outliersUV: IQR to detect univariate outliers
In validmeasures/nipnTK: National Information Platforms for Nutrition Anthropometric Data Toolkit
outliersUV R Documentation
IQR to detect univariate outliers
Description
IQR to detect univariate outliers
Usage
outliersUV(x, fence = 1.5)
Arguments
x
Numeric vector
fence
IQR multiplier (defaults to 1.5)
Value
A logical vector (TRUE for an outlier)
Examples
# Use outliersUV() to detect univariate outliers in an anthropometric
# dataset from a SMART survey from Angola (rl.ex01)
svy <- rl.ex01
svy[outliersUV(svy$muac), ]
validmeasures/nipnTK documentation built on Nov. 2, 2024, 6:50 p.m.
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| outliersUV | R Documentation |
IQR to detect univariate outliers
Description
IQR to detect univariate outliers
Usage
outliersUV(x, fence = 1.5)
Arguments
x |
Numeric vector |
fence |
|
Value
A logical vector (TRUE for an outlier)
Examples
# Use outliersUV() to detect univariate outliers in an anthropometric
# dataset from a SMART survey from Angola (rl.ex01)
svy <- rl.ex01
svy[outliersUV(svy$muac), ]
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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