pp_ggparty: PPTreereg plot with independent variable

In PPtreeregViz: Projection Pursuit Regression Tree Visualization

PPTreereg plot with independent variable

Description

projection pursuit regression tree plot with independent variable

Usage

pp_ggparty(PPTreeregOBJ,ind_variable,final.rule=5,Rule=1, ...)

Arguments

PPTreeregOBJ	PPTreereg class object
ind_variable	independent variable to show
final.rule	final rule to assign numerical values in the final nodes. 1: mean value in the final nodes 2: median value in the final nodes 3: using optimal projection 4: using all independent variables 5: using several significant independent variables
Rule	split rule 1: mean of two group means 2: weighted mean of two group means - weight with group size 3: weighted mean of two group means - weight with group sd 4: weighted mean of two group means - weight with group se 5: mean of two group medians 6: weighted mean of two group medians - weight with group size 7: weighted mean of two group median - weight with group IQR 8: weighted mean of two group median - weight with group IQR and group size
...	arguments to be passed to methods

Details

Draw projection pursuit regression tree with independent variable. It is modified from a function in partykit library.

Value

An object of the class ggplot

Examples

data(dataXY)
Model <- PPTreereg(Y~., data = dataXY, DEPTH = 2)
pp_ggparty(Model, "X1", final.rule=5)

PPtreeregViz documentation built on Dec. 24, 2022, 1:50 a.m.