replace_outliers: Replace outliers from a numeric vector.
In jemilianosf/GrisLab: Data analysis tools for Gris Lab of Neuroimmunology.
Description
Usage
Arguments
Examples
Description
Replace outliers of a numeric vector. Another name for this data processing step is "windsorization". This function defines outliers as anything above the 95th percentile, or below the 5th. It will replace values larger or smaller than this with the percentile value.
Usage
1
Arguments
x
Numeric vector to be windsorized.
Examples
1
replace_outliers(c(rnorm(10,10,1), 2, 15))
jemilianosf/GrisLab documentation built on May 14, 2019, 2:44 p.m.
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Description Usage Arguments Examples
Description
Replace outliers of a numeric vector. Another name for this data processing step is "windsorization". This function defines outliers as anything above the 95th percentile, or below the 5th. It will replace values larger or smaller than this with the percentile value.
Usage
1 |
Arguments
x |
Numeric vector to be windsorized. |
Examples
1 | replace_outliers(c(rnorm(10,10,1), 2, 15))
|
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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