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bartMan (version 0.1.1)

vimpPlot: vimpPlot

Description

Plot the variable importance for a BART model with the 25 quantile.

Usage

vimpPlot(trees, type = "prop", plotType = "barplot", metric = "median")

Value

A plot of variable importance.

Arguments

trees

A data frame created by `extractTreeData` function.

type

What value to return. Either the raw count 'count' or the proportions 'prop' averaged over iterations.

plotType

Which type of plot to return. Either a barplot 'barplot' with the quantiles shown as a line, a point plot with the quantiles shown as a gradient 'point', or a letter-value plot 'lvp'.

metric

Whether to show the 'mean' or 'median' importance values. Note, this has no effect when using plotType = 'lvp'.

Examples

Run this code
if(requireNamespace("dbarts", quietly = TRUE)){
 # Load the dbarts package to access the bart function
 library(dbarts)
 # Get Data
 df <- na.omit(airquality)
 # Create Simple dbarts Model For Regression:
 set.seed(1701)
 dbartModel <- bart(df[2:6], df[, 1], ntree = 5, keeptrees = TRUE, nskip = 10, ndpost = 10)

 # Tree Data
 trees_data <- extractTreeData(model = dbartModel, data = df)
 vimpPlot(trees = trees_data, plotType = 'point')
}

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