flashlight (version 0.8.0)

plot.light_profile2d: Visualize 2D-Profiles, e.g. of Partial Dependence

Description

Minimal visualization of an object of class light_profile2d. The object returned is of class ggplot and can be further customized.

Usage

# S3 method for light_profile2d
plot(x, swap_dim = FALSE, rotate_x = TRUE, numeric_as_factor = FALSE, ...)

Value

An object of class ggplot2.

Arguments

x

An object of class light_profile2d.

swap_dim

Swap the facet_grid dimensions.

rotate_x

Should x axis labels be rotated by 45 degrees? Default is TRUE.

numeric_as_factor

Should numeric x and y values be converted to factors first? Default is FALSE. Useful if cut_type was not set to "equal".

...

Further arguments passed to geom_tile.

Details

The main geometry is geom_tile. Additional dimensions ("by" variable(s) and/or multiflashlight) are represented by facet_wrap/grid. For all types of profiles except "partial dependence", it is natural to see empty parts in the plot. These are combinations of the v variables that do not appear in the data. Even for type "partial dependence", gaps can occur, e.g. for cut_type = "quantile" or if n_bins are larger than the number of distinct values of a v variable. Such gaps can be suppressed by setting numeric_as_factor = TRUE or by using the arguments breaks, pd_evaluate_at or pd_grid in light_profile2d().

See Also

light_profile2d.

Examples

fit <- lm(Sepal.Length ~ ., data = iris)
fl <- flashlight(model = fit, label = "iris", data = iris, y = "Sepal.Length")
plot(light_profile2d(fl, v = c("Petal.Length", "Species")))
pr <- light_profile2d(fl, v = c("Petal.Length", "Sepal.Width"),
  type = "predicted", by = "Species", n_bins=c(2, 3), sep = ";")
plot(pr)