function data = data_majdak2010(varargin)
%DATA_MAJDAK2010 Listener specific localization performance
% Usage: data = data_majdak2010(condition)
%
% DATA_MAJDAK2010(condition) returns listener-specific experimental data
% from Majdak et al. (2010) testing localization performance for various
% experimental methods.
%
% The data struct comprises the following fields:
%
% 'id' listener ID
%
% 'mtx' experimental data matrix containing 9 columns
%
% - target azimuth
% - target elevation
% - response azimuth
% - response elevation
% - lateral angle of target
% - polar angle of target
% - lateral angle of response
% - polar angle of response
%
%
% The condition flag may be one of:
%
% 'HMD_M' Head-mounted display and manual pointing. Testing of naive
% subjects.
% 'HMD_H' Head-mounted display, head pointing, naive subjects.
% 'Dark_M' Dark room, manual pointing, naive subjects.
% 'Dark_H' Dark room, head pointing, naive subjects.
% 'Learn_M' Acoustic learning condition with manual pointing. This is the default.
% 'Learn_H' Acoustic learning condition with head pointing.
%
% References:
% P. Majdak, M. J. Goupell, and B. Laback. 3-D localization of virtual
% sound sources: Effects of visual environment, pointing method and
% training. Atten Percept Psycho, 72:454--469, 2010.
%
%
% Url: http://amtoolbox.org/amt-1.3.0/doc/data/data_majdak2010.php
% #Author: Robert Baumgartner (2016)
% This file is licensed unter the GNU General Public License (GPL) either
% version 3 of the license, or any later version as published by the Free Software
% Foundation. Details of the GPLv3 can be found in the AMT directory "licences" and
% at <https://www.gnu.org/licenses/gpl-3.0.html>.
% You can redistribute this file and/or modify it under the terms of the GPLv3.
% This file is distributed without any warranty; without even the implied warranty
% of merchantability or fitness for a particular purpose.
%% Check input options
% Define input flags
definput.flags.condition = {'Learn_M','Learn_H','HMD_M','HMD_H','Dark_M','Dark_H'};
% Parse input options
[flags,kv] = ltfatarghelper({},definput,varargin);
%% Extract data
x=amt_load('majdak2010','data.mat');
C = find(ismember(x.condition,flags.condition));
for ll = 1:length(x.subject)
if not(isempty(x.subject(ll).expData{C}))
data(ll).mtx = real(x.subject(ll).expData{C}(:,1:8));
end
data(ll).id = x.subject(ll).id;
end