geom_point: Add scatterplot points to a ggplot

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Add scatterplot points to a ggplot

Description

geom_point is a geom that should be used in conjunction with ggplot to display the relationship between two continuous variables in a scatterplot. geom_point will inherit data and any aesthetic mappings from ggplot(), so data only has to be input once.

Usage

ggplot(data, aes(x, y)) +
  geom_point(alpha, color, fill, shape, size, stroke)

Arguments

data	A tibble to be used for the scatterplot
x	Specify which variable should be drawn on the x-axis.
y	Specify which variable should be drawn on the y-axis.
alpha	opacity; a number between 0 and 1. It an also be combined with color or fill RGB values through "#RRGGBBAA" where AA = alpha value.
color	outer line color of point; can be defined by a variable, color name, or hex code.
fill	color inside of point; can be defined by a variable, color name, or hex code. Only shapes 21 - 24 allow for fill.
shape	the shape of point; can be identified by an integer, name of shape, or a single character.
size	size of point; identified by an integer. The default size is 1.5
stroke	border width of point; identified by integer.

Examples

library(gapminder)

# Adjusting the scatterplot shape, color, and fill:

gapminder %>%
  filter(country == "United States") %>%
  ggplot(aes(x = lifeExp, y = gdpPercap)) +
  geom_point(shape = 23, color = "purple", fill = "white")

# Use hex codes or color names

gapminder %>%
  ggplot(aes(x = gdpPercap, y = lifeExp)) +
  geom_point(
    shape = 21, colour = "#33CCFF", fill = "pink",
    size = 3, stroke = 1
    )

# Call `geom_point` twice to layer points

gapminder %>%
  filter(country == "United States") %>%
  ggplot(aes(x = lifeExp, y = gdpPercap)) +
  geom_point(aes(color = year), size = 5) +
  geom_point(color = "grey")

cobriant/qelp documentation built on July 1, 2022, 7:24 a.m.