R Graphical Manual

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Last data update: 2014.03.03

R: Plot for CWMs

plot.cwm

R Documentation

Plot for CWMs

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, ...)

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.
`...`	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)

Plot for CWMs

Description

Usage

Arguments

Examples

Results