/usr/share/dynare/matlab/@dseries/lag.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 | function us = lag(ts,p) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {@var{us} =} lag (@var{ts})
%! @anchor{lag}
%! @sp 1
%! Computes lagged time series.
%! @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) 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/>.
% Set default number of lags
if nargin<2
p = 1;
end
if p<=0
error('dseries::lag: Second input argument must be strictly positive! Use lead method instead.')
end
% Copy of ts dseries object
us = ts;
% Update data member
us.data = [NaN(p,ts.vobs); ts.data(1:end-p,:)];
for i=1:ts.vobs
us.name(i) = {[ 'lag(' ts.name{i} ',' int2str(p) ')']};
us.tex(i) = {[ ts.tex{i} '_{-' int2str(p) '}']};
end
%@test:1
%$ t = zeros(4,1);
%$
%$ try
%$ data = transpose(0:1:50);
%$ ts = dseries(data,'1950Q1');
%$ a = ts.lag;
%$ b = ts.lag.lag;
%$ c = lag(ts,2);
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$ if length(t)>1
%$ DATA = [NaN(1,ts.vobs); transpose(0:1:49)];
%$ t(2) = dyn_assert(a.data,DATA,1e-15);
%$ DATA = [NaN(2,ts.vobs); transpose(0:1:48)];
%$ t(3) = dyn_assert(b.data,DATA,1e-15);
%$ t(4) = dyn_assert(b.data,c.data,1e-15);
%$ end
%$
%$ T = all(t);
%@eof:1
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