how to choose matrix columns randomly?

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hi all. i have two related matrices (A and B). i want to choose randomly 80% of one matrix's columns (e.g A) and corresponding values from second matrix(B)for example:
suppose that two matrices are like this:
A=[1 2 3 4 5 6 7 8 9 10];
B=[11 12 13 14 15 16 17 18 19 20];
desired matrices are for example like:
C=[1 3 4 5 7 8 9 10]
D=[11 13 14 15 17 18 19 20]
would you help me on this? thank you
  4 Comments
the cyclist
the cyclist on 23 Feb 2015
Edited: the cyclist on 23 Feb 2015
Do you want the 160 to be unique, or possibly repeating? For example, might you choose the 5th column twice?
Also, do you have the Statistics Toolbox? A couple commands there make this a bit cleaner.
maryam
maryam on 23 Feb 2015
no, columns should be unique. yes, i have statistics toolbox,but i haven't work with it yet!

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Accepted Answer

Star Strider
Star Strider on 23 Feb 2015
Use the randperm function.
This might do what you want:
cols = randperm(200, 160);
(Note: Untested code, but it should work.)
  3 Comments
maryam
maryam on 23 Feb 2015
thank you for your answer

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More Answers (2)

the cyclist
the cyclist on 23 Feb 2015
As Stephen's questions suggest, you need some more specification.
Possible elements of the solution are
  • randi, randsample, or other commands to select some random indices. (Say that vector of random indices is called idx )
  • Something like either B(:,idx) or B(:,A(idx)) to choose from B directly with the indices, or using values from A that are selected by the indices

Jos (10584)
Jos (10584) on 23 Feb 2015
Exactly 80 vs 20? Or in approximation? And how many columns? I also assume the number of rows in A and B are the same.
A suggestion is that you first draw N columns from A and M columns from B, where N/M is 80/20
Ntotal = 10 ;
N = ceil(.8 * Ntotal) % fixed 80 vs 20
% or
% N = sum(rand(100,1)<0.8)) % roughly
M = Ntotal - N
% select N columns from A and M columns from B
cidxA = randi([1 size(A,2)],1,N)
cidxB = randi([1 size(B,2)],1,M)
% stick them together
OUT = [A(:,cidxA) B(:,cidxB)]
% randomise the order
r = randperm(size(OUT,2))
OUT = OUT(:,r)
  1 Comment
maryam
maryam on 23 Feb 2015
Dear Jos, i edited my question. it wasn't clear. 80 vs 20 should occur in approximation and in both two matrices.

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