jvcoords-package: Package overview
In seehuhn/jvcoords: Principal Component Analysis (PCA) and Whitening
Description
Author(s)
See Also
Description
The jvcoords package provides functions to standardize and whiten
data, and an implementation of Principal Component Analysis (PCA).
All three transformations are implemented using a common class
coords which allows to easily convert data from and to the
new coordinate systems.
See the documentation for standardize, whiten,
and PCA for information on how to use this package.
Author(s)
Jochen Voss <voss@seehuhn.de>
See Also
standardize,
whiten,
PCA,
coords
seehuhn/jvcoords documentation built on June 9, 2021, 3:06 p.m.
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Description Author(s) See Also
Description
The jvcoords package provides functions to standardize and whiten
data, and an implementation of Principal Component Analysis (PCA).
All three transformations are implemented using a common class
coords which allows to easily convert data from and to the
new coordinate systems.
See the documentation for standardize, whiten,
and PCA for information on how to use this package.
Author(s)
Jochen Voss <voss@seehuhn.de>
See Also
standardize,
whiten,
PCA,
coords
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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