narrowing down data sample

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Sehoon Chang 2020-4-8

评论： Sehoon Chang 2020-4-8

Hi all,

I have set restrictions to sample the outlier data and wish to narrow down outliers samples.

Three restrictions that i have set are:

Values that meet all three resitrictions shall be classified as outliers.

idx is the time variable and the W is the result.

I came up with this equation, but the result of what i wish to get is only upto the second restriction right.

please help me out how to restructure the last restriction correctly.

Thanks all.

stdDev = std(W(idx))

meanValue = mean(W(idx))

zFactor = 3

outliers = find((abs(W(idx)-meanValue) > (zFactor * stdDev)) & (W(idx) > 15) & (W(idx) == W(idx-1) == W(idx-2) == (W(idx-3))))

KALYAN ACHARJYA 2020-4-8

It might works, if you check the conecutives same values in fifferent assigment (line). Later you can easily combine them.

There the multiple answered threads to check the cosecutivs numbers, you may look at diff function

Sehoon Chang 2020-4-8

thanks!

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