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Plot Multiple MID Component Functions

Source: R/mid_plots.R
mid.plots.Rd

mid.plots() is a convenience function for applying ggmid() or plot() to multiple component functions of a "mid" object at once. It can automatically determine common plotting scales and manage the layout.

Usage

mid.plots(
  object,
  terms = mid.terms(object, interactions = FALSE),
  limits = c(NA, NA),
  intercept = FALSE,
  main.effects = FALSE,
  max.nplots = NULL,
  engine = c("ggplot2", "graphics"),
  ...
)

Arguments

object

a "mid" object.

terms

a character vector of the terms to be visualized. By default, only the main effect terms are used.

limits

a numeric vector of length two specifying the mid value limits. NA values are replaced by the minimum and/or maximum of the plotted MID values. If intercept = TRUE is set, the intercept is also included in the limit calculation.

intercept

logical. If TRUE, the intercept is added to the MID values and the plotting scale is shifted accordingly.

main.effects

logical. If TRUE, main effects are added to the interaction plots to show conditional effects. This argument disables automatic limit calculations.

max.nplots

the maximum number of plots to generate.

engine

the plotting engine to use, either "ggplot2" or "graphics".

...

optional parameters passed on to plot.mid() or ggmid().

Value

If engine is "ggplot2", mid.plots() returns a list of "ggplot" objects. Otherwise (i.e., if engine is "graphics"), mid.plots() produces plots as side-effects and returns NULL invisibly.

See also

interpret, plot.mid, ggmid

Examples

data(diamonds, package = "ggplot2")
set.seed(42)
idx <- sample(nrow(diamonds), 1e4L)
mid <- interpret(price ~ (carat + cut + color + clarity) ^ 2, diamonds[idx, ])
#> 'model' not passed: response variable in 'data' is used

# Plot selected main effects and interaction using the ggplot2 engine
mid.plots(mid, mid.terms(mid, require = "color", remove = "cut"), limits = NULL)
#> $color

#> 
#> $`carat:color`

#> 
#> $`color:clarity`

#>