Draw a bivariate plot with marginal distributions

Port of seaborn.jointplot. Returns a patchwork composition (printable and saveable like any reaborn plot).

Usage

jointplot(
  data = NULL,
  x = NULL,
  y = NULL,
  hue = NULL,
  kind = "scatter",
  height = 6,
  ratio = 5,
  space = 0.2,
  color = NULL,
  palette = NULL,
  ...
)

Arguments

data

A data frame.

x, y

Variables.

hue

Grouping variable for color.

kind

"scatter", "kde", "reg", "hist", or "hex".

height

Figure size in inches (stored as an attribute).

ratio

Joint-axes-to-marginal size ratio.

space

Spacing between joint and marginal axes.

color, palette

Color controls.

...

Passed to the joint plotting function.

Value

A reaborn_plot (patchwork).

Examples

penguins <- load_dataset("penguins")
jointplot(data = penguins, x = "bill_length_mm", y = "bill_depth_mm", hue = "species")

jointplot(data = penguins, x = "bill_length_mm", y = "bill_depth_mm", kind = "reg")