CRAN

GAD 1.1.1

GAD: Analysis of variance from general principles

Released Oct 29, 2012 by Leonardo Sandrini-Neto

Dependencies

R.methodsS3 1.7.1 matrixStats 0.53.1

This package analyses complex ANOVA models with any combination of orthogonal/nested and fixed/random factors, as described by Underwood (1997). There are two restrictions: (i) data must be balanced; (ii) fixed nested factors are not allowed. Homogeneity of variances is checked using Cochran's C test and 'a posteriori' comparisons of means are done using Student-Newman-Keuls (SNK) procedure.

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>GAD</artifactId>
    <version>1.1.1-b39</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:GAD')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.

• C.test-examples
• GAD-package-examples
• as.fixed-examples
• as.random-examples
• estimates-examples
• gad-examples
• is.fixed-examples
• is.random-examples
• rats-examples
• rohlf95-examples
• snails-examples
• snk.test-examples

Source

View GitHub Mirror

Release History

• 1.1.1
• 1.1
• 1.0