finding mean

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FIR on 12 Jun 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

Accepted Answer

the cyclist
the cyclist on 12 Jun 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)

More Answers (2)

Walter Roberson
Walter Roberson on 12 Jun 2012
  1 Comment
FIR on 13 Jun 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 on 13 Jun 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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