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FIR

finding mean

Asked by 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

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3 Answers

Answer by the cyclist
on 12 Jun 2012
 Accepted answer

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
end
end

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) 

etc

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Answer by Walter Roberson
on 12 Jun 2012

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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


Answer by 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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