outlier.remove: remove outliers
In OLCPM: Online Change Point Detection for Matrix-Valued Time Series
outlier.remove R Documentation
remove outliers
Description
This function removes outliers in the data, which are far from the sample
median.
Usage
outlier.remove(x, rg = 3)
Arguments
x
a numeric data vector.
rg
a positive number indicating how the outliers are defined; see
details.
Details
An outlier is detected if it deviates from the sample median more than
rg times interquantile range.
Value
a list containing the following:
x
a new
data vector with outliers replaced with NA. The original
missing values in the data are preserved.
id
the locations of the
outliers in the data vector.
Author(s)
Yong He, Xinbing Kong, Lorenzo Trapani, Long Yu
Examples
a=c(1:5,NA,10000)
outlier.remove(a,3)
OLCPM documentation built on June 22, 2024, 9:26 a.m.
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| outlier.remove | R Documentation |
remove outliers
Description
This function removes outliers in the data, which are far from the sample median.
Usage
outlier.remove(x, rg = 3)
Arguments
x |
a numeric data vector. |
rg |
a positive number indicating how the outliers are defined; see details. |
Details
An outlier is detected if it deviates from the sample median more than rg times interquantile range.
Value
a list containing the following:
x |
a new
data vector with outliers replaced with |
id |
the locations of the outliers in the data vector. |
Author(s)
Yong He, Xinbing Kong, Lorenzo Trapani, Long Yu
Examples
a=c(1:5,NA,10000)
outlier.remove(a,3)
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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