removeOutliers: Remove data outliers
In Simularia/simulariatools: Simularia Tools for the Analysis of Air Pollution Data
View source: R/removeOutliers.R
removeOutliers R Documentation
Remove data outliers
Description
Remove data outliers based on the interquartile range.
Usage
removeOutliers(x, k = 1.5)
Arguments
x
vector of data.
k
factor to applied to the interquartile range (default = 1.5).
Details
The interquartile range IQR is computed from input dataset as IQR = Q3 - Q1,
where Q1 is 25th percentile and Q3 is the 75th percentile.
Values larger than Q3 + k * IQR and smaller than Q1 - k * IQR are deemed
as outliers and substituted with NA's.
The default value of k is 1.5.
Value
A numeric vector with the same length as input vector.
Examples
mydata <- c(-10 * runif(10), runif(10))
removeOutliers(mydata)
Simularia/simulariatools documentation built on Nov. 9, 2023, 12:36 p.m.
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View source: R/removeOutliers.R
| removeOutliers | R Documentation |
Remove data outliers
Description
Remove data outliers based on the interquartile range.
Usage
removeOutliers(x, k = 1.5)
Arguments
x |
vector of data. |
k |
factor to applied to the interquartile range (default = 1.5). |
Details
The interquartile range IQR is computed from input dataset as IQR = Q3 - Q1, where Q1 is 25th percentile and Q3 is the 75th percentile. Values larger than Q3 + k * IQR and smaller than Q1 - k * IQR are deemed as outliers and substituted with NA's.
The default value of k is 1.5.
Value
A numeric vector with the same length as input vector.
Examples
mydata <- c(-10 * runif(10), runif(10))
removeOutliers(mydata)
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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