Plot Importance Results

Plot Importance Results

Usage

# S3 method for class 'cjdiag_importance'
plot(
  x,
  type = "mda",
  top_n = NULL,
  base_size = NULL,
  colors = NULL,
  palette = NULL,
  theme = NULL,
  label_wrap = NULL,
  attribute.names = NULL,
  level.names = NULL,
  ...
)

Arguments

x

A cjdiag_importance object from importance()

type

Plot type: "mda" (default), "root", "combined", "cumulative", or "cumulative_pct" (forest only). For nmm objects, only "mda" and "cumulative" are valid.

top_n

Number of items to display (default 25; NULL = all levels).

base_size

Font size (default from global options or 12)

colors

Named character vector overriding specific palette colors

palette

Palette name: "default", "colorblind", or "grey"

theme

A complete ggplot2::theme() object (overrides all theme defaults)

label_wrap

Character width for label wrapping (default 35)

attribute.names

Named character vector renaming attributes in display

level.names

Named list for renaming levels

...

Additional arguments passed to primary ggplot2 geom

Value

A ggplot object

See also

Other plotting: plot.cjdiag_crt(), plot.cjdiag_forest(), plot.cjdiag_nmm(), plot.cjdiag_tree()

Examples

# \donttest{
df <- data.frame(
  y = sample(0:1, 200, TRUE),
  a = factor(sample(c("x","y"), 200, TRUE)),
  b = factor(sample(c("p","q","r"), 200, TRUE))
)
rf <- cj_fit(y ~ a + b, data = df, method = "forest")
imp <- importance(rf)
plot(imp)

# }