rankingEAT: Ranking of Variables by Efficiency Analysis Trees model.

In eat: Efficiency Analysis Trees

Ranking of Variables by Efficiency Analysis Trees model.

Description

This function computes the variable importance through an Efficiency Analysis Trees model.

Usage

rankingEAT(object, barplot = TRUE, threshold = 70, digits = 2)

Arguments

object	An EAT object.
barplot	logical. If TRUE, a barplot with the importance scores is displayed.
threshold	Importance score value in which a line is graphed.
digits	Decimal units.

Value

data.frame with the importance scores and a barplot representing the the variable importance if barplot = TRUE.

Examples

simulated <- X2Y2.sim(N = 50, border = 0.2)
EAT_model <- EAT(data = simulated, x = c(1,2), y = c(3, 4))

rankingEAT(object = EAT_model,
           barplot = TRUE,
           threshold = 70,
           digits = 2)

eat documentation built on Jan. 10, 2023, 5:13 p.m.