Simulating a random sample from a matrix
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I am trying to randomly sample a 88x2 matrix. The sample should select an element at random from each of the 88 rows and be simulated 1,000 times.
4 个评论
Star Strider
2014-4-16
The impression I got from your original question was that you want to select a random 2-element row from your (88x2) matrix. So do you want to first select a random row and then a random column element from that row?
回答(3 个)
Andrew Newell
2014-4-16
编辑:Andrew Newell
2014-4-16
Suppose M is your matrix. The following code will produce a matrix of random selections with one row for each selection.
idx = randi(88,88,1000);
Mrand = M(idx);
2 个评论
Andrew Newell
2014-4-16
Sorry, I didn't read the question carefully enough. I have edited the above code to answer the correct problem.
W. Owen Brimijoin
2014-4-16
So for each row you want to randomly pick either the first or the second column, correct? This would result in 88 total values that are coin flips between one of the two elements in each row. There are ways of doing this all at once, but an easily understandable way is to use sub2ind to make yourself an index of random column choices, and do this 1000 times in a loop.
Try this:
Mrand = zeros(88,1000); %create an empty array for the results
for n = 1:1000,%step through the following 1000 times:
%make an index of one random col per row:
idx = sub2ind([88 2],[1:88]',randi(2,88,1));
%use this index to pick values in M:
Mrand(:,n) = M(idx);
end
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Star Strider
2014-4-16
With the clarifications (and a night’s sleep for me), I suggest:
M = rand(88,2); % Data Matrix
R = []; % Initialise ‘R’ vector
for k1 = 1:1000 % Run outer loop 1000 times
for k2 = 1:size(M,1) % Run inner loop the row size of ‘M’
ix = randi(size(M,2)); % Choose either colunm 1 or 2
R = [R; M(k2,ix)]; % Accumulate result in ‘R’
end
end
It took 21.2 seconds to generate the 88000-element ‘R’ vector on my machine.
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