CRAN

APCanalysis 1.0

Analysis of Unreplicated Orthogonal Experiments using All Possible Comparisons

Released Nov 7, 2017 by Arden Miller

Analysis of data from unreplicated orthogonal experiments such as 2-level factorial and fractional factorial designs and Plackett-Burman designs using the all possible comparisons (APC) methodology developed by Miller (2005) .

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>APCanalysis</artifactId>
    <version>1.0-b7</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:APCanalysis')

Test Results

This package was last tested against Renjin 0.9.2644 on Jun 1, 2018.

• APCanalysis-package-examples
• EERpenalties-examples
• FDRpenalties-examples
• IERpenalties-examples
• PB12matrix-examples
• PB12response-examples
• apc-examples
• plot.apc-examples
• summary.apc-examples
• testdata-examples

Source

View GitHub Mirror

Release History

• 1.0