plot_point: plot_point

In aelab: Data Processing for Aquatic Ecology

plot_point

Description

Create a scatter plot using the aelab theme.

Usage

plot_point(
  df,
  x,
  y,
  z = NULL,
  base_size = 25,
  point_size = 3,
  stroke_size = 1,
  text_color = "black",
  facet = FALSE,
  facet_x = NULL,
  facet_y = NULL,
  style = "bw"
)

Arguments

df	A data frame.
x	<['data-masking'][ggplot2::aes]> Column mapped to the x-axis.
y	<['data-masking'][ggplot2::aes]> Column mapped to the y-axis.
z	<['data-masking'][ggplot2::aes]> Optional column mapped to fill colour.
base_size	Base font size passed to the ggplot2 theme. Default 25.
point_size	Point size. Default 3.
stroke_size	Point stroke width. Default 1.
text_color	Text colour. Default "black".
facet	Logical; add facet grid? Default FALSE.
facet_x	Column name (string) for the horizontal facet dimension.
facet_y	Column name (string) for the vertical facet dimension.
style	Theme style. One of "bw", "minimal", "classic", "graycolor", "light". Default "bw".

Value

A ggplot object.

Examples

## Not run: 
df <- data.frame(x = 1:5, y = c(2,4,1,5,3), g = c("A","A","B","B","A"))
plot_point(df, x, y, g)

## End(Not run)

aelab documentation built on Feb. 23, 2026, 5:07 p.m.