pcaoutliers: Outlier plot for PrincipalComp and facanal objects
In abnormally-distributed/cvreg: Cross Validation and Robust Estimation Utilities
Description
Usage
Arguments
Value
Description
Outlier plot for PrincipalComp and facanal objects
Usage
1
pcaoutliers(fit, plot = T, score3d = T, interact = F)
Arguments
fit
a PrincipalComp object (any of the PCA methods in this package,
however, pcaKern and pca Local do not produce the distances needed for making
this plot due to their inherently different nature).
plot
defaults to TRUE. if FALSE it returns a list of vectors identifying
orthogonal outliers and leverage points.
interact
if TRUE you can identify the data point. defaults to FALSE.
Value
a plot or a list
abnormally-distributed/cvreg documentation built on May 3, 2020, 3:45 p.m.
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Description Usage Arguments Value
Description
Outlier plot for PrincipalComp and facanal objects
Usage
1 | pcaoutliers(fit, plot = T, score3d = T, interact = F)
|
Arguments
fit |
a PrincipalComp object (any of the PCA methods in this package, however, pcaKern and pca Local do not produce the distances needed for making this plot due to their inherently different nature). |
plot |
defaults to TRUE. if FALSE it returns a list of vectors identifying orthogonal outliers and leverage points. |
interact |
if TRUE you can identify the data point. defaults to FALSE. |
Value
a plot or a list
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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