114 lines
2.6 KiB
Matlab
114 lines
2.6 KiB
Matlab
function A = set_names(B,varargin) % --*-- Unitary tests --*--
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%@info:
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%! @deftypefn {Function File} {@var{A} =} times (@var{B},@code{varargin})
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%! @anchor{@nSeries/set_names}
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%! @sp 1
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%! Specify names of the variables in a @ref{dseries} object.
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%! @sp 2
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%! @strong{Inputs}
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%! @sp 1
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%! @table @ @var
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%! @item B
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%! Dynare time series object instantiated by @ref{dseries}.
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%! @item C
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%! Dynare time series object instantiated by @ref{dseries}.
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%! @end table
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%! @sp 1
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%! @strong{Outputs}
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%! @sp 1
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%! @table @ @var
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%! @item A
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%! Dynare time series object.
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%! @end deftypefn
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%@eod:
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% Copyright (C) 2012 Dynare Team
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%
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% This file is part of Dynare.
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%
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% Dynare is free software: you can redistribute it and/or modify
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% it under the terms of the GNU General Public License as published by
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% the Free Software Foundation, either version 3 of the License, or
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% (at your option) any later version.
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%
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% Dynare is distributed in the hope that it will be useful,
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% but WITHOUT ANY WARRANTY; without even the implied warranty of
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% MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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% GNU General Public License for more details.
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%
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% You should have received a copy of the GNU General Public License
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% along with Dynare. If not, see <http://www.gnu.org/licenses/>.
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% AUTHOR(S) stephane DOT adjemian AT univ DASH lemans DOT fr
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n = nargin-1;
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if ~isdseries(B)
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error(['dseries::rename: ' inputname(1) ' must be a dseries object!'])
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end
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if ~isequal(vobs(B),n)
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error(['dseries::rename: The number of variables in ' inputname(1) ' does not match the number of declared names!'])
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end
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A = B;
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for i=1:vobs(A)
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if ~isempty(varargin{i})
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A.name(i) = { varargin{i} };
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end
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end
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%@test:1
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%$ % Define a datasets.
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%$ A = rand(10,3);
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%$
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%$ % Define names
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%$ A_name = {'A1';'Variable_2';'A3'};
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%$
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%$ t = zeros(4,1);
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%$
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%$ % Instantiate a time series object.
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%$ try
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%$ ts1 = dseries(A,[],[],[]);
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%$ ts2 = set_names(ts1,'A1',[],'A3');
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%$ t(1) = 1;
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%$ catch
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%$ t = 0;
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%$ end
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%$
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%$ if length(t)>1
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%$ t(2) = dyn_assert(ts2.vobs,3);
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%$ t(3) = dyn_assert(ts2.nobs,10);
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%$ t(4) = dyn_assert(ts2.name,A_name);
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%$ end
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%$ T = all(t);
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%@eof:1
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%@test:2
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%$ % Define a datasets.
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%$ A = rand(10,3);
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%$
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%$ % Define names
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%$ A_name = {'A1';'Variable_2';'A3'};
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%$
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%$ t = zeros(4,1);
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%$
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%$ % Instantiate a time series object.
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%$ try
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%$ ts1 = dseries(A,[],[],[]);
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%$ ts1 = ts1.set_names('A1',[],'A3');
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%$ t(1) = 1;
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%$ catch
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%$ t = 0;
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%$ end
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%$
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%$ if length(t)>1
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%$ t(2) = dyn_assert(ts1.vobs,3);
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%$ t(3) = dyn_assert(ts1.nobs,10);
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%$ t(4) = dyn_assert(ts1.name,A_name);
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%$ end
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%$ T = all(t);
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%@eof:2
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