Calculate Guttman error trees using recursive partitioning

Description

The gTree function calculates Guttman error trees ("GETs") by recursively partitioning the Guttman errors.

Usage

gTree(formula, data = list(), type = "once")

Arguments

Value

Returns a Guttman error tree.

Examples

data(Communality)
Communality$ge <- guttmanErrors(Communality[,1:10])
Communality.tree <- gTree(ge ~ sex + age, data = Communality)
plot(Communality.tree)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(GetR)
Loading required package: party
Loading required package: grid
Loading required package: mvtnorm
Loading required package: modeltools
Loading required package: stats4
Loading required package: strucchange
Loading required package: zoo

Attaching package: 'zoo'

The following objects are masked from 'package:base':

    as.Date, as.Date.numeric

Loading required package: sandwich

Attaching package: 'GetR'

The following object is masked from 'package:grid':

    gTree

> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/GetR/gTree.Rd_%03d_medium.png", width=480, height=480)
> ### Name: gTree
> ### Title: Calculate Guttman error trees using recursive partitioning
> ### Aliases: gTree
> 
> ### ** Examples
> 
> data(Communality)
> Communality$ge <- guttmanErrors(Communality[,1:10])
> Communality.tree <- gTree(ge ~ sex + age, data = Communality)
> plot(Communality.tree)
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>