std_scores.svd: Calculate Standardized Scores for SVD results
In bbuchsbaum/multivarious: Extensible Data Structures for Multivariate Analysis
std_scores.svd R Documentation
Calculate Standardized Scores for SVD results
Description
Computes standardized scores from an SVD result performed by svd_wrapper.
These scores are scaled to have approximately unit variance, assuming the original
data used for SVD was centered. They differ from the s component of the
svd object, which contains scores scaled by singular values.
Usage
## S3 method for class 'svd'
std_scores(x, ...)
Arguments
x
An object of class svd, typically from svd_wrapper.
...
Extra arguments (ignored).
Value
A matrix of standardized scores (N x k) with columns having variance close to 1.
bbuchsbaum/multivarious documentation built on July 16, 2025, 11:04 p.m.
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| std_scores.svd | R Documentation |
Calculate Standardized Scores for SVD results
Description
Computes standardized scores from an SVD result performed by svd_wrapper.
These scores are scaled to have approximately unit variance, assuming the original
data used for SVD was centered. They differ from the s component of the
svd object, which contains scores scaled by singular values.
Usage
## S3 method for class 'svd'
std_scores(x, ...)
Arguments
x |
An object of class |
... |
Extra arguments (ignored). |
Value
A matrix of standardized scores (N x k) with columns having variance close to 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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