midr (version 0.5.0)

ggmid.mid.importance: Plot MID Importance with ggplot2 Package

Description

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

Usage

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

Value

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

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, ])
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")