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choosing random vectors for 3 VAriables

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i have made a vector like this x(1,i), i=1 to 10e6 in a m.file(this is my output format ) now i want to choose randomly 10000 of them and then showing those vectors. i have 3 random variables that all of them produced in a format like [x(1,i), i=1 to 10e6 ] now what should i do if i want to have in my output 10e4 randomly selected for each 3 variables??i mean 10e4 vectors (selected randomly) for my 3 variables.

Accepted Answer

Paulo Silva
Paulo Silva on 8 Jun 2011
I don't understand 100% of your question but I will try
x1=randperm(10e6); %generates a permutation of values from 1 to 10e6
x2=x1(1:10e4); %get only the first 10e4 values
%replace x1 in the second line by your vector if needed
  1 Comment
Sean de Wolski
Sean de Wolski on 8 Jun 2011
And repeat Paulo's operation for the three variables. If you want all three variables to contain unique entries from x, then use x1 = randperm(10e6);x2 = x1(1:3*10e4) and extract each x2(1:10000);x2(10001:20000);etc.

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More Answers (1)

Jan
Jan on 8 Jun 2011
If you do this once, Paulo's solution is fine. If you have to do this 1000s of times, it might be a problem that RANDPERM(10e6) takes 13 seconds (on my old 1.5GHz PentiumM). Then you could use the faster FEX: Shuffle:
Index = Shuffle(10e6, 'index', 10e4);
This replies 10e4 indices taken randomly out of 1:10e6 as the RANDPERM command, but it needs 0.05 seconds olny.
Nevertheless, the question is not getting clear to me also. Please give an example for the values of the 3 variables.
  6 Comments
milad babaei
milad babaei on 9 Jun 2011
would u please tell me how should i make a m.file with respect to this code :
This function will generate a normal distribution conditional by bounds:
http://www.mathworks.com/matlabcentral/fileexchange/23832-truncated-gaussian
to make that solution run???
Jan
Jan on 9 Jun 2011
The question is still vague. Therefore I have to guess:
X = TruncatedGaussian(sigma, range, 1e7);
var1 = X(Shuffle(1e7, 'index', 1e5));
var2 = X(Shuffle(1e7, 'index', 1e5));
var3 = X(Shuffle(1e7, 'index', 1e5));
Or if the variables are not allowed to have common elements:
Index = Shuffle(1e7, 'index', 3*1e5);
var1 = X(Index(1:1e5));
var2 = X(Index(1e5+1:2*1e5));
var3 = X(Index(2*1e5+1:3*1e5));
Note: I've use the standard method "1e5" instead of your notation "10e4", which means "10.0 * 10^4".
If you want something else, please take the time to formulate all inputs and outputs exactly.

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