how to choose matrix columns randomly?

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maryam
maryam 2015 年 2 月 23 日
コメント済み: Star Strider 2015 年 2 月 23 日
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 件のコメント
the cyclist
the cyclist 2015 年 2 月 23 日
編集済み: the cyclist 2015 年 2 月 23 日
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 2015 年 2 月 23 日
no, columns should be unique. yes, i have statistics toolbox,but i haven't work with it yet!

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採用された回答

Star Strider
Star Strider 2015 年 2 月 23 日
Use the randperm function.
This might do what you want:
cols = randperm(200, 160);
(Note: Untested code, but it should work.)
  3 件のコメント
maryam
maryam 2015 年 2 月 23 日
thank you for your answer
Star Strider
Star Strider 2015 年 2 月 23 日
My pleasure!

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その他の回答 (2 件)

the cyclist
the cyclist 2015 年 2 月 23 日
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
  1 件のコメント
the cyclist
the cyclist 2015 年 2 月 23 日
idx = randsample(200,160);
C = A(idx);
D = B(idx)'

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Jos (10584)
Jos (10584) 2015 年 2 月 23 日
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 件のコメント
maryam
maryam 2015 年 2 月 23 日
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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