How to evaluate mean for column

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I have a data with 5 columns: X,Y,Z,A,B, the first three columns represent coordinates, the next ones some attributes of objects.
A column has values: 0 or 1, B columns has values: 1, 1, 1, 2, 2, 3, 3, ,3 ,3 , 3, 3, 4, 4, 4, 4, 5, 5, 5, 5, 5, 6, 6, 6, 6, 7, 7, 7, ....
I would like to evaluate the mean value of A column for every individual value in column B. Eg. Evaluate mean value from column A but only for points which in B have value 1.
Does somebody know which function should I use to do this? Thank you in advance!

Accepted Answer

Michael Haderlein
Michael Haderlein on 5 May 2015
You can use arrayfun:
dx=zeros(100,1);
dx(randi(100,10,1))=1;
B=cumsum(dx);
A=(1:100).^2;
meanvals=arrayfun(@(x) mean(A(B==x)),unique(B));
  9 Comments
Karolina
Karolina on 6 May 2015
Super! Thank you very much! Have a nice day!

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More Answers (2)

Andrei Bobrov
Andrei Bobrov on 6 May 2015
[~,~,c] = unique(B);
out = accumarray(c(:),A(:),[],@mean);

Ahmet Cecen
Ahmet Cecen on 5 May 2015
Below does the example you listed, change the value 1 to do the others.
mean(A(B==1))
  1 Comment
Karolina
Karolina on 5 May 2015
Thank you for your answer. Do you know if there is some way to do this for all values in my B column automatically? In my B column I have values from "1" to "n" (I do not know the biggest value) and for every value I would like to have the mean from A column.

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