outliers.ils: Detecting outliers for functional dataset
In ILS: Interlaboratory Study
outliers.ils R Documentation
Detecting outliers for functional dataset
Description
Procedure for detecting funcitonal outliers.
Usage
outliers.ils(x, fdep = depth.FM, trim = 0.01)
Arguments
x
An object of classs fdata.
fdep
Type of depth measure, by default depth.mode.
trim
The percentaje of the trimming, by default is 1%.
ILS documentation built on Jan. 16, 2023, 1:07 a.m.
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| outliers.ils | R Documentation |
Detecting outliers for functional dataset
Description
Procedure for detecting funcitonal outliers.
Usage
outliers.ils(x, fdep = depth.FM, trim = 0.01)
Arguments
x |
An object of classs |
fdep |
Type of depth measure, by default depth.mode. |
trim |
The percentaje of the trimming, by default is 1%. |
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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