mlbplotR (version 1.2.0)

geom_mlb_headshots: ggplot2 Layer for Visualizing MLB/MiLB Player Headshots

Description

This geom is used to plot MLB/MiLB player headshots instead of points in a ggplot. It requires x, y aesthetics as well as a valid MLBAM id (The same ID associated with their Baseball Savant page).

Usage

geom_mlb_headshots(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  ...,
  nudge_x = 0,
  nudge_y = 0,
  na.rm = FALSE,
  show.legend = FALSE,
  inherit.aes = TRUE
)
geom_mlb_dot_headshots(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  ...,
  nudge_x = 0,
  nudge_y = 0,
  na.rm = FALSE,
  show.legend = FALSE,
  inherit.aes = TRUE
)
geom_milb_dot_headshots(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  ...,
  nudge_x = 0,
  nudge_y = 0,
  na.rm = FALSE,
  show.legend = FALSE,
  inherit.aes = TRUE
)

Value

A ggplot2 layer (ggplot2::layer()) that can be added to a plot created with ggplot2::ggplot().

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 the 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.

...

Other arguments passed on to ggplot2::layer(). These are often aesthetics, used to set an aesthetic to a fixed value. See the below section "Aesthetics" for a full list of possible arguments.

nudge_x, nudge_y

Horizontal and vertical adjustment to nudge labels by. Useful for offsetting text from points, particularly on discrete scales. Cannot be jointly specified with position.

na.rm

If FALSE, the default, missing values are removed with a warning. If TRUE, missing values are silently removed.

show.legend

logical. Should this layer be included in the legends? NA, the default, includes if any aesthetics are mapped. FALSE never includes, and TRUE always includes. It can also be a named logical vector to finely select the aesthetics to display.

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. borders().

Aesthetics

geom_mlb_headshots(), geom_mlb_dot_headshots(), geom_milb_dot_headshots(), understand the following aesthetics:

x

- The x-coordinate. Required.

y

- The y-coordinate. Required.

player_id

- The players' MLBAM (Baseball Savant) id. Required.

alpha = NULL

- The alpha channel, i.e. transparency level, as a numerical value between 0 and 1.

colour = NULL

- The image will be colorized with this colour. Use the special character "b/w" to set it to black and white. For more information on valid colour names in ggplot2 see https://ggplot2.tidyverse.org/articles/ggplot2-specs.html?q=colour#colour-and-fill

angle = 0

- The angle of the image as a numerical value between 0° and 360°.

hjust = 0.5

- The horizontal adjustment relative to the given x coordinate. Must be a numerical value between 0 and 1.

vjust = 0.5

- The vertical adjustment relative to the given y coordinate. Must be a numerical value between 0 and 1.

width = 1.0

- The desired width of the image in npc (Normalised Parent Coordinates). The default value is set to 1.0 which is big but it is necessary because all used values are computed relative to the default. A typical size is width = 0.075 (see below examples).

height = 1.0

- The desired height of the image in npc (Normalised Parent Coordinates). The default value is set to 1.0 which is big but it is necessary because all used values are computed relative to the default. A typical size is height = 0.1 (see below examples).

Examples

# \donttest{
library(mlbplotR)
library(ggplot2)

df <- data.frame(
  a = c(rep(1:3, 3), 1.5, 2.5),
  b = c(sort(rep(1:3, 3), decreasing = TRUE), 2.5, 2.5),
  player_id = c("665742",
                "677594",
                "592450",
                "608070",
                "694973",
                "518692",
                "0",
                "663728",
                "120074",
                "608369",
                "606466"),
  player_name = c("Juan Soto",
                  "Julio Rodríguez",
                  "Aaron Judge",
                  "José Ramírez",
                  "Paul Skenes",
                  "Freddie Freeman",
                  "Non Match",
                  "Cal Raleigh",
                  "David Ortiz",
                  "Corey Seager",
                  "Ketel Marte")
)

# set a custom fill colour for one player
df$colour <- ifelse(df$a == 2 & df$b == 2, NA, "b/w")

# scatterplot of the headshots
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_headshots(aes(player_id = player_id), height = 0.2) +
  geom_label(aes(label = player_name), nudge_y = -0.35, alpha = 0.5) +
  coord_cartesian(xlim = c(0.75, 3.25), ylim = c(0.7, 3.25)) +
  theme_void()

# apply alpha as constant
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_headshots(aes(player_id = player_id), height = 0.2, alpha = 0.5) +
  geom_label(aes(label = player_name), nudge_y = -0.35, alpha = 0.5) +
  coord_cartesian(xlim = c(0.75, 3.25), ylim = c(0.7, 3.25)) +
  theme_void()

# apply colour as an aesthetic and use the dot version with colored background
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_dot_headshots(aes(player_id = player_id, colour = colour), height = 0.2) +
  geom_label(aes(label = player_name), nudge_y = -0.35, alpha = 0.5) +
  coord_cartesian(xlim = c(0.75, 3.25), ylim = c(0.7, 3.25)) +
  scale_colour_identity() +
  theme_void()

# }