do_es: Computes the eigenspace of a data matrix
In idm: Incremental Decomposition Methods
do_es R Documentation
Computes the eigenspace of a data matrix
Description
This function computes the eigenspace of a mean-centered data matrix
Usage
do_es(data)
Arguments
data
a matrix or data frame
Value
A list describing the eigenspace of a data matrix, with components
u
Left eigenvectors
v
Right eigenvectors
m
Number of cases
d
Eigenvalues
orgn
Data mean
smfq
...
See Also
add_es, update.i_pca, i_pca
Examples
#Iris species
data("iris", package = "datasets")
eg = do_es(iris[,-5])
#corresponds to the SVD of the centered data matrix
idm documentation built on July 12, 2022, 1:05 a.m.
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| do_es | R Documentation |
Computes the eigenspace of a data matrix
Description
This function computes the eigenspace of a mean-centered data matrix
Usage
do_es(data)
Arguments
data |
a matrix or data frame |
Value
A list describing the eigenspace of a data matrix, with components
u |
Left eigenvectors |
v |
Right eigenvectors |
m |
Number of cases |
d |
Eigenvalues |
orgn |
Data mean |
smfq |
... |
See Also
add_es, update.i_pca, i_pca
Examples
#Iris species
data("iris", package = "datasets")
eg = do_es(iris[,-5])
#corresponds to the SVD of the centered data matrix
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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