inputs,nYes,nNo);
elseif (exist('fminu') == 2)
options = foptions;
state = warning; warning('off');
x1 = fminu('WeibYNFitFun',x0,options,[],inputs,nYes,nNo);
x = fminu('WeibYNFitFun',x1,options,[],inputs,nYes,nNo);
warning(state);
else
error('FitWeibYN requires the optional Matlab Optimization Toolbox from Mathworks');
end
% Extract parameters
alpha = x(1);
beta = x(2);
% Compute threshold from fit parameters
thresh50 = FindThreshWeibYN(0.5,alpha,beta);
|