Sorting a matrix in percentiles

Good afternoon! I need your help as im new in matlab about solving my following issue:
I have a matrix ret [420x500]
I want to separate this matrix in 10 matrices of [420x50] each. Is there any code than can generate 10 different matrices of same size from the matrix ret[420x500]?
I need 10 equally sized matrices (the breakpoints should be the 10th, 20th, 30th,... , 90th percentiles). I.e., 10 matrices from a given matrix ret.
Thank you in advance!!!

 Respuesta aceptada

Ameer Hamza
Ameer Hamza el 13 de Oct. de 2020
Use mat2cell()
M; % 420x500 matrix
M_parts = mat2cell(M, 420, 50*ones(1,10));
M_parts is a cell array. You can access it like this
M_parts{1}; % 1st 420x50 matrix
M_parts{2}; % 2nd 420x50 matrix
..
..
M_parts{10}; % 10th 420x50 matrix

7 comentarios

Andreas S
Andreas S el 13 de Oct. de 2020
Thank you for your reply. In addition I would like to find the average of the the first row for each new matrices M_parts{1} M_parts{2} .. .. M_parts{10}
You can use cellfun()
first_row_averages = cellfun(@(x) mean(x(1,:)), M_parts)
Andreas S
Andreas S el 13 de Oct. de 2020
Thank you again. And what if I want find the average for each raw for these matrices?
Similar approach
first_row_averages = cellfun(@(x) mean(x, 2), M_parts)
Andreas S
Andreas S el 14 de Oct. de 2020
It looks like it works. But I have a problem as I need to classify and rewrite the columns of the first matrix ret(420x500) by their averages from the smallest average to the biggest one and then run the other codes. How could I classify the matrix ret(420x500)?
Following sort column of ret from smalles to largest
[~, idx] = sort(mean(ret));
ret_sorted = ret(:, idx);
Andreas S
Andreas S el 14 de Oct. de 2020
Thank you very much for all of your help. I appreciate it a lot!!

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