node_labels {gosset}

Get node labels and rules used in a party tree

Description

Returns the covariates used to split a recursive partitioning tree and the rules that were applied to build the tree

Usage

node_labels(x)

node_rules(x)

top_items(x, top = 5)

## S3 method for class 'pltree'
plot(x, log = TRUE, ref = NULL, ci.level = 0.95, ...)

Arguments

x

an object of class party

top

an integer for the number of items to return

log

logical, if TRUE log-worth coefficients are displayed instead of worth

ref

optional, character for the reference item when log = TRUE

ci.level

an integer for the confidence interval levels

...

additional arguments passed to methods. See details

Details

Argument multcomp = TRUE adds multi-comparison letters from multcompView

Value

a vector with the node labels, a data.frame with node rules, a ggplot

Author(s)

Kauê de Sousa

Examples

library("PlackettLuce")
data("beans", package = "PlackettLuce")
G = rank_tricot(data = beans,
                 items = c(1:3),
                 input = c(4:5),
                 group = TRUE,
                 additional.rank = beans[c(6:8)])
 
pld = cbind(G, beans[,c("maxTN", "season", "lon")])

tree = pltree(G ~ maxTN + season + lon, data = pld)

node_labels(tree)

node_rules(tree)

top_items(tree)

plot(tree)

plot(tree, log = TRUE)