Plot MID with graphics Package — plot.mid • midr

For "mid" objects, plot() visualizes a MID component function.

Usage

# S3 method for class 'mid'
plot(
  x,
  term,
  type = c("effect", "data", "compound"),
  theme = NULL,
  intercept = FALSE,
  main.effects = FALSE,
  data = NULL,
  jitter = 0.3,
  cells.count = c(100L, 100L),
  limits = NULL,
  ...
)

Arguments

x: a "mid" object to be visualized.
term: a character string specifying the component function to be plotted.
type: character string.
theme: a character vector of color names or a character string specifying the color theme.
intercept: logical. If TRUE, the intercept is added to the MID values and the plotting scale is shifted.
main.effects: logical. If TRUE, the main effects are included in the interaction plot.
data: a data.frame to be plotted with the corresponding MID values. If not passed, data is extracted from parent.env() based on the function call of the "mid" object.
jitter: a numeric value specifying the amount of jitter for points.
cells.count: an integer or integer-valued vector of length two specifying the number of cells for the raster type interaction plot.
limits: NULL or a numeric vector of length two specifying the limits of the plotting scale. NAs are replaced by the minimum and/or maximum MID values.
...: optional parameters to be passed to the graphing function. Possible arguments are "col", "fill", "pch", "cex", "lty", "lwd" and aliases of them.

Value

plot.mid() produces a line plot or bar plot for a main effect and a filled contour plot for an interaction and returns NULL.

Details

The S3 method of plot() for "mid" objects creates a visualization of a MID component function using the functions of the graphics package.

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
plot(mid, "carat")

plot(mid, "clarity")

plot(mid, "carat:clarity", main.effects = TRUE)

plot(mid, "clarity:color", type = "data", theme = "Mako", data = diamonds[idx, ])

plot(mid, "carat:color", type = "compound", data = diamonds[idx, ])