detectOutliers: Detect anomalous observations (outliers).
In SWS-Methodology/faoswsTrade: FAO Trade Module
View source: R/detectOutliers.R
detectOutliers R Documentation
Detect anomalous observations (outliers).
Description
An anomalous unit value will be indicated as "outlier".
Usage
detectOutliers(tradedata = NA, method = NA, parameters = NA)
Arguments
tradedata
Trade data.
method
String: method to use for outlier detection. Currently
"boxplot" is allowed.
parameters
List: named parameters to pass to method.
Value
tradedata with an additional "outlier" column: TRUE
indicates an outlier.
SWS-Methodology/faoswsTrade documentation built on Feb. 13, 2023, 1:04 a.m.
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View source: R/detectOutliers.R
| detectOutliers | R Documentation |
Detect anomalous observations (outliers).
Description
An anomalous unit value will be indicated as "outlier".
Usage
detectOutliers(tradedata = NA, method = NA, parameters = NA)
Arguments
tradedata |
Trade data. |
method |
String: method to use for outlier detection. Currently "boxplot" is allowed. |
parameters |
List: named parameters to pass to |
Value
tradedata with an additional "outlier" column: TRUE
indicates an outlier.
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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