function display_conditional_variance_decomposition(conditional_decomposition_array,Steps,SubsetOfVariables,M_,options_)
% This function displays the conditional variance decomposition of a given state space model
% for a subset of endogenous variables.
%
% INPUTS
%   conditional_decomposition_array     [matrix]   Output matrix from compute_conditional_variance_decomposition
%   Steps               [integer]     1*h vector of dates.
%   SubsetOfVariables   [integer]     1*q vector of indices.
%   M_                  [structure]   Dynare structure containing the
%                                     Model description
%   options_            [structure]   Dynare structure containing the
%                                     options
% OUTPUTS
%   none
%
% Copyright (C) 2010-2018 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/>.

if size(conditional_decomposition_array,3)==M_.exo_nbr %no ME input
    shock_number=M_.exo_nbr;
    headers = M_.exo_names;
    headers(M_.exo_names_orig_ord) = headers;
    if options_.TeX
        headers_TeX = vertcat(' ', M_.exo_names_tex);
    end
    title_addon='';
elseif size(conditional_decomposition_array,3)==M_.exo_nbr+1 %ME input
    shock_number=M_.exo_nbr+1;
    headers = M_.exo_names;
    headers(M_.exo_names_orig_ord) = headers;
    headers = vertcat(headers, 'ME');
    if options_.TeX
        headers_TeX = vertcat(M_.exo_names_tex, 'ME');
        headers_TeX = vertcat(' ', headers_TeX);
    end
    title_addon=' - WITH MEASUREMENT ERROR';
else
    error('display_conditional_variance_decomposition:: This case should not happen. Please contact the developers')
end

if options_.order == 2
    skipline()
    title=['APPROXIMATED CONDITIONAL VARIANCE DECOMPOSITION (in percent)',title_addon];
    disp(title)
else
    skipline()
    title=['CONDITIONAL VARIANCE DECOMPOSITION (in percent)',title_addon];
    disp(title)
end

headers = vertcat(' ', headers);
lh = cellofchararraymaxlength(M_.endo_names(SubsetOfVariables))+2;
if options_.TeX
    labels_TeX = M_.endo_names_tex(SubsetOfVariables);
    lh = cellofchararraymaxlength(labels_TeX)+2;
end
 
vardec_i = zeros(length(SubsetOfVariables), shock_number);

for i=1:length(Steps)
    disp(['Period ' int2str(Steps(i)) ':'])
    for j=1:shock_number
        vardec_i(:,j) = 100*conditional_decomposition_array(:,i,j);
    end
    dyntable(options_, '', headers, M_.endo_names(SubsetOfVariables), vardec_i, lh, 8, 2);
    if options_.TeX
        dyn_latex_table(M_, options_, [title, '; Period ' int2str(Steps(i))], ['th_var_decomp_cond_h', int2str(Steps(i))], headers_TeX, labels_TeX, vardec_i, lh, 8, 2);
    end
end