Description Usage Arguments Value Author(s) Source References Examples
FindOutliersGrubbsTwosided
returns the position of the values
outside the allowed range by a criteria based on the Grubbs test (two-sided,
one-sided max and one-sided min).
1 | FindOutliersGrubbsTwosided(dataSeries,alpha=0.05, iterative=TRUE)
|
dataSeries |
time series of climate data |
alpha |
significance level |
iterative |
logical, TRUE=iterative, FALSE=first value only |
Vector with the positions of the outliers.
Jose Gama
NIST/SEMATECH e-Handbook of Statistical Methods, 2013 http://www.itl.nist.gov/div898/handbook/
NIST/SEMATECH e-Handbook of Statistical Methods, 2013 http://www.itl.nist.gov/div898/handbook/
1 2 3 4 | # Input data from the Tietjen and Moore paper.
y = c(199.31,199.53,200.19,200.82,201.92,201.95,202.18,245.57)
FindOutliersGrubbsTwosided(y, iterative=FALSE)
FindOutliersGrubbsTwosided(y)
|
G p posG
[1,] 2.468765 1.475612 8
G p posG
[1,] 2.468765 1.475612 8
[2,] 1.439785 1.336233 2
[3,] 1.415515 1.248505 3
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