Creating a column vector in a for loop

Hi everyone,

I am trying to create a column vector for the variable countB. Essentially, I am trying to store each value of countB into a column vector. Each pass of the for loop generates a new value for countB, and I want to keep track of all of those values to set up a gaussian distribution for said values.

options = ['A', 'B'];
countA = 0;
countB = 0;

for j=1:10000
    newChoice = randsample(options, 1,true, [0.987, 0.013]);

    if newChoice == 'A'
      countA=countA+1;
    else
      countB=countB+1;
    end
    countB = countB(j, 1)
end

countA
countB

Right now the code generates a single value for countB, but I would like to have a large column vector. I'm guessing I'll need to use a nested for loop.

Answer 1

[Jan]

options = ['A', 'B'];
n       = 10000;
a       = 0;
b       = 0;
countA  = zeros(n, 1);
countB  = zeros(n, 1);
for j = 1:n
    newChoice = randsample(options, 1,true, [0.987, 0.013]);
    if newChoice == 'A'
       a = a + 1;
    else
       b = b + 1;
    end
    countB(j) = b;
end

Maybe this is much easier:

n      = 10000;
countB = rand(n, 1) > 0.987;
countB = cumsum(countB);