plot.importance_plot: Plot an Importance Plot object

In bertcarnell/tornado: Plots for Model Sensitivity and Variable Importance

Plot an Importance Plot object

Description

Plot an Importance Plot object

Usage

## S3 method for class 'importance_plot'
plot(
  x,
  plot = TRUE,
  nvar = NA,
  col_imp_alone = "#69BE28",
  col_imp_cumulative = "#427730",
  geom_bar_control = list(fill = "#69BE28"),
  ...
)

Arguments

x	a importance_plot object
plot	boolean to determine if the plot is displayed, or just returned
nvar	the number of variables to plot in order of importance
col_imp_alone	the color used for the variance explained by each variable alone
col_imp_cumulative	the color used for the cumulative variance explained
geom_bar_control	list of arguments to control the plotting of ggplot2::geom_bar
...	future arguments

Value

the plot

Examples

gtest <- lm(mpg ~ cyl + wt + hp + gear + carb, data = mtcars)
gtestreduced <- lm(mpg ~ 1, data = mtcars)
imp <- importance(gtest, gtestreduced)
plot(imp)

gtest <- survival::survreg(survival::Surv(futime, fustat) ~ ecog.ps*rx + age,
                           data = survival::ovarian,
                           dist = "weibull")
imp <- importance(gtest, survival::ovarian, nperm = 50)
plot(imp)

bertcarnell/tornado documentation built on Aug. 6, 2024, 10:17 p.m.