fix of intermixed variables in the code

fnn.m

@@ -10,7 +10,7 @@ function out=fnn(varargin)
 %    The defeault is T=1.
 %
 %    Y=FNN(X,M,T,R,S), where R and S are scalars, applies the neighbourhood
-%    criterion R and the size of the neighbourhood S. The defeault is R=2
+%    criterion R and the size of the neighbourhood S. The defeault is R=10
 %    and S=Inf.
 %
 %    Y=FNN(X,M,T,R,S,N), where N is a scalar, uses N random samples for
@@ -55,6 +55,9 @@ function out=fnn(varargin)
 % $Revision$
 %
 % $Log$
+% Revision 5.8  2011/05/18 09:46:17  marwan
+% default figure background color bug fixed
+%
 % Revision 5.7  2010/01/15 12:16:58  marwan
 % bug on check of data length
 %
@@ -143,13 +146,13 @@ if nargin & isnumeric(varargin{1})
         r = varargin{i_x(3)};
       case 4
         maxM = varargin{i_x(1)};
-        r = varargin{i_x(2)};
-        t = varargin{i_x(3)};
+        t = varargin{i_x(2)};
+        r = varargin{i_x(3)};
         s = varargin{i_x(4)};
       case 5
         maxM = varargin{i_x(1)};
-        r = varargin{i_x(2)};
-        t = varargin{i_x(3)};
+        t = varargin{i_x(2)};
+        r = varargin{i_x(3)};
         s = varargin{i_x(4)};
         maxN = varargin{i_x(5)};
     end