MATLAB POLYSPACE RELEASE NOTES Manual do Utilizador descarregar pdf (Página 175)

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101

Preprocessing Data

sigma3 = std(c3); % Da ta standard deviati on

hist(c3) % Plot histogram

hold on

plot([mu3 mu3],[0 N],'r','LineWidt h',2 ) % Mean

X = repmat(mu3+(1:2)*s igma3,2,1);

Y = repmat([0;N],1,2);

plot(X,Y,'g','LineWidth',2) % Standard deviations

legend('Data','Mean','Stds')

hold off

The plot shows th at some of the dat a are more th an two stand ard deviation s

above the m ean. If you identify these data as errors (not features), replace

them with

NaN values as follows:

outliers = (c3 - mu3) > 2*sigma3;

c3m=c3;%Copyc3toc3m

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