CRAN

ToolsForCoDa 1.0.2

Multivariate Tools for Compositional Data Analysis

Released Nov 13, 2017 by Jan Graffelman

This package is available for Renjin and there are no known compatibility issues.

Dependencies

HardyWeinberg 1.5.9 MASS 7.3-49 calibrate 1.7.2

Provides functions for multivariate analysis with compositional data. Includes a function for doing compositional canonical correlation analysis. This analysis requires two data matrices of compositions, which can be adequately transformed and used as entries in a specialized program for canonical correlation analysis, that is able to deal with singular covariance matrices. The methodology is described in Graffelman et al. (2017) .

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>ToolsForCoDa</artifactId>
    <version>1.0.2-b5</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:ToolsForCoDa')

Test Results

This package was last tested against Renjin 0.9.2635 on Apr 26, 2018.

Source

R

View GitHub Mirror

Release History