vimpPlot | R Documentation |
Plot the variable importance for a BART model with the 25 quantile.
vimpPlot(trees, type = "prop", plotType = "barplot", metric = "median")
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'. |
A plot of variable importance.
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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