function data = data_majdak2013ctc(varargin)
%DATA_MAJDAK2013CTC Listener-specific localization in sagittal planes
% Usage: data = data_majdak2013ctc(condition)
% data = data_majdak2013ctc(lat, dlat, condition)
%
% Output parameters:
% data.id : listener ID
% data.mtx : experimental data matrix conaining 9 colums
% col 1: target azimuth
% col 2: target elevation
% col 3: response azimuth
% col 4: response elevation
% col 5: lateral angle of target
% col 6: polar angle of target
% col 7: lateral angle of response
% col 8: polar angle of response
%
% DATA_MAJDAK2013CTC(condition) returns listener-specific experimental
% data from Majdak et al. (2013) testing localization performance in
% sagittal planes for repeated HRTF measurements motivated by CTC binaural
% synthesis.
%
% The condition flag may be one of:
%
% 'Learn' Last 300 trials of acoustical training with visual feedback.
% 'A' First HRTF measurement. This is the default.
% 'B' Second HRTF measurement.
%
%
% References:
% P. Majdak, B. Masiero, and J. Fels. Sound localization in
% individualized and non-individualized crosstalk cancellation systems.
% J. Acoust. Soc. Am., 133:2055-68, 2013.
%
%
% Url: http://amtoolbox.sourceforge.net/amt-0.9.9/doc/data/data_majdak2013ctc.php
% Copyright (C) 2009-2015 Piotr Majdak and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 0.9.9
%
% This program is free software: you can redistribute it and/or modify
% it under the terms of the GNU General Public License as published by
% the Free Software Foundation, either version 3 of the License, or
% (at your option) any later version.
%
% This program is distributed in the hope that it will be useful,
% but WITHOUT ANY WARRANTY; without even the implied warranty of
% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
% GNU General Public License for more details.
%
% You should have received a copy of the GNU General Public License
% along with this program. If not, see <http://www.gnu.org/licenses/>.
% AUTHOR: Robert Baumgartner
%% Check input options
% Define input flags
definput.flags.condition = {'A','B','Learn'};
% Parse input options
[flags,kv] = ltfatarghelper({},definput,varargin);
%% Extract data
x=amt_load('majdak2013ctc','data.mat');
C = find(ismember(x.condition,flags.condition));
for ll = 1:length(x.subject)
data(ll).mtx = real(x.subject(ll).expData{C}(:,1:8));
data(ll).id = x.subject(ll).id;
end