How can I compare two measurements which are composed of matrices such as [0 1 0 0...]

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Ruri
Ruri on 15 Mar 2019
Commented: Ruri on 19 Mar 2019
I'm currently doing analysis to compare two measurements, so I decided to use cohen's kappa.
The problem is that there are no meaningful values as a result.
For example, I have a two processed data like below.
emg = [0 0 0 0 0 1 1 0 0]; video = [0 0 0 0 0 0 0 0 0];
Do I need to make another row for 0, 1 each?, like
emg = [0 0 0 0 0 0 0 0 0];, emg = [1 1 1 1 1 0 0 1 1];
video = [0 0 0 0 0 0 0 0 0];, video = [1 1 1 1 1 1 1 1 1];
If anyone have an idea about statistical analysis, please give me a hand.
  2 Comments
Ruri
Ruri on 18 Mar 2019
Yes, I just made some scores from the video which I rated the movement as a number 1. And I also wanted to measure relevance and consistency, kind of like correlation with numeric binary datasets.

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Accepted Answer

Jos (10584)
Jos (10584) on 18 Mar 2019
You are looking for a measure of consistency between two measurements which are represented as binary vectors of the same length? My idea would be to count the discrepancies between them, and perhaps correct for the number of observations:
emg = [0 0 0 0 0 1 1 0 0]; video = [0 0 0 0 0 0 0 0 0];
fraction_of_discrepancy = sum(abs(emg - video)) / numel(emg)
  3 Comments
Ruri
Ruri on 19 Mar 2019
I think it's because my data(emg and video) is consisted of structures, not the one vector.
It's like '4 x 18 double' each.

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