Create a bivariate color scale

Usage

bivariate_scale(
  data = NULL,
  x,
  y,
  x_values = NULL,
  y_values = NULL,
  x_breaks = NULL,
  y_breaks = NULL,
  method = "quantile",
  colors = NULL,
  palette = "blue_pink",
  na_color = "lightgrey"
)

Arguments

data: A data frame or sf object containing the variables.
x: The name of the first numeric column.
y: The name of the second numeric column.
x_values: Optional numeric vector for the first variable.
y_values: Optional numeric vector for the second variable.
x_breaks: Optional numeric vector of four increasing break values for the x variable. If NULL, breaks are computed from x_values.
y_breaks: Optional numeric vector of four increasing break values for the y variable. If NULL, breaks are computed from y_values.
method: Classification method. The MVP supports "quantile".
colors: A 3 by 3 matrix or 9-color vector. If NULL, a built-in palette is used.
palette: Built-in palette name. Defaults to "blue_pink". Use bivariate_palettes() to inspect available palettes.
na_color: Color for missing values. Defaults to "lightgrey".

Value

A mapgl_bivariate_scale object.