function data = data_middlebrooks1999
%DATA_MIDDLEBROOKS1999 Statistics about non-individualized HRTFs
%   Usage: data = data_middlebrooks1999
%
%   Output parameters:
%     data.le_own   : local lateral RMS error (LE) when localizing with own
%                     HRTFs
%     data.le_other : LE when localizing with others' HRTFs
%     data.lb_own   : magnitude of lateral bias (LB) when localizing with own
%                     HRTFs; upper-rear quadrant excluded from analysis
%     data.lb_other : LB when localizing with others' HRTFs
%     data.qe_own   : quadrant error rate (QE) when localizing with own
%                     HRTFs
%     data.qe_other : QE when localizing with others' HRTFs
%     data.pe_own   : local polar RMS error (PE) when localizing with own
%                     HRTFs
%     data.pe_other : PE when localizing with others' HRTFs
%     data.pb_own   : magnitude of polar bias (PB) when localizing with own
%                     HRTFs; upper-rear quadrant excluded from analysis
%     data.pb_other : PB when localizing with others' HRTFs
%
%   DATA_MIDDLEBROOKS1999 returns statistics summary from Fig. 13
%   (Middlebrooks, 1999b) showing the effect of non-individualized HRTFs.
%
%   Statistics of those parameters are stored as .mean and .quantiles*
%   representing the arithmetic mean and {0,5,25,50,75,95,100} quantiles,
%   respectively.
%
%   References:
%     J. C. Middlebrooks. Virtual localization improved by scaling
%     nonindividualized external-ear transfer functions in frequency. J.
%     Acoust. Soc. Am., 106:1493--1510, 1999.
%     
%
%   Url: http://amtoolbox.org/amt-1.1.0/doc/data/data_middlebrooks1999.php

% Copyright (C) 2009-2021 Piotr Majdak, Clara Hollomey, and the AMT team.
% This file is part of Auditory Modeling Toolbox (AMT) version 1.1.0
%
% 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, Roberto Barumerli

% Quantiles: {0,5,25,50,75,95,100}%

% LE
data.le_own.quantiles = [10.93, 12.12, 13.07, 14.19, 15.61, 17.06, 19.66];
data.le_own.mean = 14.54;
data.le_other.quantiles = [12.25, 14.70, 16.06, 16.88, 19.46, 22.55, 25.45];
data.le_other.mean = 17.04;

% LB
data.lb_own.quantiles = [-0.01, 0.15, 2.43, 3.80, 5.81, 7.11, 8.39];
data.lb_own.mean = 3.85;
data.lb_other.quantiles = [0.12, 0.42, 1.71, 4.23, 11.82, 13.39, 14.17];
data.lb_other.mean = 6.01;

% QE
data.qe_own.quantiles = [0,0,1,3.5,5,13,17];
data.qe_own.mean = 4.5;
data.qe_other.quantiles = [7.5,8,12.5,19,27.5,38,39];
data.qe_other.mean = 21;

% PE
data.pe_own.quantiles = [21,23,25,27,30,34,36];
data.pe_own.mean = 28;
data.pe_other.quantiles = [23,33,38,42,48,54,55];
data.pe_other.mean = 42.5;

% EB
data.pb_own.quantiles = [1,2.5,6,10,13,20,25.5];
data.pb_own.mean = 10;
data.pb_other.quantiles = [0.5,2,7,18,29,42,52.5];
data.pb_other.mean = 19;
end