[la,le,ci,lr,pvalue] = baumgartner2014_likelistat(p,tang,rang,target,response,varargin)
Input arguments: 'p pdf matrix'
'tang' | polar angles of possible target angles |
'rang' | polar angles of possible response angles |
'target' | target polar angles of localization test |
'response' | response polar angles of localization test |
'varargin' | Use 'normalize for normalization of likelihoods. 1 corresponds to unitary likelihood. This is the default. Use 'original' according to Langendijk et al. (2002). |
Output arguments: 'la actual likelihood'
'le' | expected likelihood |
'ci' | 99% confidence interval for expected likelihood |
'lr' | reference likelihoods 1st dim: unimodal (1 gaussian dist.: std=17 deg, mu=0) 2nd dim: bimodal (2 gaussians: mu1=0, mu2=180) 3rd dim: trimodal (mu1=0, mu2=90, mu3=180) 4th dim: unitary |