outliers_detection: Outliers Detection 'outliers_detection' is for outliers...
In creditmodel: Toolkit for Credit Modeling, Analysis and Visualization
Description
Usage
Arguments
Value
View source: R/outliers_missing_treatment.R
Description
Outliers Detection
outliers_detection is for outliers detecting using Kmeans and Local Outlier Factor (lof)
Usage
1
outliers_detection(dat, x, kc = 3, kn = 5)
Arguments
dat
A data.frame with independent variables.
x
The name of variable to process.
kc
Number of clustering centers for Kmeans
kn
Number of neighbors for LOF.
Value
Outliers of each variable.
creditmodel documentation built on Jan. 7, 2022, 5:06 p.m.
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Description Usage Arguments Value
View source: R/outliers_missing_treatment.R
Description
Outliers Detection
outliers_detection is for outliers detecting using Kmeans and Local Outlier Factor (lof)
Usage
1 | outliers_detection(dat, x, kc = 3, kn = 5)
|
Arguments
dat |
A data.frame with independent variables. |
x |
The name of variable to process. |
kc |
Number of clustering centers for Kmeans |
kn |
Number of neighbors for LOF. |
Value
Outliers of each variable.
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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