1function o = diff_(o) % --*-- Unitary tests --*-- 2 3% Computes differences, independently of the frequency. 4% 5% INPUTS 6% - o [dseries] 7% 8% OUTPUTS 9% - o [dseries] 10 11% Copyright (C) 2017 Dynare Team 12% 13% This file is part of Dynare. 14% 15% Dynare is free software: you can redistribute it and/or modify 16% it under the terms of the GNU General Public License as published by 17% the Free Software Foundation, either version 3 of the License, or 18% (at your option) any later version. 19% 20% Dynare is distributed in the hope that it will be useful, 21% but WITHOUT ANY WARRANTY; without even the implied warranty of 22% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the 23% GNU General Public License for more details. 24% 25% You should have received a copy of the GNU General Public License 26% along with Dynare. If not, see <http://www.gnu.org/licenses/>. 27 28o.data(2:end,:) = o.data(2:end,:)-o.data(1:end-1,:); 29o.data(1,:) = NaN; 30 31for i = 1:vobs(o) 32 if isempty(o.ops{i}) 33 o.ops(i) = {['diff(' o.name{i} ')']}; 34 else 35 o.ops(i) = {['diff(' o.ops{i} ')']}; 36 end 37end 38 39%@test:1 40%$ try 41%$ data = transpose(0:1:50); 42%$ ts = dseries(data,'1950Q1'); 43%$ ts.diff_; 44%$ t(1) = 1; 45%$ catch 46%$ t(1) = 0; 47%$ end 48%$ 49%$ if t(1) 50%$ DATA = NaN(1,ts.vobs); 51%$ DATA = [DATA; ones(ts.nobs-1,ts.vobs)]; 52%$ t(2) = dassert(ts.data,DATA,1e-15); 53%$ end 54%$ 55%$ T = all(t); 56%@eof:1