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Editorial Team
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Asked: 2026-06-06T13:57:12+00:00

I have the following code: RdmMatrix = vertcat(Round_deviation_mean {:}); rslMatrix = vertcat(roundsumlive {:}); correctsMatrix=vertcat(corrects{:});

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I have the following code:

RdmMatrix = vertcat(Round_deviation_mean {:});
rslMatrix = vertcat(roundsumlive {:});
correctsMatrix=vertcat(corrects{:});
A = [ RdmMatrix(:,1), rslMatrix(:,1) ];

figure(88);
bar([RdmMatrix(:,1) rslMatrix(:,1)], 0.05, 'stack');
legend('Correct', 'Functioning');
xlabel('Run');
ylabel('Sensor Count');
hold on;

I am not sure I understand the following outout can anyone help?!

output of my code

the data of round deviation mean are zeros

here are data from 65 to 100 of round sumlive

23.000 19.000 17.000 16.000 38.000 35.000 31.000 25.000 23.000 19.000 16.000 14.000
13.000 11.000 36.000 33.000 31.000 28.000 25.000 21.000 20.000 20.000 14.000 12.000
38.000 35.000 31.000 26.000 23.000 16.000 15.000 13.000 12.000 10.000 37.000

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1 Answer

  1. Editorial Team

    The best choice was to decrease the number of runs by taking the mean.

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