function [a,b] = align(a, b) % --*-- Unitary tests --*--
%@info:
%! @deftypefn {Function File} {[@var{a}, @var{b}] =} align (@var{a}, @var{b})
%! @anchor{dseries/align}
%! @sp 1
%! If dseries objects @var{a} and @var{b} are defined on different time ranges, extend @var{a} and/or
%! @var{b} with NaNs so that they are defined on the same time range.
%! @sp 2
%! @strong{Inputs}
%! @sp 1
%! @table @ @var
%! @item a
%! Object instantiated by @ref{dseries}.
%! @item b
%! Object instantiated by @ref{dseries}.
%! @end table
%! @sp 2
%! @strong{Outputs}
%! @sp 1
%! @table @ @var
%! @item a
%! Object instantiated by @ref{dseries}.
%! @item b
%! Object instantiated by @ref{dseries}.
%! @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 .
if ~isequal(a.freq,b.freq)
error(['dseries::merge_dates: ''' inputname(1) ''' and ''' inputname(2) ''' dseries objects must have common frequencies!'])
end
init = min(a.init,b.init);
time_range_of_a = a.init:a.init+a.nobs;
time_range_of_b = b.init:b.init+b.nobs;
last_a = time_range_of_a(a.nobs);
last_b = time_range_of_b(b.nobs);
common_time_range = intersect(time_range_of_a,time_range_of_b);
if isempty(common_time_range)
error(['dseries::merge_dates: ''' inputname(1) ''' and ''' inputname(2) ''' dseries object must have at least one common date!'])
end
if a.initb.init
n = a.init-b.init;
a.data = [NaN(n,a.vobs); a.data];
a.nobs = a.nobs+n;
a.init = init;
end
if last_a>last_b
n = last_a-last_b;
b.data = [b.data; NaN(n,b.vobs)];
b.nobs = b.nobs+n;
elseif last_a