Function: counting occurrences using 1 vector to count in another

Hi!

I have 2 vectors.

Beta = 0.4, 0.5, 0.6 1.2, 1.9, 2, 5.3, 6.7

wins = 0.4, 1.2;

1.3, 6.7.

Beta represents hit points in seconds - something occurred at 0.4 seconds, 0.5 seconds etc. Wins represents timeframes identified as important - I need to look at the timeframe between 0.4 and 1.2. I'm creating a function where there are likely to be more beta hits and more time frames. I need to examine how many hit points took place in a specific timeframe and then average it. The numbers are presented as seen and does not have time stamps.

So;

Hits = sum((beta>=wins(1,1) & beta<=wins(1,2))) = 4

timescale=wins(1,2)-wins(1,1) = 0.8 seconds

hits/timescale (4/0.8) = 5 hits average.

What amendment to the code do I need to make it run through all the time frames identified by wins and provide all the averages?

Answer 1

[Ameer Hamza]

Try this

Beta = [0.4, 0.5, 0.6 1.2, 1.9, 2, 5.3, 6.7];
wins = [0.4, 1.2;
        1.3, 6.7];

avg_vals = zeros(size(wins,1), 1);
for i=1:size(wins, 1)
    avg_vals(i) = sum(discretize(Beta, wins(i,:)), 'omitnan')/diff(wins(i,:));
end

[Nick Storr]

I'm afraid this didn't work. I'll keep looking

[Ameer Hamza]

Can you tell what the expected output for the given input vectors is?