Description Usage Arguments Details Value Author(s)
View source: R/DESP_SimpleOut.R
This function aims to detect outliers characterized by a very large Euclidean norm.
1 | DESP_SimpleOut(ve, method='MAD', iqr.mult=1.5, mad.mult=2.5, mad.constant=1.4826)
|
ve |
Vector of Euclidean norms. |
method |
The method to be used : either based on interquantile range (IQR), or median absolute deviation (MAD, chosen by default). |
iqr.mult |
The multiplicative factor associated to IQR. |
mad.mult |
The multiplicative factor associated to MAD. |
mad.constant |
The scale constant associated to MAD. |
Denoting the first quartile by Q1, the third one by Q3 and the median by Q2, if the method 'IQR' is chosen, any entry of ve
above Q3 + iqr.mult * (Q3-Q1) is considered as an outlier. If the method 'MAD' is chosen, any entry of ve
above Q2 + mad.mult * MAD is considered as an outlier.
This function returns the positions of the observations detected as outliers in ve
.
Arnak Dalalyan and Samuel Balmand.
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