1function o = qdiff_(o) % --*-- Unitary tests --*-- 2 3% Computes quaterly differences. 4% 5% INPUTS 6% - o [dseries] 7% 8% OUTPUTS 9% - o [dseries] 10 11% Copyright (C) 2012-2017 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 28switch frequency(o) 29 case 1 30 error('dseries::qdiff: I cannot compute quaterly differences from yearly data!') 31 case 4 32 o.data(2:end,:) = o.data(2:end,:)-o.data(1:end-1,:); 33 o.data(1,:) = NaN; 34 case 12 35 o.data(4:end,:) = o.data(4:end,:)-o.data(1:end-3,:); 36 o.data(1:3,:) = NaN; 37 case 52 38 error('dseries::qdiff: I do not know yet how to compute quaterly differences from weekly data!') 39 otherwise 40 error(['dseries::qdiff: object ' inputname(1) ' has unknown frequency']); 41end 42 43for i = 1:vobs(o) 44 if isempty(o.ops{i}) 45 o.ops(i) = {['qdiff(' o.name{i} ')']}; 46 else 47 o.ops(i) = {['qdiff(' o.ops{i} ')']}; 48 end 49end 50 51%@test:1 52%$ try 53%$ data = transpose(0:1:50); 54%$ ts = dseries(data,'1950Q1'); 55%$ ts.qdiff_; 56%$ t(1) = 1; 57%$ catch 58%$ t(1) = 0; 59%$ end 60%$ 61%$ if t(1) 62%$ DATA = NaN(1,ts.vobs); 63%$ DATA = [DATA; ones(ts.nobs-1,ts.vobs)]; 64%$ t(2) = dassert(ts.data,DATA,1e-15); 65%$ end 66%$ 67%$ T = all(t); 68%@eof:1 69 70%@test:2 71%$ try 72%$ data = transpose(0:1:80); 73%$ ts = dseries(data,'1950M1'); 74%$ ts.qdiff_; 75%$ t(1) = 1; 76%$ catch 77%$ t(1) = 0; 78%$ end 79%$ 80%$ if t(1) 81%$ DATA = NaN(3,ts.vobs); 82%$ DATA = [DATA; 3*ones(ts.nobs-3,ts.vobs)]; 83%$ t(2) = dassert(ts.data,DATA,1e-15); 84%$ end 85%$ 86%$ T = all(t); 87%@eof:2 88