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Plot a gg_boost_vimp object

Source: R/plot.gg_boost_vimp.R
autoplot.gg_boost_vimp.Rd

Variable importance as a horizontal bar chart, ordered by importance and faceted by component.

Usage

# S3 method for class 'gg_boost_vimp'
autoplot(object, ...)

# S3 method for class 'gg_boost_vimp'
plot(x, ...)

Arguments

object

A gg_boost_vimp object.

...

Passed to geom_col.

x

A gg_boost_vimp object.

Value

A ggplot object.

Details

Bars run horizontally because variable names are text and read better along the y axis than rotated beneath it, and variables are ordered by importance because an importance chart in arbitrary order is close to unreadable.

The x axis is labelled with the metric attribute carried by the extracted object. That metric is a property of how importance was computed rather than a fixed quantity, so a hard-coded label would misdescribe some objects.

A negative importance is not an error: with a permutation-style metric a variable that contributes nothing can score slightly below zero by chance.

The returned plot carries no theme.

See also

gg_boost_vimp

Examples

# \donttest{
sim <- boostmtree::simLong(n = 25, n.time = 4, model = 1)$data.list
fit <- boostmtree::boostmtree(
  x = sim$features, tm = sim$time, id = sim$id, y = sim$y,
  M = 50, cv.flag = TRUE, verbose = FALSE
)
plot(gg_boost_vimp(boostmtree::vimp.boostmtree(fit)))

# }