/usr/share/dynare/matlab/@dseries/ygrowth.m is in dynare-common 4.4.1-1build1.
This file is owned by root:root, with mode 0o644.
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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 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140 141 | function us = ygrowth(ts) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {@var{us} =} ygrowth (@var{ts})
%! @anchor{ygrowth}
%! @sp 1
%! Computes annual growth rates.
%! @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
us.data(2:end,:) = ts.data(2:end,:)./ts.data(1:end-1,:) - 1;
us.data(1,:) = NaN;
for i = 1:ts.vobs
us.name(i) = {['ygrowth(' us.name{i} ')']};
us.tex(i) = {['\delta ' us.tex{i}]};
end
case 4
us.data(5:end,:) = ts.data(5:end,:)./ts.data(1:end-4,:) - 1;
us.data(1:4,:) = NaN;
for i = 1:ts.vobs
us.name(i) = {['ygrowth(' us.name{i} ')']};
us.tex(i) = {['\delta_4 ' us.tex{i}]};
end
case 12
us.data(13:end,:) = ts.data(13:end,:)./ts.data(1:end-12,:) - 1;
us.data(1:12,:) = NaN;
for i = 1:ts.vobs
us.name(i) = {['ygrowth(' us.name{i} ')']};
us.tex(i) = {['\delta_{12} ' us.tex{i}]};
end
case 52
us.data(53:end,:) = ts.data(53:end,:)./ts.data(1:end-52,:) - 1;
us.data(1:52,:) = NaN;
for i = 1:ts.vobs
us.name(i) = {['ygrowth(' us.name{i} ')']};
us.tex(i) = {['\delta_{52} ' us.tex{i}]};
end
otherwise
error(['dseries::ygrowth: object ' inputname(1) ' has unknown frequency']);
end
%@test:1
%$ t = zeros(2,1);
%$
%$ try
%$ data = repmat(transpose(1:4),100,1);
%$ ts = dseries(data,'1950Q1');
%$ ts = ts.ygrowth;
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$
%$ if length(t)>1
%$ DATA = NaN(4,ts.vobs);
%$ DATA = [DATA; zeros(ts.nobs-4,ts.vobs)];
%$ t(2) = dyn_assert(ts.data,DATA);
%$ end
%$
%$ T = all(t);
%@eof:1
%@test:2
%$ t = zeros(2,1);
%$
%$ try
%$ data = repmat(transpose(1:12),100,1);
%$ ts = dseries(data,'1950M1');
%$ ts = ts.ygrowth;
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$
%$ if length(t)>1
%$ DATA = NaN(12,ts.vobs);
%$ DATA = [DATA; zeros(ts.nobs-12,ts.vobs)];
%$ t(2) = dyn_assert(ts.data,DATA);
%$ end
%$
%$ T = all(t);
%@eof:2
%@test:3
%$ t = zeros(2,1);
%$
%$ try
%$ data = repmat(transpose(1:52),100,1);
%$ ts = dseries(data,'1950W1');
%$ ts = ts.ygrowth;
%$ t(1) = 1;
%$ catch
%$ t = 0;
%$ end
%$
%$
%$ if length(t)>1
%$ DATA = NaN(52,ts.vobs);
%$ DATA = [DATA; zeros(ts.nobs-52,ts.vobs)];
%$ t(2) = dyn_assert(ts.data,DATA);
%$ end
%$
%$ T = all(t);
%@eof:3
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