pcboot: To package both principal component analysis and...
In specleanr: Detecting Environmental Outliers in Data Analysis Pipelines
pcboot R Documentation
To package both principal component analysis and bootstrapping.
Description
To package both principal component analysis and bootstrapping.
Usage
pcboot(pb, var, pc, boot, pcvar)
Arguments
pb
the principal component or bootstrapped data
var
The variable of concern, which is vital for univariate outlier detection methods
pc
Whether principal component analysis will be computed. Default FALSE
boot
Whether bootstrapping will be computed. Default FALSE
pcvar
Principal component analysis to e used for outlier detection after PCA. Default PC1
specleanr documentation built on Nov. 26, 2025, 1:07 a.m.
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| pcboot | R Documentation |
To package both principal component analysis and bootstrapping.
Description
To package both principal component analysis and bootstrapping.
Usage
pcboot(pb, var, pc, boot, pcvar)
Arguments
pb |
the principal component or bootstrapped data |
var |
The variable of concern, which is vital for univariate outlier detection methods |
pc |
Whether principal component analysis will be computed. Default |
boot |
Whether bootstrapping will be computed. Default |
pcvar |
Principal component analysis to e used for outlier detection after PCA. Default |
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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