--- a/scripts/statistics/distributions/cauchy_rnd.m
+++ b/scripts/statistics/distributions/cauchy_rnd.m
@@ -1,15 +1,15 @@
 ## Copyright (C) 1995, 1996, 1997  Kurt Hornik
-## 
+##
 ## This program 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 program 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. 
-## 
+## General Public License for more details.
+##
 ## You should have received a copy of the GNU General Public License
 ## along with this file.  If not, write to the Free Software Foundation,
 ## 59 Temple Place - Suite 330, Boston, MA 02111-1307, USA.
@@ -23,12 +23,12 @@
 ## cauchy_rnd (lambda, sigma, r, c) returns an r by c matrix of random
 ## samples from the Cauchy distribution with parameters lambda and sigma
 ## which must both be scalar or of size r by c.
-  
+
 ## Author:  KH <Kurt.Hornik@ci.tuwien.ac.at>
 ## Description:  Random deviates from the Cauchy distribution
 
 function rnd = cauchy_rnd (l, scale, r, c)
-  
+
   if (nargin == 4)
     if ( !(is_scalar (r) && (r > 0) && (r == round (r))) )
       error ("cauchy_rnd:  r must be a positive integer");
@@ -39,31 +39,31 @@
     [retval, l, scale] = common_size (l, scale, zeros (r, c));
     if (retval > 0)
       error (strcat("cauchy_rnd:  ",
-		    "lambda and sigma must be scalar or of size",
-		    sprintf ("%d by %d.", r, c)));
+                    "lambda and sigma must be scalar or of size",
+                    sprintf ("%d by %d.", r, c)));
     endif
   elseif (nargin == 2)
     [retval, l, scale] = common_size (l, scale);
     if (retval > 0)
       error (["cauchy_rnd:  ", ...
-	      "lambda and sigma must be of common size or scalar"]);
+              "lambda and sigma must be of common size or scalar"]);
     endif
     [r, c] = size (l);
   else
     usage ("cauchy_rnd (lambda, sigma [, r, c])");
   endif
-      
+
   s = r * c;
   l = reshape (l, 1, s);
   scale = reshape (scale, 1, s);
-  
+
   rnd = NaN * ones (1, s);
-  
+
   k = find ((l > -Inf) & (l < Inf) & (scale > 0) & (scale < Inf));
   if (any (k))
     rnd(k) = l(k) - cot (pi * rand (1, length (k))) .* scale(k);
   endif
 
   rnd = reshape (rnd, r, c);
-  
+
 endfunction