out_measures.leverage: Computes PCA leverage.
In neuroconductor-devel/clever: Calculate Leverage of Component Models
Description
Usage
Arguments
Value
Description
Computes the leverage of each observation, in the PC score matrix (U).
Optionally can identify the outliers.
Usage
1
out_measures.leverage(U, median_cutoff = NA)
Arguments
U
An n x Q matrix of PC scores.
median_cutoff
The outlier cutoff, in multiples of the median leverage.
Default: NA (do not compute outliers).
Value
A list with entries "meas" (the leverage values),
"cut" (the leverage cutoff value) and
"flag" (logical vector indicating the outliers). If
!is.null(median_cutoff), all entries except "meas" are omitted.
neuroconductor-devel/clever documentation built on Dec. 22, 2021, 12:12 a.m.
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Description Usage Arguments Value
Description
Computes the leverage of each observation, in the PC score matrix (U). Optionally can identify the outliers.
Usage
1 | out_measures.leverage(U, median_cutoff = NA)
|
Arguments
U |
An n x Q matrix of PC scores. |
median_cutoff |
The outlier cutoff, in multiples of the median leverage.
Default: |
Value
A list with entries "meas" (the leverage values),
"cut" (the leverage cutoff value) and
"flag" (logical vector indicating the outliers). If
!is.null(median_cutoff), all entries except "meas" are omitted.
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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