plot: Plot for CWMs

In flexCWM: Flexible Cluster-Weighted Modeling

Description

Plot method for cwm class objects.

Usage

 ## S3 method for class 'cwm'
plot(x, regr = TRUE, ctype = c("Xnorm","Xbin","Xpois",
                 "Xmult"), which = NULL, criterion = "BIC", k = NULL,
                 modelXnorm = NULL, familyY = NULL,histargs=list(breaks=31),...)

Arguments

x	An object of class cwm.
regr	boolean, allows for bivariate regression plot.
ctype	a vector with concomitant variables types to plot.
which	a vector with columns number to plot, or "all" for all the columns
criterion	a string with the information criterion to consider; supported values are:"AIC", "AICc", "AICu", "AIC3", "AWE", "BIC", "CAIC", "ICL". Default value is "BIC".
k	an optional vector containing the numbers of mixture components to consider. If not specified, all the estimated models are considered.
modelXnorm	an optional vector of character strings indicating the parsimonious models to consider for Xnorm. If not specified, all the estimated models are considered.
familyY	an optional vector of character strings indicating the conditional distribution of Y in each mixture component to consider. If not specified, all the estimated models are considered.
histargs	an optional list with hist arguments to be used in plot for normal concomitant variables.
...	further arguments for plot.

Examples

data("students")
attach(students)
str(students)
fit2 <- cwm(WEIGHT ~ HEIGHT + HEIGHT.F , Xnorm = cbind(HEIGHT, HEIGHT.F), k = 2, 
  initialization = "kmeans", modelXnorm = "EEE")
summary(fit2, concomitant = TRUE)
plot(fit2)

flexCWM documentation built on March 31, 2020, 5:22 p.m.