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jvcoords
View on CRAN: Click
here
Download and install jvcoords package within the R console
Install from CRAN:
install.packages("jvcoords")
Install from Github:
library("remotes")
install_github("cran/jvcoords") Install by package version:
library("remotes")
install_version("jvcoords", "1.0.3") Attach the package and use:
library("jvcoords")
Maintained by
Jochen Voss
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-12-18
Latest Update: 2021-06-05
Description:
Provides functions to standardize and whiten data, and to perform
Principal Component Analysis (PCA). The main advantage of this
package over alternatives like prcomp() is, that jvcoords makes it
easy to convert (additional) data between the original and the
transformed coordinates. The package also provides a class coords,
which can represent affine coordinate transformations. This class
forms the basis of the transformations provided by the package, but
can also be used independently. The implementation has been
optimized to be of comparable speed (and sometimes even faster) than
existing alternatives.
How to cite:
Jochen Voss (2018). jvcoords: Principal Component Analysis (PCA) and Whitening. R package version 1.0.3, https://cran.r-project.org/web/packages/jvcoords. Accessed 15 Jul. 2026.
Previous versions and publish date:
(2026-07-09 07:51), 1.0.2 (2018-12-18 00:20)
Other packages that cited jvcoords R package
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Other R packages that jvcoords depends,
imports, suggests or enhances
Complete documentation for jvcoords
Functions, R codes and Examples using
the jvcoords R package
Some associated functions: PCA . coords . jvcoords-package . standardize . whiten .
Some associated R codes: PCA.R . coords.R . standardize.R . whiten.R . Full jvcoords package functions and examples
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