Is there a way to use setdiff or any function to compare two data sets within a range of each other?
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I have two large data sets that are equal in dimensions but not in variables. Also the variables are similar but not exact so setdiff returns every value in the smaller data set. I'd like to know is there a way to add some range into the setdiff function like setdiff(A,B<+-2,B<+-2)?
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Sean de Wolski
2015-3-30
Starting in R2015a, there is a function ismembertol. You can use this and the set diff logic on idx.
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Image Analyst
2015-3-30
Since every row needs to be compared to every other row in the other matrix in a range of values, you can use (and may have to) use a double for loop with an if statement inside. Might not be a one-liner but at least it's straightforward and intuitive.
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Image Analyst
2015-3-30
Try this:
A = [...
1.21 0.550
9.78 0.989
13.67 0.947]
B =[...
1.19 0.45
13.55 1.05]
[rowsA, columnsA] = size(A)
[rowsB, columnsB] = size(B)
different = false(rowsA, rowsB);
tolerance = 2;
for rowa = 1 : rowsA
thisRowA = A(rowa, :); % Extract just one row.
% Now check all rows of B to see if they are any that are different.
for rowb = 1 : rowsB
thisRowB = B(rowb, :); % Extract just one row.
% Check if rowb of B is different than rowa of A
itsDifferent = any(abs(thisRowB - thisRowA) > tolerance);
% Record whether it's different or not.
different(rowa, rowb) = itsDifferent;
end
end
different
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