mlbplotR: Create 'ggplot2' and 'gt' Visuals with Major League Baseball Logos

Description

Tools to help visualize Major League Baseball analysis in 'ggplot2' and 'gt'. You provide team/player information and 'mlbplotR' will transform that information into team colors, logos, or player headshots for graphics.

Usage

GeomMLBdarkcaplogo

GeomMLBlightcaplogo

GeomFromPath

GeomRefLines

GeomMiLBlogo

GeomMiLBlightcaplogo

GeomMiLBdotlogo

GeomMLBheads

GeomMLBdotheads

GeomMiLBdotheads

GeomMLBlogo

GeomMLBscoreboardlogo

GeomMLBdotlogo

Format

An object of class GeomMLBdarkcaplogo (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMLBlightcaplogo (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomFromPath (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomRefLines (inherits from Geom, ggproto, gg) of length 6.

An object of class GeomMiLBlogo (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMiLBlightcaplogo (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMiLBdotlogo (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMLBheads (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMLBdotheads (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMiLBdotheads (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMLBlogo (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMLBscoreboardlogo (inherits from Geom, ggproto, gg) of length 5.

An object of class GeomMLBdotlogo (inherits from Geom, ggproto, gg) of length 5.

Author(s)

Maintainer: Camden Kay camden.kay23@gmail.com [copyright holder]

Authors:

• Sebastian Carl mrcaseb@gmail.com

See Also

Useful links:

• https://github.com/camdenk/mlbplotR

• https://camdenk.github.io/mlbplotR/

• Report bugs at https://github.com/camdenk/mlbplotR/issues

Standardize MLB Team Abbreviations

Description

This function standardizes MLB team abbreviations to Baseball Savant defaults. This helps for joins and plotting

Usage

clean_team_abbrs(abbr, keep_non_matches = TRUE)

Arguments

Value

A character vector with the length of abbr and cleaned team abbreviations if they are included in team_data. Non matches may be replaced with NA (depending on the value of keep_non_matches).

Examples

x <- c("PIE", "STL", "WSN", "CWS", "CHW")
# use current location and keep non matches
clean_team_abbrs(x)

Theme Elements for Image Grobs

Description

In conjunction with the ggplot2::theme system, the following element_ functions enable images in non-data components of the plot, e.g. axis text.

• element_mlb_logo(), element_mlb_scoreboard_logo(), element_mlb_dot_logo(): draws MLB team logos instead of their abbreviations

• element_milb_logo, element_milb_light_cap_logo(), and element_milb_dot_logo: draws MiLB team logos instead of their team names

• element_mlb_dark_cap_logo() and element_mlb_light_cap_logo(): draws MLB team cap logos instead of their abbreviations

• element_mlb_headshot() and element_milb_dot_headshot(): draws MLB player headshots instead of their MLB IDs

• element_milb_dot_headshot(): draws MiLB player headshots instead of their MLB IDs

• element_path(): draws images from valid image URLs instead of the URL.

Usage

element_mlb_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_mlb_scoreboard_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_mlb_dot_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_mlb_dark_cap_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_mlb_light_cap_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_mlb_headshot(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_mlb_dot_headshot(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_path(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_milb_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_milb_light_cap_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_milb_dot_logo(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

element_milb_dot_headshot(
  alpha = NULL,
  colour = NA,
  hjust = NULL,
  vjust = NULL,
  color = NULL,
  size = 0.5
)

Arguments

Details

The elements translate MLB team abbreviations or MLB player IDs into logo images or headshots, respectively.

Value

An S3 object of class element.

See Also

geom_mlb_logos(), geom_mlb_headshots(), and geom_from_path() for more information on valid team abbreviations, player ids, and other parameters.

Examples

library(mlbplotR)
library(ggplot2)

team_abbr <- valid_team_names()
# remove league logos from this example
team_abbr <- team_abbr[!team_abbr %in% c("AL", "NL", "MLB")]

df <- data.frame(
  random_value = runif(length(team_abbr), 0, 1),
  teams = team_abbr
)

# use logos for x-axis
ggplot(df, aes(x = teams, y = random_value)) +
  geom_col(aes(color = teams, fill = teams), width = 0.5) +
  scale_color_mlb(type = "secondary") +
  scale_fill_mlb(alpha = 0.4) +
  theme_minimal() +
  theme(axis.text.x = element_mlb_logo())

# use logos for y-axis
ggplot(df, aes(y = teams, x = random_value)) +
  geom_col(aes(color = teams, fill = teams), width = 0.5) +
  scale_color_mlb(type = "secondary") +
  scale_fill_mlb(alpha = 0.4) +
  theme_minimal() +
  theme(axis.text.y = element_mlb_logo())

#############################################################################
# Headshot Examples
#############################################################################
library(mlbplotR)
library(ggplot2)


dfh <- data.frame(
  random_value = runif(9, 0, 1),
  player_id = c("594798",
                  "592450",
                  "605141",
                  "665742",
                  "545361",
                  "665487",
                  "571448",
                  "0",
                  "543037")
)

# use headshots for x-axis
ggplot(dfh, aes(x = player_id, y = random_value)) +
  geom_col(width = 0.5) +
  theme_minimal() +
  theme(axis.text.x = element_mlb_headshot())

# use headshots for y-axis
ggplot(dfh, aes(y = player_id, x = random_value)) +
  geom_col(width = 0.5) +
  theme_minimal() +
  theme(axis.text.y = element_mlb_headshot())

ggplot2 Layer for Visualizing MLB Team Cap Logos

Description

geom_mlb_dark_cap_logos() and geom_mlb_light_cap_logos() are used to plot MLB team cap and league logos instead of points in a ggplot. It requires x, y aesthetics as well as a valid MLB team abbreviation. The latter can be checked with valid_team_names() but is also cleaned before being plotted.

Usage

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

Arguments

Value

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

Aesthetics

geom_mlb_dark_cap_logos() and geom_mlb_light_cap_logos() understand the following aesthetics:

x

- The x-coordinate. Required.

y

- The y-coordinate. Required.

team_abbr

- The team abbreviation. Need to use Savant's abbreviation. Required.

alpha = NULL

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

colour = NULL

- The image will be colourized 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.

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). For cap logos, the scaling works better when adjusting height and not width.

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 height = 0.075 (see below examples). For cap logos, the scaling works better when adjusting height and not width.

Examples

library(mlbplotR)
library(ggplot2)

team_abbr <- valid_team_names()
# remove conference logos from this example
team_abbr <- team_abbr[!team_abbr %in% c("NL", "AL", "MLB")]

df <- data.frame(
  a = rep(1:6, 5),
  b = sort(rep(1:5, 6), decreasing = TRUE),
  teams = team_abbr
)

# keep alpha == 1 for all teams including an "A"
matches <- grepl("A", team_abbr)
df$alpha <- ifelse(matches, 1, 0.2)
# also set a custom fill colour for the non "A" teams
df$colour <- ifelse(matches, NA, "gray")

# scatterplot of all logos
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_dark_cap_logos(aes(team_abbr = teams), height = 0.075) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  theme_void()

# apply alpha via an aesthetic from inside the dataset `df`
# please note that you have to add scale_alpha_identity() to use the alpha
# values in your dataset!
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_dark_cap_logos(aes(team_abbr = teams, alpha = alpha), height = 0.075) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  scale_alpha_identity() +
  theme_void()

# apply alpha and colour via an aesthetic from inside the dataset `df`
# please note that you have to add scale_alpha_identity() as well as
# scale_colour_identity() to use the alpha and colour values in your dataset!
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_light_cap_logos(aes(team_abbr = teams, alpha = alpha, colour = colour), height = 0.075) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  scale_alpha_identity() +
  scale_colour_identity() +
  theme_void()

# apply alpha as constant for all logos
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_light_cap_logos(aes(team_abbr = teams), height = 0.075, alpha = 0.6) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  theme_void()

# it's also possible to plot league logos
league <- data.frame(a = 1:3, b = 0, teams = c("AL", "NL", "MLB"))
ggplot(league, aes(x = a, y = b)) +
  geom_mlb_dark_cap_logos(aes(team_abbr = teams), width = 0.3) +
  geom_label(aes(label = teams), nudge_y = -0.4, alpha = 0.5) +
  coord_cartesian(xlim = c(0.5,3.5), ylim = c(-0.75,.75)) +
  theme_void()

ggplot2 Layer for Visualizing Images from URLs or Local Paths

Description

This geom is used to plot MLB images instead of points in a ggplot. It requires x, y aesthetics as well as a path.

Usage

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

Arguments

Value

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

Aesthetics

geom_mlb_logos() understands the following aesthetics:

x

- The x-coordinate. Required.

y

- The y-coordinate. Required.

path

- a file path, url, raster object or bitmap array. See magick::image_read() for further information. 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 = 0.1 (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

library(mlbplotR)
library(ggplot2)

# create x-y-coordinates of a triangle and add league logo urls
df <- data.frame(
  a = c(sin(2 * pi * (0:4) / 5), 0),
  b = c(cos(2 * pi * (0:4) / 5), 0),
  url = c(
    "https://i.turner.ncaa.com/sites/default/files/images/logos/schools/bgl/virginia.svg",
    "https://i.turner.ncaa.com/sites/default/files/images/logos/schools/bgl/michigan-st.svg",
    "https://i.turner.ncaa.com/sites/default/files/images/logos/schools/bgl/lsu.svg",
    "https://i.turner.ncaa.com/sites/default/files/images/logos/schools/bgl/texas.svg",
    "https://i.turner.ncaa.com/sites/default/files/images/logos/schools/bgl/oregon.svg",
    "https://i.turner.ncaa.com/sites/default/files/images/logos/schools/bgl/james-madison.svg"
  )
)

# plot images directly from url
ggplot(df, aes(x = a, y = b)) +
  geom_from_path(aes(path = url), width = 0.15) +
  coord_cartesian(xlim = c(-2, 2), ylim = c(-1.3, 1.5)) +
  theme_void()

# plot images directly from url and apply transparency
ggplot(df, aes(x = a, y = b)) +
  geom_from_path(aes(path = url), width = 0.15, alpha = 0.5) +
  coord_cartesian(xlim = c(-2, 2), ylim = c(-1.3, 1.5)) +
  theme_void()

# It is also possible and recommended to use the underlying Geom inside a
# ggplot2 annotation
ggplot() +
  annotate(
    mlbplotR::GeomFromPath,
    x = 0,
    y = 0,
    path = "https://a.espncdn.com/combiner/i?img=/i/teamlogos/leagues/500/mlb.png",
    width = 0.4
  ) +
  theme_minimal()

ggplot2 Layer for Horizontal and Vertical Reference Lines

Description

These geoms can be used to draw horizontal or vertical reference lines in a ggplot. They use the data in the aesthetics v_var and h_var to compute their median or mean and draw the as a line.

Usage

geom_median_lines(
  mapping = NULL,
  data = NULL,
  ...,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

geom_mean_lines(
  mapping = NULL,
  data = NULL,
  ...,
  na.rm = FALSE,
  show.legend = NA,
  inherit.aes = TRUE
)

Arguments

Value

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

Aesthetics

geom_median_lines() and geom_mean_lines() understand the following aesthetics (at least one of v_var and h_var are required):

v_var

- The variable for which to compute the median/mean that is drawn as vertical line.

h_var

- The variable for which to compute the median/mean that is drawn as horizontal line.

alpha = NA

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

color = "black"

- The color of the drawn lines.

linetype = 2

- The linetype of the drawn lines.

linewidth = 0.5

- The size of the drawn lines.

See Also

The underlying ggplot2 geoms ggplot2::geom_hline() and ggplot2::geom_vline()

Examples

library(mlbplotR)
library(ggplot2)

# inherit top level aesthetics
ggplot(mtcars, aes(x = disp, y = mpg, h_var = mpg, v_var = disp)) +
  geom_point() +
  geom_median_lines() +
  geom_mean_lines(color = "blue") +
  theme_minimal()

# draw horizontal line only
ggplot(mtcars, aes(x = disp, y = mpg, h_var = mpg)) +
  geom_point() +
  geom_median_lines() +
  geom_mean_lines(color = "blue") +
  theme_minimal()

# draw vertical line only
ggplot(mtcars, aes(x = disp, y = mpg, v_var = disp)) +
  geom_point() +
  geom_median_lines() +
  geom_mean_lines(color = "blue") +
  theme_minimal()

# choose your own value
ggplot(mtcars, aes(x = disp, y = mpg)) +
  geom_point() +
  geom_median_lines(v_var = 400, h_var = 15) +
  geom_mean_lines(v_var = 150, h_var = 30, color = "blue") +
  theme_minimal()

ggplot2 Layer for Visualizing MiLB Team Logos

Description

geom_milb_logos(), geom_milb_light_cap_logos(), geom_milb_dot_logos() are used to plot MiLB team instead of points in a ggplot. It requires x, y aesthetics as well as a valid MiLB team name

Usage

geom_milb_logos(
  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_light_cap_logos(
  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_logos(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  ...,
  nudge_x = 0,
  nudge_y = 0,
  na.rm = FALSE,
  show.legend = FALSE,
  inherit.aes = TRUE
)

Arguments

Value

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

Aesthetics

geom_milb_logos(), geom_milb_light_cap_logos(), geom_milb_dot_logos() understand the following aesthetics:

x

- The x-coordinate. Required.

y

- The y-coordinate. Required.

team_name

- The team name. Need to use the full team name. Required.

alpha = NULL

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

colour = NULL

- The image will be colourized 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.

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). For cap logos, the scaling works better when adjusting height and not width.

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 height = 0.075 (see below examples). For cap logos, the scaling works better when adjusting height and not width.

Examples

library(mlbplotR)
library(ggplot2)

team_names <- c("Kannapolis Cannon Ballers", "Charlotte Knights",
                "Chesapeake Baysox", "Durham Bulls", "Montgomery Biscuits", "Las Vegas Aviators",
                "Lehigh Valley IronPigs", "Richmond Flying Squirrels", "Round Rock Express",
                "Frisco RoughRiders", "Hub City Spartanburgers", "Hickory Crawdads")

df <- data.frame(
  a = rep(1:4, 3),
  b = sort(rep(1:3, 4), decreasing = TRUE),
  teams = team_names
)

# keep alpha == 1 for all teams including an "A"
matches <- grepl("A|a", team_names)
df$alpha <- ifelse(matches, 1, 0.2)
# also set a custom fill colour for the non "A" teams
df$colour <- ifelse(matches, NA, "gray")

# scatterplot of all logos
ggplot(df, aes(x = a, y = b)) +
  geom_milb_logos(aes(team_name = teams), height = 0.1) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  theme_void()


# apply alpha and colour via an aesthetic from inside the dataset `df`
# please note that you have to add scale_alpha_identity() as well as
# scale_colour_identity() to use the alpha and colour values in your dataset!
ggplot(df, aes(x = a, y = b)) +
  geom_milb_light_cap_logos(aes(team_name = teams, alpha = alpha, colour = colour), height = 0.1) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  scale_alpha_identity() +
  scale_colour_identity() +
  theme_void()

# apply alpha as constant for all logos
ggplot(df, aes(x = a, y = b)) +
  geom_milb_dot_logos(aes(team_name = teams), height = 0.15, alpha = 0.6) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  theme_void()

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
)

Arguments

Value

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

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

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()

ggplot2 Layer for Visualizing MLB Team Logos

Description

geom_mlb_logos(), geom_mlb_scoreboard_logos(), and geom_mlb_dot_logos() are used to plot MLB team and league logos instead of points in a ggplot. It requires x, y aesthetics as well as a valid MLB team abbreviation. The latter can be checked with valid_team_names() but is also cleaned before being plotted.

Usage

geom_mlb_logos(
  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_scoreboard_logos(
  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_logos(
  mapping = NULL,
  data = NULL,
  stat = "identity",
  position = "identity",
  ...,
  nudge_x = 0,
  nudge_y = 0,
  na.rm = FALSE,
  show.legend = FALSE,
  inherit.aes = TRUE
)

Arguments

Value

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

Aesthetics

geom_mlb_logos(), geom_mlb_scoreboard_logos(), and geom_mlb_dot_logos() understand the following aesthetics:

x

- The x-coordinate. Required.

y

- The y-coordinate. Required.

team_abbr

- The team abbreviation. Need to use Savant's abbreviation. Required.

alpha = NULL

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

colour = NULL

- The image will be colourized 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

library(mlbplotR)
library(ggplot2)

team_abbr <- valid_team_names()
# remove conference logos from this example
team_abbr <- team_abbr[!team_abbr %in% c("NL", "AL", "MLB")]

df <- data.frame(
  a = rep(1:6, 5),
  b = sort(rep(1:5, 6), decreasing = TRUE),
  teams = team_abbr
)

# keep alpha == 1 for all teams including an "A"
matches <- grepl("A", team_abbr)
df$alpha <- ifelse(matches, 1, 0.2)
# also set a custom fill colour for the non "A" teams
df$colour <- ifelse(matches, NA, "gray")

# scatterplot of all logos
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_logos(aes(team_abbr = teams), width = 0.075) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  theme_void()

# apply alpha via an aesthetic from inside the dataset `df`
# please note that you have to add scale_alpha_identity() to use the alpha
# values in your dataset!
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_scoreboard_logos(aes(team_abbr = teams, alpha = alpha), width = 0.075) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  scale_alpha_identity() +
  theme_void()

# apply alpha and colour via an aesthetic from inside the dataset `df`
# please note that you have to add scale_alpha_identity() as well as
# scale_colour_identity() to use the alpha and colour values in your dataset!
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_logos(aes(team_abbr = teams, alpha = alpha, colour = colour), width = 0.075) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  scale_alpha_identity() +
  scale_colour_identity() +
  theme_void()

# apply alpha as constant for all logos
ggplot(df, aes(x = a, y = b)) +
  geom_mlb_dot_logos(aes(team_abbr = teams), width = 0.075, alpha = 0.6) +
  geom_label(aes(label = teams), nudge_y = -0.35, alpha = 0.5) +
  theme_void()

# it's also possible to plot league logos
league <- data.frame(a = 1:3, b = 0, teams = c("AL", "NL", "MLB"))
ggplot(league, aes(x = a, y = b)) +
  geom_mlb_logos(aes(team_abbr = teams), width = 0.3) +
  geom_label(aes(label = teams), nudge_y = -0.4, alpha = 0.5) +
  coord_cartesian(xlim = c(0.5,3.5), ylim = c(-0.75,.75)) +
  theme_void()

Preview ggplot in Specified Dimensions

Description

This function previews a ggplot in its actual dimensions in order to see how it will look when saved. It is also significantly faster than the default preview in RStudio for ggplots created using mlbplotR.

Usage

ggpreview(
  plot = ggplot2::last_plot(),
  width = NA,
  height = NA,
  asp = NULL,
  dpi = 300,
  device = "png",
  units = c("in", "cm", "mm", "px"),
  scale = 1,
  limitsize = TRUE,
  bg = NULL,
  ...
)

Arguments

Value

No return value, called for side effects.

Examples

library(mlbplotR)
library(ggplot2)

team_abbr <- valid_team_names()
# remove league logos from this example
team_abbr <- team_abbr[!team_abbr %in% c("AL", "NL", "MLB")]

df <- data.frame(
  random_value = runif(length(team_abbr), 0, 1),
  teams = team_abbr
)

# use logos for x-axis
# note that the plot is assigned to the object "p"
p <- ggplot(df, aes(x = teams, y = random_value)) +
  geom_col(aes(color = teams, fill = teams), width = 0.5) +
  scale_color_mlb(type = "secondary") +
  scale_fill_mlb(alpha = 0.4) +
  theme_minimal() +
  theme(axis.text.x = element_mlb_logo())

# preview p with defined width and aspect ratio (only available in RStudio)
if (rstudioapi::isAvailable()){
  ggpreview(p, width = 5, asp = 16/9)
}

Merge and stack text from two columns in gt and color one with team colors

Description

The gt_merge_stack_team_color() function takes an existing gt table and merges column 1 and column 2, stacking column 1's text on top of column 2's. Top text is in all caps while the lower text is bigger, bolded, and colored by the team name in another column. This is a slightly modified version of gtExtras::gt_merge_stack() written by Tom Mock.

Usage

gt_merge_stack_team_color(
  gt_object,
  col1,
  col2,
  team_col,
  font_sizes = c(12, 14),
  font_weights = c("lighter", "bold"),
  font_variants = c("small-caps"),
  color = "black"
)

Arguments

Value

An object of class gt_tbl.

Examples

library(gt)
library(mlbplotR)

gt_merge_example <- mlbplotR::load_mlb_teams() %>%
  dplyr::slice(1:5) %>%
  dplyr::select(team_abbr, team_location, team_mascot) %>%
  gt::gt() %>%
  gt_merge_stack_team_color(col1 = "team_location",
                            col2 = "team_mascot",
                            team_col = "team_abbr")

Add MiLB team logos into rows of a gt table

Description

The gt_fmt_milb_logo and gt_fmt_milb_dot_logo functions take an existing gt_tbl object and converts MiLB team names into team logos. This is a wrapper around gtExtras::gt_image_rows() written by Tom Mock, which is a wrapper around gt::text_transform() + gt::web_image()/ gt::local_image() with the necessary boilerplate already applied.

Usage

gt_fmt_milb_logo(gt_object, columns, height = 30, locations = NULL)

gt_fmt_milb_dot_logo(gt_object, columns, height = 30, locations = NULL)

Arguments

Value

An object of class gt_tbl.

Examples

library(gt)
library(mlbplotR)
gt_milb_example <- mlbplotR::load_milb_teams() %>%
  dplyr::filter(parent_org_name == "Texas Rangers") %>%
  dplyr::mutate(dot = team_name) %>%
  dplyr::select(team_name, dot, team_location, team_mascot) %>%
  gt::gt() %>%
  gt_fmt_milb_logo(columns = "team_name") %>%
  gt_fmt_milb_dot_logo(columns = "dot")

Add MLB team logos into rows of a gt table

Description

The gt_fmt_mlb_logo, gt_fmt_mlb_scoreboard_logo, and gt_fmt_mlb_dot_logo functions take an existing gt_tbl object and converts MLB team names from valid_team_names() into team logos. This is a wrapper around gtExtras::gt_image_rows() written by Tom Mock, which is a wrapper around gt::text_transform() + gt::web_image()/ gt::local_image() with the necessary boilerplate already applied.

Usage

gt_fmt_mlb_logo(gt_object, columns, height = 30, locations = NULL)

gt_fmt_mlb_scoreboard_logo(gt_object, columns, height = 30, locations = NULL)

gt_fmt_mlb_dot_logo(gt_object, columns, height = 30, locations = NULL)

Arguments

Value

An object of class gt_tbl.

Examples

library(gt)
library(mlbplotR)

df <- data.frame(team = valid_team_names()[1:5],
                 logo = valid_team_names()[1:5],
                 scoreboard_logo = valid_team_names()[1:5],
                 dot_logo = valid_team_names()[1:5])

gt_logo_example <- df %>%
 gt::gt() %>%
 gt_fmt_mlb_logo(columns = "logo") %>%
 gt_fmt_mlb_scoreboard_logo(columns = "scoreboard_logo") %>%
 gt_fmt_mlb_dot_logo(columns = "dot_logo")

Replace Team Abbreviations/Player IDs With Images In Column Labels

Description

gt_mlb_column_labels takes in a value of a team abbreviation or player id and converts the designated column to the corresponding image.

Usage

gt_mlb_column_labels(
  value,
  type = c("mlb_logo", "scoreboard_logo", "dot_logo", "headshot", "dot_headshot"),
  height = 30,
  na_headshot_to_logo = TRUE
)

Arguments

Value

HTML tag for image

Examples

library(gt)
library(mlbplotR)

df <- data.frame(BAL = 1,
                 TEX = 1,
                 LAD = 1,
                 "Mike_Trout" = 1,
                 "Shohei_Ohtani" = 1
                 )

gt_column_example <- df %>%
  gt::gt() %>%
  gt::cols_label(BAL = gt_mlb_column_labels("BAL", "mlb_logo"),
                 TEX = gt_mlb_column_labels("TEX", "scoreboard_logo"),
                 LAD = gt_mlb_column_labels("LAD", "dot_logo"),
                 "Mike_Trout" = gt_mlb_column_labels(545361, "dot_headshot"),
                 "Shohei_Ohtani" = gt_mlb_column_labels(660271, "headshot"))

Render Player Headshots in 'gt' Tables

Description

gt_fmt_mlb_headshot, gt_fmt_mlb_dot_headshot, and gt_fmt_milb_dot_headshot take an existing gt_tbl object and converts player ids into headshots. This is a wrapper around gtExtras::gt_image_rows() written by Tom Mock, which is a wrapper around gt::text_transform() + gt::web_image()/ gt::local_image() with the necessary boilerplate already applied.

Usage

gt_fmt_mlb_headshot(gt_object, columns, height = 30, locations = NULL)

gt_fmt_mlb_dot_headshot(gt_object, columns, height = 30, locations = NULL)

gt_fmt_milb_dot_headshot(gt_object, columns, height = 30, locations = NULL)

Arguments

Value

An object of class gt_tbl.

Examples

library(gt)
library(mlbplotR)
gt_headshot_example <- data.frame(
  player_name = c(
    "Nathan Eovaldi", "Marcus Semien", "Corey Seager", "Jacob deGrom", "Chris Martin"
  ),
  savant_id1 = c(543135, 543760, 608369, 594798, 455119),
  savant_id2 = c(543135, 543760, 608369, 594798, 455119)
  ) %>%
  gt::gt() %>%
  gt_fmt_mlb_headshot(columns = "savant_id1") %>%
  gt_fmt_mlb_dot_headshot(columns = "savant_id2")

Load Player ID Map With Headshot Info

Description

load_headshots() has been deprecated due to lack of support. Please use baseballr::chadwick_player_lu()

Usage

load_headshots()

Value

A tibble of player names and ids from various sources.

Examples

# load_headshots()

Load MiLB Team Colors, and Logos

Description

Loads team information and logos - useful for plots!

Usage

load_milb_teams()

Value

A tibble of team-level abbreviations, image URLs, and league info for Minor League Baseball Teams.

See Also

Issues with this data should be filed here: https://github.com/camdenk/mlbplotR

Examples

load_milb_teams()

Load MLB Team Colors, and Logos

Description

Loads team colors, and logos - useful for plots!

Usage

load_mlb_teams()

Value

A tibble of team-level abbreviations, image URLs, and hex color codes.

See Also

Issues with this data should be filed here: https://github.com/camdenk/mlbplotR

Examples

load_mlb_teams()

Create MLB Player Tiers

Description

This function sets up a ggplot to visualize MLB player tiers. Adapted from nflplotR

Usage

mlb_player_tiers(
  data,
  title = "MLB Player Tiers",
  subtitle = "Created with the #mlbplotR Tiermaker",
  caption = NULL,
  tier_desc = c(`1` = "MVP Candidates", `2` = "Very Good", `3` = "Medium", `4` = "Bad",
    `5` = "Negative WAR", `6` = "", `7` = ""),
  presort = FALSE,
  alpha = 1,
  width = 0.1,
  no_line_below_tier = NULL,
  devel = FALSE,
  background_color = "#1e1e1e",
  line_color = "#e0e0e0",
  title_color = "white",
  subtitle_color = "#8e8e93",
  caption_color = subtitle_color,
  tier_label_color = title_color,
  headshot_type = "main",
  na_headshot_to_logo = TRUE
)

Arguments

Value

A plot object created with ggplot2::ggplot().

Examples

library(ggplot2)
library(dplyr, warn.conflicts = FALSE)
player_ids <- load_headshots() %>%
  head(35) %>%
  pull(savant_id)

# Build the player tiers data frame
# This is completely random!
df <- data.frame(
  tier_no = sample(1:5, length(player_ids), replace = TRUE),
  player_id = player_ids
) %>%
  dplyr::group_by(tier_no) %>%
  dplyr::mutate(tier_rank = sample(1:n(), n()))

# Plot player tiers
mlb_player_tiers(df)

# Create a combined tier which is useful for tiers with lots of players that
# should be split up in two or more rows. This is done by setting an empty
# string for the tier 5 description and removing the tier separation line
# below tier number 4.
# This example also shows how to turn off the subtitle and add a caption
mlb_player_tiers(df,
                 subtitle = NULL,
                 caption = "This is the caption",
                 tier_desc = c("1" = "MVP Candidates",
                               "2" = "Very Good",
                               "3" = "Medium",
                               "4" = "A Combined Tier",
                               "5" = ""),
                 no_line_below_tier = 4)

# For the development of the tiers, it can be useful to turn off image
# rendering as this can take quite a long time. By setting `devel = TRUE`, the
# headshots are replaced by player ids which is much faster
mlb_player_tiers(df,
                 tier_desc = c("1" = "MVP Candidates",
                               "2" = "Very Good",
                               "3" = "",
                               "4" = "A Combined Tier",
                               "5" = ""),
                 no_line_below_tier = c(2, 4),
                 devel = TRUE)

Create Ordered MLB Team Factor

Description

Convert a vector of MLB team abbreviations to an ordered factor by division and team name. Intended to be used for faceted plots where team logos are used in strip texts.

Usage

mlb_team_factor(teams)

Arguments

Value

Object of class "factor"

Examples

# unsorted vector including NFL team abbreviations
teams <- c("ATL", "WSH", "MIA", "BAL", "NYY", "BOS", "PHI", "NYM", "TB", "TOR")

# defaults to sort by division and nick name in ascending order
mlb_team_factor(teams)


######### HOW TO USE IN PRACTICE #########

library(ggplot2)
library(magrittr)
# load some sample data from the ggplot2 package
plot_data <- mpg
# add a new column by randomly sampling the above defined teams vector
plot_data$team <- sample(teams, nrow(mpg), replace = TRUE)

# Now we plot the data and facet by team abbreviation. ggplot automatically
# converts the team names to a factor and sorts it alphabetically
ggplot(plot_data, aes(displ, hwy)) +
  geom_point() +
  facet_wrap(~team, ncol = 5) +
  theme_minimal()

# We'll change the order of facets by making another team name column and
# converting it to an ordered factor. Again, this defaults to sort by division,
# league, and location in ascending order.
plot_data$ordered_team <- sample(teams, nrow(mpg), replace = TRUE) %>%
  mlb_team_factor()

# Let's check how the facets are ordered now.
ggplot(plot_data, aes(displ, hwy)) +
  geom_point() +
  facet_wrap(~ordered_team, ncol = 5) +
  theme_minimal()

# The facet order looks weird because the defaults is meant to be used with
# MLB team logos. So let's use the actual logos and look at the result.
ggplot(plot_data, aes(displ, hwy)) +
  geom_point() +
  facet_wrap(~ordered_team, ncol = 5) +
  theme_minimal() +
  theme(strip.text = element_mlb_logo(size = .85))

Create MLB Team Tiers

Description

This function sets up a ggplot to visualize MLB team tiers. Adapted from nflplotR

Usage

mlb_team_tiers(
  data,
  title = "MLB Team Tiers",
  subtitle = "Created with the #mlbplotR Tiermaker",
  caption = NULL,
  tier_desc = c(`1` = "World Series", `2` = "Very Good", `3` = "Medium", `4` = "Bad", `5`
    = "Tankathon", `6` = "", `7` = ""),
  presort = FALSE,
  alpha = 1,
  width = 0.075,
  no_line_below_tier = NULL,
  devel = FALSE,
  background_color = "#1e1e1e",
  line_color = "#e0e0e0",
  title_color = "white",
  subtitle_color = "#8e8e93",
  caption_color = subtitle_color,
  tier_label_color = title_color,
  logo_type = "main"
)

Arguments

Value

A plot object created with ggplot2::ggplot().

Examples

library(ggplot2)
library(dplyr, warn.conflicts = FALSE)
teams <- valid_team_names()
# remove conference logos from this example
teams <- teams[!teams %in% c("AL", "NL", "MLB")]

# Build the team tiers data frame
# This is completely random!
df <- data.frame(
  tier_no = sample(1:5, length(teams), replace = TRUE),
  team_abbr = teams
) %>%
  dplyr::group_by(tier_no) %>%
  dplyr::mutate(tier_rank = sample(1:n(), n()))

# Plot team tiers
mlb_team_tiers(df)

# Create a combined tier which is useful for tiers with lots of teams that
# should be split up in two or more rows. This is done by setting an empty
# string for the tier 5 description and removing the tier separation line
# below tier number 4.
# This example also shows how to turn off the subtitle and add a caption
mlb_team_tiers(df,
               subtitle = NULL,
               caption = "This is the caption",
               tier_desc = c("1" = "World Series",
                             "2" = "Very Good",
                             "3" = "Medium",
                             "4" = "A Combined Tier",
                             "5" = ""),
               no_line_below_tier = 4)

# For the development of the tiers, it can be useful to turn off logo image
# rendering as this can take quite a long time. By setting `devel = TRUE`, the
# logo images are replaced by team abbreviations which is much faster
mlb_team_tiers(df,
               tier_desc = c("1" = "World Series",
                             "2" = "Very Good",
                             "3" = "",
                             "4" = "A Combined Tier",
                             "5" = ""),
               no_line_below_tier = c(2, 4),
               devel = TRUE)

Axis Scales for MLB Team Logos

Description

scale_x_mlb() and scale_y_mlb() have been superceded in favor of ⁠element_*_logo()⁠ functions These functions map MLB team names to their team logos and make them available as axis labels

Usage

scale_x_mlb(
  ...,
  expand = ggplot2::waiver(),
  guide = ggplot2::waiver(),
  position = "bottom",
  size = 12
)

scale_y_mlb(
  ...,
  expand = ggplot2::waiver(),
  guide = ggplot2::waiver(),
  position = "left",
  size = 12
)

Arguments

Details

The scale translates MLB team abbreviations into raw image html and places the html as axis labels. Because of the way ggplots are constructed, it is necessary to adjust the ggplot2::theme() after calling this scale. This can be done by calling theme_x_mlb() or theme_y_mlb() or alternatively by manually changing the relevant axis.text to ggtext::element_markdown(). However, this will only work if an underlying dependency, "gridtext", is installed with a newer version than 0.1.4

Value

A discrete ggplot2 scale created with ggplot2::scale_x_discrete() or ggplot2::scale_y_discrete().

Examples

library(mlbplotR)
library(ggplot2)

team_abbr <- valid_team_names()
# remove league logos from this example
team_abbr <- team_abbr[!team_abbr %in% c("AL", "NL", "MLB")]

df <- data.frame(
  random_value = runif(length(team_abbr), 0, 1),
  teams = team_abbr
)

if (utils::packageVersion("gridtext") > "0.1.4"){
  # use logos for x-axis
  ggplot(df, aes(x = teams, y = random_value)) +
    geom_col(aes(color = teams, fill = teams), width = 0.5) +
    scale_color_mlb(type = "secondary") +
    scale_fill_mlb(alpha = 0.4) +
    scale_x_mlb() +
    theme_minimal() +
    # theme_*_mlb requires gridtext version > 0.1.4
    theme_x_mlb()

  # use logos for y-axis
  ggplot(df, aes(y = teams, x = random_value)) +
    geom_col(aes(color = teams, fill = teams), width = 0.5) +
    scale_color_mlb(type = "secondary") +
    scale_fill_mlb(alpha = 0.4) +
    scale_y_mlb() +
    theme_minimal() +
    # theme_*_mlb requires gridtext version > 0.1.4
    theme_y_mlb()
}

Scales for MLB Team Colors

Description

These functions map MLB team names to their team colors in color and fill aesthetics

Usage

scale_color_mlb(
  type = c("primary", "secondary"),
  values = NULL,
  ...,
  aesthetics = "colour",
  breaks = ggplot2::waiver(),
  na.value = "grey50",
  guide = NULL,
  alpha = NA
)

scale_colour_mlb(
  type = c("primary", "secondary"),
  values = NULL,
  ...,
  aesthetics = "colour",
  breaks = ggplot2::waiver(),
  na.value = "grey50",
  guide = NULL,
  alpha = NA
)

scale_fill_mlb(
  type = c("primary", "secondary"),
  values = NULL,
  ...,
  aesthetics = "fill",
  breaks = ggplot2::waiver(),
  na.value = "grey50",
  guide = NULL,
  alpha = NA
)

Arguments

Value

A discrete ggplot2 scale created with ggplot2::scale_color_manual() or ggplot2::scale_fill_manual().

Examples

library(mlbplotR)
library(ggplot2)

team_abbr <- valid_team_names()
# remove league logos from this example
team_abbr <- team_abbr[!team_abbr %in% c("AL", "NL", "MLB")]

df <- data.frame(
  random_value = runif(length(team_abbr), 0, 1),
  teams = team_abbr
)
ggplot(df, aes(x = teams, y = random_value)) +
  geom_col(aes(color = teams, fill = teams), width = 0.5) +
  scale_color_mlb(type = "secondary") +
  scale_fill_mlb(alpha = 0.4) +
  theme_minimal() +
  theme(axis.text.x = element_text(angle = 45, hjust = 1))

Theme for MLB Team Logos

Description

theme_x_mlb() and theme_y_mlb() have been superceded in favor of ⁠element_*_logo()⁠ functions These functions are convenience wrappers around a theme call that activates markdown in x-axis and y-axis labels using ggtext::element_markdown().

Usage

theme_x_mlb()

theme_y_mlb()

Details

These functions are a wrapper around the function calls ggplot2::theme(axis.text.x = ggtext::element_markdown()) as well as ggplot2::theme(axis.text.y = ggtext::element_markdown()). They are made to be used in conjunction with scale_x_mlb() and scale_y_mlb() respectively.

Value

A ggplot2 theme created with ggplot2::theme().

See Also

theme_x_mlb(), theme_y_mlb()

Examples

library(mlbplotR)
library(ggplot2)

team_abbr <- valid_team_names()
# remove conference logos from this example
team_abbr <- team_abbr[!team_abbr %in% c("AL", "NL", "MLB")]

df <- data.frame(
  random_value = runif(length(team_abbr), 0, 1),
  teams = team_abbr
)
if (utils::packageVersion("gridtext") > "0.1.4"){
  ggplot(df, aes(x = teams, y = random_value)) +
    geom_col(aes(color = teams, fill = teams), width = 0.5) +
    scale_color_mlb(type = "secondary") +
    scale_fill_mlb(alpha = 0.4) +
    scale_x_mlb() +
    theme_minimal() +
    # theme_*_mlb requires gridtext version > 0.1.4
    theme_x_mlb()
}

Output Valid MLB Team Abbreviations

Description

Output Valid MLB Team Abbreviations

Usage

valid_team_names(remove_league_info = FALSE)

Arguments

Value

A vector of type "character".

Examples

# List valid team abbreviations excluding duplicates
valid_team_names()
valid_team_names(TRUE)