Works exactly like geom_point(), but renders Font Awesome icons instead of dots. Pass any data with x and y variables - no special formatting required.

Usage

geom_icon_point(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE,
  icon = NULL,
  size = 1,
  dpi = 50,
  legend_icons = TRUE,
  stroke_width = NULL,
  ...
)

Arguments

mapping

Set of aesthetic mappings created by aes(). If specified and inherit.aes = TRUE (the default), it is combined with the default mapping at the top level of the plot. You must supply mapping if there is no plot mapping.

data

The data to be displayed in this layer. There are three options:

If NULL, the default, the data is inherited from the plot data as specified in the call to ggplot().

A data.frame, or other object, will override the plot data. All objects will be fortified to produce a data frame. See fortify() for which variables will be created.

A function will be called with a single argument, the plot data. The return value must be a data.frame, and will be used as the layer data. A function can be created from a formula (e.g. ~ head(.x, 10)).

stat

The statistical transformation to use on the data for this layer. When using a geom_*() function to construct a layer, the stat argument can be used to override the default coupling between geoms and stats. The stat argument accepts the following:

A Stat ggproto subclass, for example StatCount.
A string naming the stat. To give the stat as a string, strip the function name of the stat_ prefix. For example, to use stat_count(), give the stat as "count".
For more information and other ways to specify the stat, see the layer stat documentation.

position

A position adjustment to use on the data for this layer. This can be used in various ways, including to prevent overplotting and improving the display. The position argument accepts the following:

The result of calling a position function, such as position_jitter(). This method allows for passing extra arguments to the position.
A string naming the position adjustment. To give the position as a string, strip the function name of the position_ prefix. For example, to use position_jitter(), give the position as "jitter".
For more information and other ways to specify the position, see the layer position documentation.

na.rm

logical, whether remove NA values

show.legend

Logical. Should this layer be included in the legends? NA (default) includes the layer if any aesthetics are mapped. FALSE suppresses the layer's legend entries entirely.

inherit.aes

If FALSE, overrides the default aesthetics, rather than combining with them. This is most useful for helper functions that define both data and aesthetics and shouldn't inherit behaviour from the default plot specification, e.g. annotation_borders().

icon

Default Font Awesome icon (default: NULL).

size

Default icon size (default: 1).

dpi

Icon resolution (default: 50).

legend_icons

Show icons in legend (default: TRUE).

stroke_width

Numeric. Width of the icon outline/stroke.

...

additional parameters

Value

A ggplot layer.

Aesthetics

geom_icon_point uses standard ggplot2 scatter plot aesthetics:

x - Numeric variable for x-axis
y - Numeric variable for y-axis
icon - Font Awesome icon name (optional, column or mapped)
color/colour - Color grouping
alpha - Transparency
size - Icon size

Examples

# \donttest{
library(ggplot2)
data <- data.frame(
  x = rnorm(20),
  y = rnorm(20),
  category = sample(c("A", "B", "C"), 20, replace = TRUE),
  icon = sample(c("heart", "star", "circle"), 20, replace = TRUE)
)

# Map icon to a column
ggplot(data, aes(x = x, y = y, icon = icon, color = category)) +
  geom_icon_point()
#> Warning: Multiple icons per color/group detected.
#>   
#> ! Why you are seeing this warning:
#>   The legend can only display ONE icon per group, but some groups have
#>   multiple:
#>   
#> - A: 2 icons (circle, heart)
#> - B: 3 icons (star, heart, circle)
#> - C: 2 icons (circle, heart)
#>   
#> ℹ What happens:
#>   - The most frequent icon for each group will be shown in the legend
#>   - Other icons in that group will still appear in the plot
#>   - This may confuse viewers if icons have different meanings
#>   
#> ℹ Recommended fixes:
#>   
#>   Option 1: Use consistent icons per group
#>   `df <- df %>% mutate(icon = case_when(`
#>   `sex == 'A' ~ 'male',`
#>   `sex == 'B' ~ 'female'`
#>   `))`
#>   
#>   Option 2: Create a separate grouping variable
#>   `df <- df %>% mutate(group = paste(sex, icon, sep = '_'))`
#>   `ggplot() + geom_pop(aes(icon = icon, color = group))`
#>   
#>   Option 3: Set legend_icons = FALSE to use point markers
#>   `geom_pop(..., legend_icons = FALSE)`


# Use a fixed icon
ggplot(data, aes(x = x, y = y, color = category)) +
  geom_icon_point(icon = "star")

# }

Create a scatter plot with Font Awesome icons instead of points

Usage

Arguments

Value

Aesthetics

Examples