genpathmox (version 0.6)

summary.xtree.reg: Summary function for the Pathmox Segmentation Trees: linaer regression and LAD

Description

The function summary.xtree.reg returns the most important results obtained by the function reg.pathmox. In order, it provides the parameters algorithm ( threshold significance,node size limit,tree depth level and the method used for the split partition), the basic characteristics of the tree (deep and number of terminal nodes), the basic characteristics of the nodes and the F-global and F-coefficients results. For the test results the significance level is indicated.

Usage

# S3 method for xtree.reg
summary(object, ...)

Arguments

object

An object of class "xtree.reg".

…

Further arguments are ignored.

References

Aluja, T. Lamberti, G. Sanchez, G. (2013). Modeling with heterogeneity. Meetings of Italian Statistical Society, Advances in Latent Variables - Methods, Models and Applications. Brescia.

Lamberti, G. (2014) Modeling with Heterogeneity. PhD Dissertation.

Sanchez, G. (2009) PATHMOX Approach: Segmentation Trees in Partial Least Squares Path Modeling. PhD Dissertation.

summary.xtree.pls, reg.pathmox.

Examples

# NOT RUN {
 
# }
# NOT RUN {
##example of LM in alumni satisfaction
 
data(fibtelereg)

#identify the segmentation variables  
segvar = fibtelereg[,2:11]

#select the variables
data.fib = fibtelereg[,12:18]          

#re-ordering those segmentation variables with ordinal scale
segvar$Age     = factor(segvar$Age, ordered=T)
segvar$Salary 	= factor(segvar$Salary, 
	levels=c("<18k","25k","35k","45k",">45k"), ordered=T)
segvar$Accgrade = factor(segvar$Accgrade, 
	levels=c("accnote<7","7-8accnote","accnote>8"), ordered=T)
segvar$Grade 	= factor(segvar$Grade, 
	levels=c("<6.5note","6.5-7note","7-7.5note",">7.5note"), ordered=T)

#regression PATHMOX
fib.reg.pathmox = reg.pathmox(Satisfact~.,data=data.fib,segvar,
	signif=0.05,deep=2,method="lm",size=0.15)

 summary(fib.reg.pathmox)

# }
# NOT RUN {
 
data(fibtelereg)

#identify the segmentation variables  
segvar= fibtelereg[1:50,3:4]

#select the variables
data.fib=fibtelereg[1:50,12:18]          

fib.reg.pathmox=reg.pathmox(Satisfact~.,data=data.fib,segvar,
	signif=0.05,deep=1,method="lm",size=0.15)

summary(fib.reg.pathmox)

# }