sv2: Compute the squared singular values of a matrix.
In HerveAbdi/data4PCCAR: Some data sets and R-functions for PCA and CA to accompany Abdi & Beaton (to appear, 2023) Principal Component and Correspondence Analysis with R
View source: R/inferences4PLSC.R
sv2 R Documentation
Compute the squared singular values of a matrix.
Description
sv2: computes the squared singular values
(i.e., eigen-values)
of a matrix.
Usage
sv2(X)
Arguments
X
a rectangular matrix (or dataframe)
Details
sv2 is wraper around eigen, it is used
for permutation and boostsrap procedures.
Value
a vector of the squared singular values.
Author(s)
Hervé Abdi
Examples
## Not run:
if(interactive()){
squared.ev <- sv2(matrix(runif(15), nrow = 3))
}
## End(Not run)
HerveAbdi/data4PCCAR documentation built on July 20, 2024, 7:52 a.m.
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View source: R/inferences4PLSC.R
| sv2 | R Documentation |
Compute the squared singular values of a matrix.
Description
sv2: computes the squared singular values
(i.e., eigen-values)
of a matrix.
Usage
sv2(X)
Arguments
X |
a rectangular matrix (or dataframe) |
Details
sv2 is wraper around eigen, it is used
for permutation and boostsrap procedures.
Value
a vector of the squared singular values.
Author(s)
Hervé Abdi
Examples
## Not run:
if(interactive()){
squared.ev <- sv2(matrix(runif(15), nrow = 3))
}
## End(Not run)
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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