detect_outliers_mahalanobis: Detect outliers with Mahalanobis
In kueckelj/confuns: Convenience Functions
detect_outliers_mahalanobis R Documentation
Detect outliers with Mahalanobis
Description
Uses mahalanobis distance to detect outliers in a data.frame
Usage
detect_outliers_mahalanobis(df, key.name, var.names = NULL)
Arguments
df
A data.frame.
key.name
Character value. The variable that identifies each observation uniquely
with its value.
var.names
Character vector. The numeric variables according to which
outliers are detected. If NULL, all numeric variable are chosen
Value
A data.frame with columns mahal, pval and
<key.name>.
kueckelj/confuns documentation built on June 28, 2024, 9:19 a.m.
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| detect_outliers_mahalanobis | R Documentation |
Detect outliers with Mahalanobis
Description
Uses mahalanobis distance to detect outliers in a data.frame
Usage
detect_outliers_mahalanobis(df, key.name, var.names = NULL)
Arguments
df |
A data.frame. |
key.name |
Character value. The variable that identifies each observation uniquely with its value. |
var.names |
Character vector. The numeric variables according to which outliers are detected. If NULL, all numeric variable are chosen |
Value
A data.frame with columns mahal, pval and <key.name>.
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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