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function resu = df_whole(df);
%# function resu = df_whole(df)
%# Generate a full matrix from a column-compressed version of a dataframe.
%% Copyright (C) 2009-2017 Pascal Dupuis <cdemills@gmail.com>
%%
%% This file is part of the dataframe package for Octave.
%%
%% This package 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 2, or (at your option) any later version.
%%
%% This package 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 this package; see the file COPYING. If not,
%% see <http://www.gnu.org/licenses/>.
inds = max (cellfun (@length, df.x_rep));
resu = df.x_data{1}(:, df.x_rep{1});
if (inds > 1)
resu = reshape (resu, df.x_cnt(1), 1, []);
if (1 == size (resu, 3))
resu = repmat (resu, [1 1 inds]);
end
end
if (df.x_cnt(2) > 1)
resu = repmat (resu, [1 df.x_cnt(2)]);
for indi = (2:df.x_cnt(2))
dummy = df.x_data{indi}(:, df.x_rep{indi});
if (inds > 1)
dummy = reshape (dummy, df.x_cnt(1), 1, []);
if (1 == size (dummy, 3)),
dummy = repmat (dummy, [1 1 inds]);
end
end
resu(:, indi, :) = dummy;
end
end
end
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