How to separate a vector into bins and average each bin
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I have a vector A (exemplified below) which contains the size of pores and i want to create a vector which bins the data in A and creates a new vector containing the number of pores within a bin size multiplied by the size of these pores (for example by taking the average out of the values within each bin)
Example:
A = [1 1 1 1 1 1 2 2 2 3 3 3 3 4 4 4 4 4 5 5 6 6 7 7 7 8 9 10]
Lets say that i want the bin size to be 2, then i want something like:
B = [12 32 22 29 19]
Any suggestions would be greatly appriciated.
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Cris LaPierre
le 1 Août 2022
I don't exactly follow how you get from A to B, and I'm fairly certain there isn't a single function that will get you what you want. Here's one possible solution based on what I understood.
A = [1 1 1 1 1 1 2 2 2 3 3 3 3 4 4 4 4 4 5 5 6 6 7 7 7 8 9 10];
% Use discretize to split the data into bins with width of 2
b = discretize(A,1:2:11)
% Use splitapply to calculate the mean of each bin
mn = splitapply(@mean,A,b)
% use splitapply to count the number of points in each bin
cnt = splitapply(@numel,A,b)
% multiply the mean and the count to get B
B = mn.*cnt
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