rmOutliers: Remove outliers from numeric variables in data frame
In ryannick28/CustomFunctionsYrotha: Collection of my custom functions
View source: R/all_custom_functions.R
rmOutliers R Documentation
Remove outliers from numeric variables in data frame
Description
The function removes outliers from all numeric variables (also integers) in a data frame while leaving all other variables unchanged. Outliers are (columnwise) defined through the criterion used in the boxplot function.
Usage
rmOutliers(x, chngName = TRUE)
Arguments
x
A data frame.
chngName
A logical value indicating whether a tag should be added to the column names of all numeric variables.
Value
Returns the data frame with no outliers.
Examples
d <- iris[1:10,]
d_no <- rmOutliers(d)
d_no
ryannick28/CustomFunctionsYrotha documentation built on June 1, 2025, 4:02 p.m.
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View source: R/all_custom_functions.R
| rmOutliers | R Documentation |
Remove outliers from numeric variables in data frame
Description
The function removes outliers from all numeric variables (also integers) in a data frame while leaving all other variables unchanged. Outliers are (columnwise) defined through the criterion used in the boxplot function.
Usage
rmOutliers(x, chngName = TRUE)
Arguments
x |
A data frame. |
chngName |
A logical value indicating whether a tag should be added to the column names of all numeric variables. |
Value
Returns the data frame with no outliers.
Examples
d <- iris[1:10,]
d_no <- rmOutliers(d)
d_no
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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