How to separate a vector into bins and average each bin

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.

Answer 1

[Cris LaPierre]

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)

b = 1×28

1 1 1 1 1 1 1 1 1 2 2 2 2 2 2 2 2 2 3 3 3 3 4 4 4 4 5 5

% Use splitapply to calculate the mean of each bin
mn = splitapply(@mean,A,b)

mn = 1×5

1.3333 3.5556 5.5000 7.2500 9.5000

% use splitapply to count the number of points in each bin
cnt = splitapply(@numel,A,b)

cnt = 1×5

9 9 4 4 2

% multiply the mean and the count to get B
B = mn.*cnt

B = 1×5

12 32 22 29 19

[Holmbrero]

That does exactly what i asked for. Thank you very much!