Package: jvcoords 1.0.3

jvcoords: Principal Component Analysis (PCA) and Whitening

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.

Authors:Jochen Voss [aut, cre]

jvcoords_1.0.3.tar.gz
jvcoords_1.0.3.zip(r-4.7-any)jvcoords_1.0.3.zip(r-4.6-any)jvcoords_1.0.3.zip(r-4.5-any)
jvcoords_1.0.3.tgz(r-4.6-any)jvcoords_1.0.3.tgz(r-4.5-any)
jvcoords_1.0.3.tar.gz(r-4.7-any)jvcoords_1.0.3.tar.gz(r-4.6-any)
jvcoords_1.0.3.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
jvcoords/json (API)

# Install 'jvcoords' in R:
install.packages('jvcoords', repos = c('https://seehuhn.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/seehuhn/jvcoords/issues

On CRAN:

Conda:

2.15 score 14 scripts 251 downloads 7 exports 0 dependencies

Last updated from:5a1a3a2444. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-develOK83
source / vignettesOK136
linux-releaseOK85
macos-releaseOK152
macos-oldrelOK166
windows-develOK56
windows-releaseOK55
windows-oldrelOK54
wasm-releaseOK81

Exports:appendTrfmcoordsfromCoordsPCAstandardizetoCoordswhiten

Dependencies: