/usr/share/dynare/matlab/@dseries/qdiff.m is in dynare-common 4.4.1-1build1.
This file is owned by root:root, with mode 0o644.
The actual contents of the file can be viewed below.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 | function us = qdiff(ts) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {@var{us} =} qdiff (@var{ts})
%! @anchor{qdiff}
%! @sp 1
%! Computes quaterly differences.
%! @sp 2
%! @strong{Inputs}
%! @sp 1
%! @table @var
%! @item ts
%! Dynare time series object, instantiated by @ref{dseries}
%! @end table
%! @sp 2
%! @strong{Outputs}
%! @sp 1
%! @table @var
%! @item us
%! Dynare time series object with transformed data field.
%! @end table
%! @end deftypefn
%@eod:
% Copyright (C) 2012-2013 Dynare Team
%
% This file is part of Dynare.
%
% Dynare 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.
%
% Dynare 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 Dynare. If not, see <http://www.gnu.org/licenses/>.
us = ts;
switch ts.freq
case 1
error('dseries::qgrowth: I cannot compute quaterly differences from yearly data!')
case 4
us.data(2:end,:) = ts.data(2:end,:)-ts.data(1:end-1,:);
us.data(1,:) = NaN;
for i = 1:ts.vobs
us.name(i) = {['qdiff(' us.name{i} ')']};
us.tex(i) = {['\Delta ' us.tex{i}]};
end
case 12
us.data(4:end,:) = ts.data(4:end,:)-ts.data(1:end-3,:);
us.data(1:3,:) = NaN;
for i = 1:ts.vobs
us.name(i) = {['qdiff(' us.name{i} ')']};
us.tex(i) = {['\Delta_3 ' us.tex{i}]};
end
case 52
error('dseries::qgrowth: I do not know yet how to compute quaterly differences from weekly data!')
otherwise
error(['dseries::ygrowth: object ' inputname(1) ' has unknown frequency']);
end
%@test:1
%$ t = zeros(2,1);
%$
%$ try
%$ data = transpose(0:1:50);
%$ ts = dseries(data,'1950Q1');
%$ ts = ts.qdiff;
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if length(t)>1
%$ DATA = NaN(1,ts.vobs);
%$ DATA = [DATA; ones(ts.nobs-1,ts.vobs)];
%$ t(2) = dyn_assert(ts.data,DATA,1e-15);
%$ end
%$
%$ T = all(t);
%@eof:1
%@test:2
%$ t = zeros(2,1);
%$
%$ try
%$ data = transpose(0:1:80);
%$ ts = dseries(data,'1950M1');
%$ ts = ts.qdiff;
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if length(t)>1
%$ DATA = NaN(3,ts.vobs);
%$ DATA = [DATA; 3*ones(ts.nobs-3,ts.vobs)];
%$ t(2) = dyn_assert(ts.data,DATA,1e-15);
%$ end
%$
%$ T = all(t);
%@eof:2
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