CRAN
MVar 2.0.6
Multivariate Analysis
Released May 9, 2019 by Paulo Cesar Ossani
Dependencies
Package for multivariate analysis, having functions that perform simple correspondence analysis (CA) and multiple correspondence analysis (MCA), principal components analysis (PCA), canonical correlation analysis (CCA), factorial analysis (FA), multidimensional scaling (MDS), linear (LDA) and quadratic discriminant analysis (QDA), hierarchical and non-hierarchical cluster analysis, simple and multiple linear regression, multiple factor analysis (MFA) for quantitative, qualitative, frequency (MFACT) and mixed data, projection pursuit (PP), grant tour method and other useful functions for the multivariate analysis.
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>MVar</artifactId> <version>2.0.6-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>
Renjin CLI
If you're using Renjin from the command line, you load this library by invoking:
library('org.renjin.cran:MVar')
Test Results
This package was last tested against Renjin 0.9.2726 on May 11, 2019.
- Biplot_English-examples
- CA_English-examples
- CCA_English-examples
- Cluster_English-examples
- CoefVar_English-examples
- DA_English-examples
- DataCoffee_English-examples
- DataFreq_English-examples
- DataInd_English-examples
- DataMix_English-examples
- DataQuali_English-examples
- DataQuan_English-examples
- FA_English-examples
- GSVD_English-examples
- GrandTour_English-examples
- IM_English-examples
- MDS_English-examples
- MFA_English-examples
- NormData_English-examples
- NormTest_English-examples
- PCA_English-examples
- PP_Index_English-examples
- PP_Optimizer_English-examples
- Plot.CA_English-examples
- Plot.CCA_English-examples
- Plot.FA_English-examples
- Plot.MFA_English-examples
- Plot.PCA_English-examples
- Plot.PP_English-examples
- Plot.Regr_English-examples
- Regr_English-examples