Tagging the 2.0 release of scilab2crelease-2.0

1 files changed, 69 insertions, 0 deletions

diff --git a/src/c/statisticsFunctions/stdevf/dcolumnstdevfa.c b/src/c/statisticsFunctions/stdevf/dcolumnstdevfa.c
new file mode 100644
index 00000000..a6220d57
--- /dev/null
+++ b/src/c/statisticsFunctions/stdevf/dcolumnstdevfa.c
@@ -0,0 +1,69 @@
+/*
+ *  Scilab ( http://www.scilab.org/ ) - This file is part of Scilab
+ *  Copyright (C) 2008-2008 - INRIA - Allan SIMON
+ *
+ *  This file must be used under the terms of the CeCILL.
+ *  This source file is licensed as described in the file COPYING, which
+ *  you should have received as part of this distribution.  The terms
+ *  are also available at
+ *  http://www.cecill.info/licences/Licence_CeCILL_V2-en.txt
+ *
+ */
+
+
+#include "stdevf.h"
+#include "meanf.h"
+
+
+void dcolumnstdevfa(double *in1, int lines, int columns, double *in2, double* out){
+  int i = 0;
+  int j = 0;
+  double temp = 0.0;
+  double accumulate = 0.0;
+  double accumulateFre = 0.0 ;
+    
+  dcolumnmeanfa(in1, lines, columns, in2, out );
+
+  
+  /*we first multiply each cell of the input matrix by its coefficient*/
+  for (j = 0; j < lines; ++j)
+    {
+      accumulate = 0.0;
+      accumulateFre= 0.0;
+      temp = 0.0;
+
+      for ( i = 0 ; i < columns; ++i )
+        {
+         temp = dpows (  (in1[lines*i + j]  - out[j] ) ,2 );
+         temp *= in2[lines*i + j];
+
+         accumulate += temp ;
+         accumulateFre += in2[lines*i + j];
+        } 
+
+      if (lines <= 1)
+       {
+        out[j] =  0.0 * accumulate ; 
+       }
+      else
+       {
+        out[j] = dsqrts(accumulate / (accumulateFre - 1));
+       }
+    }
+
+}
+/*
+                               
+                                                               !
+!  elseif o == 'c' | o == 2 then                                                                    !
+!    // here ones is used becaue we work on  matrix , but in C we work on element so we only need iteratation                                                                                               !
+!    y = x - meanf(x, fre, o) * ones(1, size(x, o))                                                 !
+!                                                                                                   !
+
+!  if size(x, 1) == 1 then                                                                          !                                                                                              !
+!    s = 0 * sum(y.^2 .* fre, o)                                                                                                                                                                 !
+!  else                                                                                             !                                                                                               !
+!    s = sqrt(sum(y.^2 .* fre, o) ./ (sum(fre, o) - 1));                                            !
+                                                                                      !
+*/ 
+