View source: R/geom_mlb_logos.R
geom_mlb_logos | R Documentation |
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.
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
)
mapping |
Set of aesthetic mappings created by |
data |
The data to be displayed in this layer. There are three options: If A A |
stat |
The statistical transformation to use on the data for this layer.
When using a
|
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
|
... |
Other arguments passed on to |
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 |
na.rm |
If |
show.legend |
logical. Should this layer be included in the legends?
|
inherit.aes |
If |
A ggplot2 layer (ggplot2::layer()
) that can be added to a plot
created with ggplot2::ggplot()
.
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).
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()
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