| 1 |
cnh |
1.1 |
function y = nanmean(x) |
| 2 |
|
|
%NANMEAN Average or mean ignoring NaNs. |
| 3 |
|
|
% NANMEAN(X) returns the average treating NaNs as missing values. |
| 4 |
|
|
% For vectors, NANMEAN(X) is the mean value of the non-NaN |
| 5 |
|
|
% elements in X. For matrices, NANMEAN(X) is a row vector |
| 6 |
|
|
% containing the mean value of each column, ignoring NaNs. |
| 7 |
|
|
% |
| 8 |
|
|
% See also NANMEDIAN, NANSTD, NANMIN, NANMAX, NANSUM. |
| 9 |
|
|
|
| 10 |
|
|
% Copyright 1993-2000 The MathWorks, Inc. |
| 11 |
|
|
% $Revision: 1.1 $ $Date: 2002/10/22 13:30:40 $ |
| 12 |
|
|
|
| 13 |
|
|
if isempty(x) % Check for empty input. |
| 14 |
|
|
y = NaN; |
| 15 |
|
|
return |
| 16 |
|
|
end |
| 17 |
|
|
|
| 18 |
|
|
% Replace NaNs with zeros. |
| 19 |
|
|
nans = isnan(x); |
| 20 |
|
|
i = find(nans); |
| 21 |
|
|
x(i) = zeros(size(i)); |
| 22 |
|
|
|
| 23 |
|
|
if min(size(x))==1, |
| 24 |
|
|
count = length(x)-sum(nans); |
| 25 |
|
|
else |
| 26 |
|
|
count = size(x,1)-sum(nans); |
| 27 |
|
|
end |
| 28 |
|
|
|
| 29 |
|
|
% Protect against a column of all NaNs |
| 30 |
|
|
i = find(count==0); |
| 31 |
|
|
count(i) = ones(size(i)); |
| 32 |
|
|
y = sum(x)./count; |
| 33 |
|
|
y(i) = i + NaN; |