MultivariateOutlier: Multivariate outlier detection for numerical variables
In elastacloud/automatic-data-explorer: Automatic Data Exploration
Description
Usage
Arguments
Value
Description
This function will return a list of 2 objects (1: the original dataframe with an appended column identifying outliers (outliers==0), 2: A plot of the first two components of PCA, outliers identified in red)
Usage
1
Arguments
df,
dataframe of numerical variables
Value
Returns a list of 2 objects (1: the original dataframe with an appended column identifying outliers (outliers==0), 2: A plot of the first two components of PCA, outliers identified in red)
elastacloud/automatic-data-explorer documentation built on May 8, 2019, 9:29 a.m.
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Description Usage Arguments Value
Description
This function will return a list of 2 objects (1: the original dataframe with an appended column identifying outliers (outliers==0), 2: A plot of the first two components of PCA, outliers identified in red)
Usage
1 |
Arguments
df, |
dataframe of numerical variables |
Value
Returns a list of 2 objects (1: the original dataframe with an appended column identifying outliers (outliers==0), 2: A plot of the first two components of PCA, outliers identified in red)
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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