matlab_class/%40gcmfaces/mean.m

function r = mean(p,varargin)
% MEAN(p,varargin)
%
%overloaded gcmfaces mean function :
%  1) if single gcmfaces argument, then returns the global mean over all faces
%  2) if more than one argument, then simply calls double mean function for 
%     each face data, passing over the other arguments

if nargin==1;
   tmp1=[];
   for iFace=1:p.nFaces;
      iF=num2str(iFace);
      eval(['tmp1=[tmp1;p.f' iF '(:)];']);
   end;
   r=mean(tmp1);
   return;
end;

if varargin{1}>0;
  r=p;
  for iFace=1:r.nFaces;
     iF=num2str(iFace); 
     eval(['r.f' iF '=mean(p.f' iF ',varargin{:});']); 
  end;
else;
  tmp1=convert2gcmfaces(p);
  [n1,n2,n3,n4]=size(tmp1);
  tmp1=reshape(tmp1,n1*n2,n3,n4);
  r=mean(tmp1,1);
end;

1	function r = mean(p,varargin)
2	% MEAN(p,varargin)
3	%
4	%overloaded gcmfaces mean function :
5	% 1) if single gcmfaces argument, then returns the global mean over all faces
6	% 2) if more than one argument, then simply calls double mean function for
7	% each face data, passing over the other arguments
8
9	if nargin==1;
10	tmp1=[];
11	for iFace=1:p.nFaces;
12	iF=num2str(iFace);
13	eval(['tmp1=[tmp1;p.f' iF '(:)];']);
14	end;
15	r=mean(tmp1);
16	return;
17	end;
18
19	if varargin{1}>0;
20	r=p;
21	for iFace=1:r.nFaces;
22	iF=num2str(iFace);
23	eval(['r.f' iF '=mean(p.f' iF ',varargin{:});']);
24	end;
25	else;
26	tmp1=convert2gcmfaces(p);
27	[n1,n2,n3,n4]=size(tmp1);
28	tmp1=reshape(tmp1,n1*n2,n3,n4);
29	r=mean(tmp1,1);
30	end;
31