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Repeat element of a vector n times without loop.

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Say I have a column vector x=[a;b;c]. I want to repeat each element n times to make a long length(x)*n vector. For example, for n=3, the answer would be:
ans=
a
a
a
b
b
b
c
c
c
Can anyone think of an elegant way to do this without looping?
Thanks,
Justin

  1 Comment

John
John on 9 Dec 2015
U can use repmat it not exactly elegant but it will do the job
x=[a;b;c]; n=3;
newx = [repmat(x(1),n,1);repmat(x(2),n,1);repmat(x(3),n,1)]

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Accepted Answer

Azzi Abdelmalek
Azzi Abdelmalek on 28 Aug 2012
Edited: Azzi Abdelmalek on 28 Aug 2012
n=3 ; x=(1:3)' % example
r=repmat(x,1,n)';
r=r(:)'

  3 Comments

Jan
Jan on 29 Aug 2012
This is more efficient than KRON. Small improvement: r = repmat(x, n, 1); without tranposing.
Jan
Jan on 29 Aug 2012
I guess, you are right. repmat(1:3, 1, 2) = [1,2,3,1,2,3] but the OP wants [1,1,2,2,3,3]. Then r = repmat(1:3, 2, 1); r = r(:) avoid the expensive transposition of the matrix. Well, I admit that even reading this message will waste more time then millions of matrix transpositions will cost...

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More Answers (6)

jack
jack on 23 Nov 2015
I would use
repelem(X,3,1)

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Walter Roberson
Walter Roberson on 28 Aug 2012
kron(x, ones(n,1))

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Show 1 older comment
Abdelrahman Abdeltawab
Abdelrahman Abdeltawab on 13 Dec 2018
Dear Walter Roberson,
why you did not use outer product and you chosen kronecker ( just curious ) because the guy's question was having vectors ?
Walter Roberson
Walter Roberson on 14 Dec 2018
The * matrix multiplication operator cannot by itself repeat elements. You would need something like
(x.' * repmat(eye(length(x)), 1, n)).'
if you wanted to use the * operator to duplicate elements -- forcing you to call upon repmat() to duplicate elements.
Using the kronecker is a known idiom for duplicating data. It can be used for non-vectors too.
>> kron([1 2;3 4], ones(3,1))
ans =
1 2
1 2
1 2
3 4
3 4
3 4

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Kevin Moerman
Kevin Moerman on 29 Aug 2012
There is several others ways of doing it which in some cases are more efficient. Have a look at what the size of your vector is and compare the methods. Below I compare speeds and it appears that on my computer the third and fourth methods are mostly faster for large arrays.
n=100000; x=1:3;
a=zeros(n,numel(x)); b=a; c=a; d=a; %memory allocation
tic; a=repmat(x, n, 1); t1=toc; %Repmat method
tic; b=kron(x, ones(n,1)); t2=toc; %kron method
tic; c=x(ones(1,n),:); t3=toc; %indexing method
tic; d=ones(n,1)*x; t4=toc; %multiplication method
Kevin

Justin Solomon
Justin Solomon on 28 Aug 2012
Thanks guys, these all work perfectly!

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Jianshe Feng
Jianshe Feng on 3 Oct 2016
y = repmat(x,1,3); y = transpose(y); y = y(:);

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Jianshe Feng
Jianshe Feng on 3 Oct 2016
ind = [1;1;1;2;2;2;3;3;3]; x(ind)

  1 Comment

Walter Roberson
Walter Roberson on 7 Apr 2017
Ah, but how do you construct the ind vector for general length n repetitions ?

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