Description Usage Arguments Details Value
View source: R/factor-normalize.R
Identify extremes in data vector by normal sigma method, and replace extremes by NA or max/min limitation
1 | clean_extremes_sigma(x, n_sigma = 3, extreme_value = c("limit", "NA"))
|
x |
a vector of data. |
n_sigma |
numbers of sigma to identify extremes, by default 3. |
extreme_value |
value to replace extremes, i.e. "limit","NA", by default "limit". |
Basing on assumption of data as normal distribution, i.e., X~N(μ,σ^2)
P(|X-μ|) > k*σ = \begin{cases} 0.317 & k=1 \\ 0.046 & k=2 \\ 0.03 & k=3 \\ \end{cases}
So we could take data beyond |3 sigma| as extremes.
1 |
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