identify_outliers: Unnest a summarized results dataframe, adding outlier...
In davidski/evaluator: Quantified Risk Assessment Toolkit
Description
Usage
Arguments
Value
Examples
Description
Given a summarized results dataframe, unnest the summary results
column and use the value at risk (VaR) column to identify all the
elements that are outliers (having a VaR >= two standard deviations)
Usage
1
identify_outliers(results)
Arguments
results
Scenario summary results
Value
The supplied dataframe with the following additional columns:
-
ale_var_zscore - Annual loss z-score
-
outlier - Logical flag when the z-score is greater than or equal to two
Examples
1
2
davidski/evaluator documentation built on Jan. 31, 2022, 3:44 a.m.
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Description Usage Arguments Value Examples
Description
Given a summarized results dataframe, unnest the summary results column and use the value at risk (VaR) column to identify all the elements that are outliers (having a VaR >= two standard deviations)
Usage
1 | identify_outliers(results)
|
Arguments
results |
Scenario summary results |
Value
The supplied dataframe with the following additional columns:
-
ale_var_zscore- Annual loss z-score -
outlier- Logical flag when the z-score is greater than or equal to two
Examples
1 2 |
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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