How can i use nchoosek to output both the k combinations and the remaining combinations?

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JT
JT on 29 Mar 2016
Commented: Paul Smits on 29 Apr 2019
I would like to run the nchoosek function and return all the k combinations as a matrix (which I can do already) but also the relavent remaining values in a separate matrix. A splitting process of all the values based on the k value.
For example if I nchoosek (where n=10 and k=4) it would output all combinations of 4 values in one matrix and all the remaining 6 values in another matrix.
Is this possible?

Answers (4)

Paul Smits
Paul Smits on 26 Apr 2019
Fastest solution so far is my rahter clumsy attempt at using logical indexing to solve the problem:
m = 10;
n = 4;
b = nchoosek(m,n);
ii = true(m,b);
ii(nchoosek(1:m,n)'+(0:m:m*b-1))=false;
xr = repmat([1:m]',1,b);
v = reshape(xr(~ii),n,b)';
w = reshape(xr(ii),m-n,b)';
Readability can be improved upon. But definitely fast.
Note that this method can also take input other than 1:m:
x = [8 8 8 6 1 2 3 4 10 4]; %other input
n = 4;
m = size(x,2);
b = nchoosek(m,n);
ii = true(m,b);
ii(nchoosek(1:m,n)'+(0:m:m*b-1))=false;
xr = repmat(x',1,b);
v = reshape(xr(~ii),n,b)';
w = reshape(xr(ii),m-n,b)';
Sidenote: A possibility for nchoosek to output remaining values directly would be quite a nice feature.
  1 Comment
Jan
Jan on 28 Apr 2019
I've posted a method, which avoid the 3 transpositions. I've tried to test it in Matlab Online without success for 15 minutes: Either the editing does not work, pressing the backspace key deletes the window, hitting Ctrl-Return executes one line only and not the complete code, etc. I gave up. Matlab Online is not working reliably. What a pity.

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Jos (10584)
Jos (10584) on 28 Apr 2019
Edited: Jos (10584) on 28 Apr 2019
The remaining values can simply be obtained using nchoosek(1:n, n-k), you just have to flip the order of the output :-)
n = 7
k = 2
A = nchoosek(1:n, k)
remainingValues = flipud(nchoosek(1:n, n-k))
% a check that the combination contains all numbers
tf = sort([A remainingValues],2) == 1:n ;
all(tf(:)) % TRUE!
  3 Comments

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Jan
Jan on 26 Apr 2019
% The loop version:
m = 10;
n = 4;
v = nchoosek(1:m, n);
nv = size(v, 1);
w = zeros(nv, m - n);
for k = 1:nv
t = 1:m;
t(v(k, :)) = [];
w(k, :) = t;
end
There must be a non-loop version also, but it will need larger temporary arrays.
  2 Comments
Jan
Jan on 28 Apr 2019
@Paul Smits: Yes, but it is trivial to expand this:
data = rand(1, 10);
... % my code
vdata = data(v);
wdata = data(w);

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Paul Smits
Paul Smits on 26 Apr 2019
I tried a way without loops, using perms instead of nchoosek:
m = 10;
n = 4;
per = perms(1:m);
[v,iper,~]= unique(sort(per(:,1:n),2),'rows');
w = sort(per(iper,n+1:end),2);
Albeit shorter, this is significantly slower than Jan's solution. Gets real slow for m of 9 or higher.

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