matlab_class/%40gcmfaces/nanmean.m

function r = nanmean(p,varargin)
% NANMEAN(p,varargin)
%
%overloaded gcmfaces nanmean function :
%  1) if single gcmfaces argument, then returns the global nanmean over all faces
%  2) if more than one argument, then simply calls double nanmean 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=nanmean(tmp1);
   return;
end;

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

1	gforget	1.1	function r = nanmean(p,varargin)
2	gforget	1.3	% NANMEAN(p,varargin)
3			%
4	gforget	1.2	%overloaded gcmfaces nanmean function :
5			% 1) if single gcmfaces argument, then returns the global nanmean over all faces
6			% 2) if more than one argument, then simply calls double nanmean function for
7			% each face data, passing over the other arguments
8	gforget	1.1
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=nanmean(tmp1);
16			return;
17			end;
18
19	gforget	1.3	if varargin{1}>0;
20			r=p;
21			for iFace=1:r.nFaces;
22			iF=num2str(iFace);
23			eval(['r.f' iF '=nanmean(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=nanmean(tmp1,1);
30	gforget	1.1	end;
31