Plot the response variable against the predictor variables.

response_plot(
  data.,
  formula.,
  geoms = NULL,
  global_aes = NULL,
  plot = TRUE,
  nrow = NULL,
  ncol = NULL
)

Arguments

data.: A data frame containing the variables in the formula.
formula.: A formula of the form y ~ x1 + x2 + ... + xn, where y is the response variable and x1, x2, ..., xn are the predictor variables. A dot as right hand side is allowed.
geoms: A list of ggplot2 geoms to be added to the plot.
global_aes: A list of global aesthetics to be added to the plot.
plot: A logical value indicating whether the plot should be displayed.
nrow, ncol: Number of rows / columns in plot.

Value

A list of ggplot2 plots.

Examples

library(ggplot2)
response_plot(iris, Sepal.Width ~ ., geoms=geom_point())

response_plot(iris, Sepal.Width ~ ., geoms=geom_point(), global_aes=list(color="Species"))

personality |> response_plot(easygon~., geoms=geom_point(), global_aes=NULL)