CRAN

jvcoords 1.0.2

Principal Component Analysis (PCA) and Whitening

Released Dec 17, 2018 by Jochen Voss

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.

Installation

Maven

This package can be included as a dependency from a Java or Scala project by including the following your project's pom.xml file. Read more about embedding Renjin in JVM-based projects.

<dependencies>
  <dependency>
    <groupId>org.renjin.cran</groupId>
    <artifactId>jvcoords</artifactId>
    <version>1.0.2-b1</version>
  </dependency>
</dependencies>
<repositories>
  <repository>
    <id>bedatadriven</id>
    <name>bedatadriven public repo</name>
    <url>https://nexus.bedatadriven.com/content/groups/public/</url>
  </repository>
</repositories>

View build log

Renjin CLI

If you're using Renjin from the command line, you load this library by invoking:

library('org.renjin.cran:jvcoords')

Test Results

This package was last tested against Renjin 0.9.2716 on Dec 19, 2018.

• PCA-examples
• PCA_test
• coords-examples
• coords_test
• standardize-examples
• standardize_test
• whiten-examples
• whiten_test

Source

View GitHub Mirror

Release History

• 1.0.2