What about other elements (i.e. 1, 2, 4 and 5) in A. What is your expected output for the given A and B. What have you tried so far?
How to find the indices of same values within a vector and bin them together
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I have two vectors with the same length (N). For example:
A=[ 1 2 3 3 3 3 4 5]; B=[ 9 8 7 6 5 6 7 8];
What I need to do is to take an average over elements in vector 'B' that their corresponding indices in vector 'A' have same values. In this example, element 3,4,5,6 in vector A are all equal to '3' so I need to take an average over (7+6+5+6/4) in vector B. I need to do this over a large data and bin them together. I tried different ways and it didn't work. How can I do this?
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采纳的回答
Ameer Hamza
2018-4-24
The following statement will return the list of all the averages according to the way you mentioned in your question.
meanVector = splitapply(@(x) mean(x), B', A')
since A have 5 unique elements, meanVector will also contain 5 elements corresponding to the mean value from B.
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Star Strider
2018-4-25
编辑:Star Strider
2018-4-25
See if this works with your data:
A=[ 1 2 3 3 3 3 4 5];
B=[ 9 8 7 6 5 6 7 8];
[Au,~,ix] = unique(A(:),'stable'); % Unique Elements & Indices (Convert To Column Vector), Keep Original Order
Ar_mean = accumarray(ix, B, [], @mean); % Means Of Single & Repeated Values
Result = [Au, Ar_mean] % Elements Of ‘A’ In Column #1, Corresponding ‘mean’ Of ‘B’ In Column #2
AB_Tbl = table(Au, Ar_mean) % Table (Optional)
Result =
1 9
2 8
3 6
4 7
5 8
AB_Tbl =
Au Ar_mean
__ _______
1 9
2 8
3 6
4 7
5 8
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