geom_point2: Better looking points

In see: Model Visualisation Toolbox for 'easystats' and 'ggplot2'

Better looking points

Description

The ⁠*_borderless⁠ geoms (and their shortcuts ending in 2, such as geom_point2 or geom_point_borderless) render points without an outline stroke by default. This prevents harsh edges and yields a smoother, cleaner look, especially when using transparency.

In contrast, the ⁠*_halo⁠ variants feature a border that automatically matches the plot's background color. This creates a subtle visual separation (a "halo" effect) that keeps overlapping points distinct.

Usage

geom_point2(..., stroke = 0, shape = 16)

geom_jitter2(..., size = 2, stroke = 0, shape = 16)

geom_pointrange2(..., stroke = 0)

geom_count2(..., stroke = 0)

geom_count_borderless(..., stroke = 0)

geom_point_borderless(..., stroke = 0, shape = 16)

geom_jitter_borderless(..., size = 2, stroke = 0, shape = 16)

geom_pointrange_borderless(..., stroke = 0)

geom_point_halo(...)

geom_jitter_halo(...)

geom_count_halo(...)

geom_pointrange_halo(...)

Arguments

...	Other arguments to be passed to ggplot2::geom_point(), ggplot2::geom_jitter(), ggplot2::geom_pointrange(), or ggplot2::geom_count().
stroke	Stroke thickness.
shape	Shape of points.
size	Size of points.

Note

The color aesthetics for the ⁠*_halo()⁠ functions is "fill", not "color". See 'Examples'.

Examples

library(ggplot2)
library(see)

normal <- ggplot(iris, aes(x = Petal.Width, y = Sepal.Length)) +
  geom_point(size = 8, alpha = 0.3) +
  theme_modern()

new <- ggplot(iris, aes(x = Petal.Width, y = Sepal.Length)) +
  geom_point2(size = 8, alpha = 0.3) +
  theme_modern()

plots(normal, new, n_columns = 2)

ggplot(iris, aes(x = Petal.Width, y = Sepal.Length, color = Species)) +
  geom_point_borderless(size = 4) +
  theme_modern()

theme_set(theme_abyss())
ggplot(iris, aes(x = Petal.Width, y = Sepal.Length, color = Species)) +
  geom_point_borderless(size = 4)

# add "halo" effect - note that the aesthetics is "fill", not "color"
theme_set(theme_abyss())
ggplot(iris, aes(x = Petal.Width, y = Sepal.Length, fill = Species)) +
  geom_point_halo(size = 12)

see documentation built on May 24, 2026, 5:07 p.m.