Mercurial > forge
view extra/dataframe/inst/@dataframe/repmat.m @ 9631:e9febb47e864 octave-forge
apply the emptiness test in dataframe.m only if more than one row
author | cdemills |
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date | Sun, 11 Mar 2012 20:53:31 +0000 |
parents | 0f5c46a0cb23 |
children |
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function resu = repmat(df, varargin) %% Copyright (C) 2009-2012 Pascal Dupuis <Pascal.Dupuis@uclouvain.be> %% %% This file is part of Octave. %% %% Octave 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. %% %% Octave 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 Octave; see the file COPYING. If not, %% write to the Free Software Foundation, 51 Franklin Street - %% Fifth Floor, Boston, MA 02110-1301, USA. %# %# $Id$ %# resu = df; idx = horzcat (varargin{:}); %# for the second dim, use either 1 either the 3rd one dummy = idx; if (length (dummy) > 2) dummy(2) = []; else dummy(2) = 1; endif %# operate on first dim if (idx(1) > 1) resu = df_mapper (@repmat, df, [idx(1) 1]); if (~isempty (df._name{1})), resu._name{1} = feval (@repmat, df._name{1}, [idx(1) 1]); resu._over{1} = feval (@repmat, df._over{1}, [idx(1) 1]); endif resu._cnt(1) = resu._cnt(1) * idx(1); endif if (dummy(2) > 1) for indi = (1:resu._cnt(2)) resu._rep{indi} = feval (@repmat, resu._rep{indi}, [1 dummy(2)]); endfor endif %# operate on ridx resu._ridx = feval (@repmat, resu._ridx, idx); %# operate on second dim if (length (idx) > 1 && idx(2) > 1) resu._data = feval (@repmat, resu._data, [1 idx(2)]); resu._name{2} = feval (@repmat, df._name{2}, [idx(2) 1]); resu._over{2} = feval (@repmat, df._over{2}, [1 idx(2)]); resu._type = feval (@repmat, df._type, [1 idx(2)]); resu._cnt(2) = resu._cnt(2) * idx(2); endif resu = df_thirddim (resu); endfunction