Mixture: The Mixture class

In IdMappingAnalysis: ID Mapping Analysis

Description

Package: IdMappingAnalysis
Class Mixture

Object
~~|
~~+--Mixture

Directly known subclasses:

public static class Mixture
extends Object

The constructor creates a model from a single Corr object using the number of clusters defined by G determining the optimal number of clusters by default and optionally using the Fisher transform.

Usage

Mixture(corr=NULL, G=c(1:5), Fisher=FALSE, verbose=FALSE, ...)

Arguments

corr	Corr object on wich mixture modeling is performed.
G	number of components in mixture model. If G is a vector, the optimal number of components is determined. G is a vector (1:5) by default.
Fisher	if TRUE, the Fisher transform of correlation data is performed before the model is fitted. Default is FALSE.
verbose	if TRUE enables diagnostic messages. Default is FALSE.
...	Not used.

Value

The resulting Mixture object encapsulates a data member '.model' containing the results of mixture modeling represented by the list with following components:

corr	the correlation data
clust	the clustering results data structure returned by Mclust()
sd	standard deviation derived from clust$parameters$variance$sigmasq
density	the correlation density distribution
marginalDensity	the marginal density

Fields and Methods

Methods:

	clust	Retrieve the custering results data structure.
	getData	Extract mixture component data from the Mixture object.
	getStats	Get mixture component model summary info.
	plot	Plot the results of mixture modeling.
	primaryKey	Retrieves a primary key for a given Mixture object.
	secondaryKey	Retrieves a secondary key for a given Mixture object.

Methods inherited from Object:
$, $<-, [[, [[<-, as.character, attach, attachLocally, clearCache, clearLookupCache, clone, detach, equals, extend, finalize, gc, getEnvironment, getFieldModifier, getFieldModifiers, getFields, getInstantiationTime, getStaticInstance, hasField, hashCode, ll, load, objectSize, print, registerFinalizer, save

Author(s)

Alex Lisovich, Roger Day

Examples

 mixture<-Mixture(examples$corr,G=c(1:4),Fisher=TRUE,verbose=TRUE);
 class(mixture);
 names(mixture$.model)
 

IdMappingAnalysis documentation built on Oct. 31, 2019, 3:30 a.m.