Look up a value in another array

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Aaron
Aaron on 12 Nov 2013
Commented: Aaron on 13 Nov 2013
I have one array which lists the max values for column of column B for each unique item in column A as follows:
'888888888888888888880001' -40
'888888888888888888880002' -47
I have the following array and I would like to find the column A and column B that match with the first row in the above array, and create a new array which adds the column C value for: '888888888888888888880001' -40 to the array. Then do the same thing for the second row in the table above and add it to the same array.
'888888888888888888880001' -66 9
'888888888888888888880001' -52 10
'888888888888888888880001' -47 20
'888888888888888888880001' -56 26
'888888888888888888880001' -47 38
'888888888888888888880001' -51 42
'888888888888888888880001' -40 47
'888888888888888888880001' -40 54
'888888888888888888880002' -50 44
'888888888888888888880002' -47 57
The result of this should be an array of 2 rows:
'888888888888888888880001' -40 47
'888888888888888888880002' -47 57
There are two places that have -40 and I just need it to have either of those values in the final array, but not both.
Any help would be greatly appreciated. Thanks.

Accepted Answer

Andrei Bobrov
Andrei Bobrov on 12 Nov 2013
Edited: Andrei Bobrov on 12 Nov 2013
EDIT
d1 = [data(:,1), cellfun(@num2str,data(:,2),'un',0)];
a1 = [A(:,1),cellfun(@num2str,A(:,2),'un',0)];
[lk,i2] = ismember(data(:,1),A(:,1));
d1 = [i2(lk) cell2mat(data(lk,2:3))];
a1 = [(1:size(A,1))', cell2mat(A(:,2))];
[lc2,ii2] = ismember(d1(:,1:2),a1,'rows');
data1 = data(lc2,:);
% corrected below
idx = accumarray(ii2(lc2),(1:size(d1(lc2,:),1))',[],@(x)x(randi(numel(x))));
out = data1(idx,:);
  5 Comments
Aaron
Aaron on 12 Nov 2013
Thank you very much! It was very helpful. If you wouldn't mind, could you look at the main question that I had for this data. I asked the question at the following link:
It is the last thing I have to do with this data and would help me out a lot.
Aaron
Aaron on 13 Nov 2013
And I made it look like a long question but it is really the same question as the one I just asked on this one, only it involves using the standard deviation to remove unwanted rows

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