107 lines
3.0 KiB
Matlab
107 lines
3.0 KiB
Matlab
function a = horzcat2(b,c)
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%@info:
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%! @deftypefn {Function file} {@var{a} =} horzcat2 (@var{b},@var{c}, ...)
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%! @anchor{private/horzcat2}
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%! @sp 1
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%! Private method of the dynSeries class.
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%! @sp 1
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%! Merge two Dynare time series objects. This method overloads the horizontal concatenation operator, so that
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%! two time series objects can be merged using the following syntax
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%!
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%! a = [b, c];
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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{dynSeries}.
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%! @item c
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%! Dynare time series object, instantiated by @ref{dynSeries}.
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%! @end table
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%! @sp 2
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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 table
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%! @sp 2
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%! @strong{This function is called by:}
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%! @ref{descriptive_statistics}
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%!
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%! @strong{This function calls:}
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%! @ref{dynSeries}
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%!
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%! @strong{Remark 1.} It is assumed that the two time series objects have the same frequencies. The two time series objects can cover
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%! different time ranges.
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%!
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%! @end deftypefn
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%@eod:
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% Copyright (C) 2011 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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if ~(isa(b,'dynSeries') && isa(c,'dynSeries'))
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error('dynSeries::horzcat: All input arguments have to be Dynare time series objects!')
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end
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if b.freq ~= c.freq
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error('dynSeries::horzcat: All time series objects must have common frequency!')
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else
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a = dynSeries();
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a.freq = b.freq;
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end
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d_nobs_flag = 0;
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if b.nobs ~= c.nobs
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d_nobs_flag = 1;
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else
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a.nobs = b.nobs;
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end
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d_init_flag = 0;
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if ~isequal(b.Time(1),c.Time(1))
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d_init_flag = 1;
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end
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d_last_flag = 0;
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if ~isequal(b.Time(end),c.Time(end))
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d_last_flag = 1;
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end
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a.vobs = b.vobs+c.vobs;
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a.name = char(b.name,c.name);
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a.tex = char(b.tex,c.tex);
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if ~( d_nobs_flag(1) || d_init_flag(1) || d_last_flag(1) )
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a.Time = b.Time;
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a.data = [b.data,c.data];
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else
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[JUNK,IB] = setdiff(b.Time(:),c.Time(:),'rows');
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[JUNK,IC] = setdiff(c.Time(:),b.Time(:),'rows');
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[JUNK,JB,JC] = intersect(b.Time(:),c.Time(:),'rows');
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a.Time = a.Time.setTime(sortrows([b.Time(IB); b.Time(JB); c.Time(IC)],[1 2]));
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a.nobs = rows(a.Time(:));
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a.data = NaN(a.nobs,a.vobs);
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[junk,ia,ib] = intersect(a.Time(:),b.Time(:),'rows');
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a.data(ia,1:b.vobs) = b.data;
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[junk,ia,ic] = intersect(a.Time(:),c.Time(:),'rows');
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a.data(ia,b.vobs+(1:c.vobs)) = c.data;
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end |