How would I split a vector in two based on the data values of 1 or 0?

Create two vectors from a long vector consiting of 1s and 0s. I have some data to sort and I have the values in binary form in a vector of a 43000x1 consisting of just 1s and 0s. I need to split this vector into two vectors, one consisting of 1s, and the other consisting of the 0s. This will result in two different sized vectors.

Answer 1

[Image Analyst]

vec = randi([0, 1], 43000, 1)

vec = 43000×1

0 0 0 0 0 0 1 1 0 1

mask = vec == 1;
vec0 = vec(~mask);
vec1 = vec(mask);
whos vec0;

  Name          Size             Bytes  Class     Attributes

  vec0      21552x1             172416  double              

whos vec1

  Name          Size             Bytes  Class     Attributes

  vec1      21448x1             171584  double              

% Or another way
vec0 = zeros((length(vec) - nnz(vec)), 1);
vec1 = ones(nnz(vec), 1);
whos vec0

  Name          Size             Bytes  Class     Attributes

  vec0      21552x1             172416  double              

whos vec1

  Name          Size             Bytes  Class     Attributes

  vec1      21448x1             171584  double              

[Kendell]

Thank you, that worked! I have another question to kind of add on to this one if you don't mind. Say that I have a 43000 x 50 matrix, could I organize it based on whether the first column recieved a 1 or a 0? Therefore I could get 2 Matricies. For your example, it would result in a 21448 x 50 Matrix based on 1s and a 21552 x 50 Matrix based on 0s.

[Image Analyst]

Not sure what you mean. A column is more than a single number.

Anyway, you can do masking on the first column and apply that to all columns:

m = randi([0, 1], 43000, 50);
% Make mask based on first column ONLY.
rowsWith1 = m(:, 1) == 1;
m0 = m(~rowsWith1, :);
m1 = m(rowsWith1, :);
whos m0;

  Name          Size              Bytes  Class     Attributes

  m0        21326x50            8530400  double              

whos m1

  Name          Size              Bytes  Class     Attributes

  m1        21674x50            8669600  double              

Note however that m0 and m1 will have a mixture of 0s and 1s in columns 2-50. Only the first column will be all 0 or all 1.