PCAeig: Principal Components Analysis
In barebone: Multivariate Methods in Ecology with R: Basic Algorithms
Description
Usage
Arguments
Value
Note
Author(s)
See Also
Description
Principal Components Analysis via eigen decomposition of crossprodcut matrix.
Usage
1
Arguments
Y
Data matrix.
scale
Scale columns to unit variance.
Value
The function returns an object from eigen enhanced
with row scores.
values
Eigenvalues.
vectors
Orthonormal colum scores.
u
Orthonormal row scores.
Note
Function princomp uses a similar algorithm.
Author(s)
Jari Oksanen
See Also
barebone documentation built on May 2, 2019, 5:17 p.m.
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Description Usage Arguments Value Note Author(s) See Also
Description
Principal Components Analysis via eigen decomposition of crossprodcut matrix.
Usage
1 |
Arguments
Y |
Data matrix. |
scale |
Scale columns to unit variance. |
Value
The function returns an object from eigen enhanced
with row scores.
values |
Eigenvalues. |
vectors |
Orthonormal colum scores. |
u |
Orthonormal row scores. |
Note
Function princomp uses a similar algorithm.
Author(s)
Jari Oksanen
See Also
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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