X-Git-Url: https://git.creatis.insa-lyon.fr/pubgit/?p=CreaPhase.git;a=blobdiff_plain;f=octave_packages%2Fdataframe-0.9.1%2F%40dataframe%2Fprivate%2Fdf_whole.m;fp=octave_packages%2Fdataframe-0.9.1%2F%40dataframe%2Fprivate%2Fdf_whole.m;h=507536e635f29b2242255a444e22f92551b5eb77;hp=0000000000000000000000000000000000000000;hb=f5f7a74bd8a4900f0b797da6783be80e11a68d86;hpb=1705066eceaaea976f010f669ce8e972f3734b05

diff --git a/octave_packages/dataframe-0.9.1/@dataframe/private/df_whole.m b/octave_packages/dataframe-0.9.1/@dataframe/private/df_whole.m
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+++ b/octave_packages/dataframe-0.9.1/@dataframe/private/df_whole.m
@@ -0,0 +1,54 @@
+function resu = df_whole(df);
+
+  %# function resu = df_whole(df)
+  %# Generate a full matrix from a column-compressed version of a dataframe.
+
+  %% Copyright (C) 2009-2012 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: df_whole.m 9585 2012-02-05 15:32:46Z cdemills $
+  %#
+
+  inds = max(cellfun(@length, df._rep));
+
+  resu = df._data{1}(:, df._rep{1});
+  if (inds > 1),
+    resu = reshape(resu, df._cnt(1), 1, []);
+    if (1 == size(resu, 3)),
+      resu = repmat(resu, [1 1 inds]);
+    endif
+  endif
+
+  if df._cnt(2) > 1,
+    resu = repmat(resu, [1 df._cnt(2)]);
+    for indi = 2:df._cnt(2),
+      dummy = df._data{indi}(:, df._rep{indi});
+      if (inds > 1),
+	dummy = reshape(dummy, df._cnt(1), 1, []);
+	if (1 == size(dummy, 3)),
+	  dummy = repmat(dummy, [1 1 inds]);
+	endif
+      endif
+      resu(:, indi, :) = dummy;
+    endfor
+  endif
+
+endfunction