CRAN
OrdinalLogisticBiplot 0.4
Biplot representations of ordinal variables
Released Jan 16, 2015 by Julio Cesar Hernandez Sanchez
Dependencies
mirt 1.28 MASS 7.3-50 NominalLogisticBiplot 0.2
Analysis of a matrix of polytomous items using Ordinal Logistic Biplots (OLB) The OLB procedure extends the binary logistic biplot to ordinal (polytomous) data. The individuals are represented as points on a plane and the variables are represented as lines rather than vectors as in a classical or binary biplot, specifying the points for each of the categories of the variable. The set of prediction regions is established by stripes perpendicular to the line between the category points, in such a way that the prediction for each individual is given by its projection into the line of the variable.
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>OrdinalLogisticBiplot</artifactId> <version>0.4-b44</version> </dependency> </dependencies> <repositories> <repository> <id>bedatadriven</id> <name>bedatadriven public repo</name> <url>https://nexus.bedatadriven.com/content/groups/public/</url> </repository> </repositories>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:OrdinalLogisticBiplot')
Test Results
This package was last tested against Renjin 0.9.2644 on Jun 2, 2018.
- BiplotDensity-examples
- CheckDataSet-examples
- LevelSatPhd-examples
- OrdinalLogBiplotEM-examples
- OrdinalLogisticBiplot-examples
- OrdinalLogisticBiplot-package-examples
- PlotClusters-examples
- plot.ordinal.logistic.biplot-examples
- plotOrdinalFittedVariable-examples
- plotOrdinalVariable-examples
- pordlogist-examples
- summary.ordinal.logistic.biplot-examples
- summary.pordlogist-examples