Plot MID Importance with ggplot2 Package — ggmid.mid.importance • midr

For "mid.importance" objects, ggmid() visualizes the importance of MID component functions.

Usage

# S3 method for class 'mid.importance'
ggmid(
  object,
  type = c("barplot", "dotchart", "heatmap", "boxplot"),
  theme = NULL,
  max.bars = 30L,
  ...
)

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

Arguments

object: a "mid.importance" object to be visualized.
type: a character string specifying the type of the plot. One of "barplot", "heatmap", "dotchart" or "boxplot".
theme: a character string specifying the color theme or any item that can be used to define "color.theme" object.
max.bars: an integer specifying the maximum number of bars in the barplot, boxplot and dotchart.
...: optional parameters to be passed to the main layer.

Value

ggmid.mid.importance() returns a "ggplot" object.

Details

The S3 method of ggmid() for "mid.importance" objects creates a "ggplot" object that visualizes the term importance of a fitted MID model. The main layer is drawn using geom_col(), geom_tile(), geom_point() or geom_boxplot().

Examples

data(diamonds, package = "ggplot2")
set.seed(42)
idx <- sample(nrow(diamonds), 1e4)
mid <- interpret(price ~ (carat + cut + color + clarity)^2, diamonds[idx, ])
#> 'model' not passed: response variable in 'data' is used
imp <- mid.importance(mid)
ggmid(imp, theme = "Tableau 10")

ggmid(imp, type = "dotchart", theme = "Okabe-Ito", size = 3)

ggmid(imp, type = "heatmap", theme = "Blues")

ggmid(imp, type = "boxplot", theme = "Accent")