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finding mean

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FIR el 12 de Jun. de 2012
I have a 30 matrix of size 256x256 stored in in different variables,
for ex the variables are A,D,R,T,Y,......ETC,EACH variable has same matrix size,now i want to find mean for each matrix and store it s mean values in a separate variable ,please help

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the cyclist
the cyclist el 12 de Jun. de 2012
It's pretty awkward if there is no pattern to the naming of the variables, so if you can fix the naming problem upstream, you should try to do that. If you can't, then one approach is to define a function that takes a variable number of arguments, and does the mean of each one:
function arrayOfMeans = getMeans(varargin)
arrayOfMeans = zeros(nargin,1);
for n=1:nargin
arrayOfMeans(n) = mean(varargin{n}(:)); % Calculating means of all elements in array
Then call that function with the list of your variables as the input. For example,
>> getMeans(magic(3),rand(7),eye(4))
In your case, you would do
>> getMeans(A,D,R,T)

Más respuestas (2)

Walter Roberson
Walter Roberson el 12 de Jun. de 2012
  1 comentario
FIR el 13 de Jun. de 2012
walter i have seen the link .but could not find a solution ,can u please tell how to get a solution as per my post posted above

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Andrei Bobrov
Andrei Bobrov el 13 de Jun. de 2012
a = whos;
b = strcat({a(cellfun(@(x)isequal(x,[256 256]),{a.size})).name},',');
AD_etc = eval(['{',[b{:}],'}']);
AD_mean = cellfun(@(x)mean(x(:)),AD_etc,'un',0);
out = cell2struct([AD_etc;AD_mean],{'data','mean'});


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