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function resu = permute(df, perm)
%% 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 3, 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/>.
resu = dataframe ();
if (length (df.x_cnt) >= length (perm))
resu.x_cnt = df.x_cnt(perm);
else
resu.x_cnt = [df.x_cnt 1](perm);
end
if (ndims (df.x_ridx) < 3)
resu.x_ridx = permute (df.x_ridx, [min(perm(1), 2) min(perm(2:end))]);
else
resu.x_ridx = permute (df.x_ridx, perm);
end
if (size (resu.x_ridx, 1) < resu.x_cnt(1))
%# adjust index size, if required
resu.x_ridx(end+1:resu.x_cnt(1), :, :) = NA;
end
if (2 == perm(1)),
resu.x_name{1} = df.x_name{2};
resu.x_over{1} = df.x_over{2};
indc = length (resu.x_name{1});
indi = resu.x_cnt(1) - indc;
if (indi > 0)
%# generate a name for the new row(s)
dummy = cstrcat (repmat ('_', indi, 1), ...
strjust (num2str (indc + (1:indi).'), 'left'));
resu.x_name{1}(indc + (1:indi)) = cellstr (dummy);
resu.x_over{1}(1, indc + (1:indi)) = true;
end
else
resu.x_name{1} = df.x_name{1};
resu.x_over{1} = df.x_over{1};
end
if (2 == perm(2))
resu.x_name{2} = df.x_name{2};
resu.x_over{2} = df.x_over{2};
else
resu.x_name{2} = df.x_name{1};
resu.x_over{2} = df.x_over{1};
end
if (isempty (resu.x_name{2})),
indc = 0;
else
indc = length (resu.x_name{2});
end
indi = resu.x_cnt(2) - indc;
if (indi > 0)
%# generate a name for the new column(s)
dummy = cstrcat (repmat ('_', indi, 1), ...
strjust (num2str (indc + (1:indi).'), 'left'));
resu.x_name{2}(indc + (1:indi)) = cellstr (dummy);
resu.x_over{2}(1, indc + (1:indi)) = true;
end
if (2 ~= perm(2)),
%# recompute the new type
dummy = zeros (0, class (sum (cellfun (@(x) zeros (1, class(x(1))),...
df.x_data))));
resu.x_type(1:resu.x_cnt(2)) = class (dummy);
dummy = permute (df_whole(df), perm);
for indi = (1:resu.x_cnt(2))
resu.x_data{indi} = squeeze (dummy(:, indi, :));
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
end
else %# 2 == perm(2)
if (1 == perm(1)) %# blank operation
resu.x_type = df.x_type;
resu.x_data = df.x_data;
resu.x_rep = df.x_rep;
else
for indi = (1:resu.x_cnt(2))
unfolded = df.x_data{indi}(:, df.x_rep{indi});
resu.x_data{indi} = permute (unfolded, [2 1]);
resu.x_rep{indi} = 1:size (resu.x_data{indi}, 2);
resu.x_type{indi} = df.x_type{indi};
end
end
end
resu.x_src = df.x_src;
resu.x_header = df.x_header;
resu.x_cmt = df.x_cmt;
end
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