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ggthemes ggplot2에 테마와 척도와 기하 요소를 추가로 모아 제공
Additional themes, scales, and geoms for ggplot2
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README 전문 보기 ↗ggthemes adds themes, scales and geoms to ggplot2 that reproduce the look of well-known publications and software, and of the graphics advocated by Edward Tufte and Stephen Few:
Install the released version from CRAN:
install.packages("ggthemes")
Or the development version from GitHub:
# install.packages("pak")
pak::pak("jrnold/ggthemes")
Every theme is shown below with its matching color scale, where it has one. Each figure links to the theme’s reference page.
Data and base plots used in the examples
library(ggplot2)
library(ggthemes)
mtcars2 <- within(mtcars, {
vs <- factor(vs, labels = c("V-shaped", "Straight"))
am <- factor(am, labels = c("Automatic", "Manual"))
cyl <- factor(cyl)
gear <- factor(gear)
})
p1 <- ggplot(mtcars2) +
geom_point(aes(x = wt, y = mpg, colour = gear)) +
labs(
title = "Fuel economy falls with weight",
x = "Weight (1000 lbs)",
y = "Fuel economy (mpg)",
colour = "Gears"
)
# `theme_map()` intentionally removes axes, so use geographic data rather than
# a scatterplot. `theme_solid()` is likewise intended to leave only geoms.
us_states <- map_data("state")
p_map <- ggplot(us_states, aes(long, lat, group = group)) +
geom_polygon(aes(fill = region), colour = "white", linewidth = 0.15) +
coord_map("albers", lat0 = 39, lat1 = 45) +
guides(fill = "none")
p_solid <- ggplot(mtcars2) +
geom_point(aes(x = wt, y = mpg, colour = gear), size = 3) +
guides(colour = "none")
p1 + theme_base() +
scale_colour_colourblind()
p1 + theme_calc() +
scale_colour_calc()
p1 + theme_clean() +
scale_colour_tableau()
p1 + theme_economist() +
scale_colour_economist()
p1 + theme_excel() +
scale_colour_excel()
p1 + theme_excel_new() +
scale_colour_excel_new()
p1 + theme_few() +
scale_colour_few()
p1 + theme_fivethirtyeight() +
scale_colour_fivethirtyeight()
p1 + theme_foundation() +
scale_colour_colourblind()
p1 + theme_gdocs() +
scale_colour_gdocs()
p1 + theme_hc() +
scale_colour_hc()
p1 + theme_igray()
p_map +
theme_map()
p1 + theme_numbers() +
scale_colour_numbers()
p1 + theme_pander() +
scale_colour_pander()
p1 + theme_par() +
scale_colour_colourblind()
p1 + theme_selenized() +
scale_colour_selenized()
p1 + theme_solarized() +
scale_colour_solarized()
p1 + theme_solarized_2() +
scale_colour_solarized()
p_solid +
theme_solid(fill = "#202124") +
scale_colour_tableau()
p1 + theme_stata() +
scale_colour_stata()
p1 + theme_tufte() +
scale_colour_few()
p1 + theme_wsj(base_size = 8) +
scale_colour_wsj()
A sample of the color palettes is shown below. The palette gallery shows every palette in the package.
geom_rangeframe() draws Tufte’s range frame, axis lines that span only
the range of the data. geom_tufteboxplot() draws his minimal box plot.
ggplot(mtcars, aes(wt, mpg)) +
geom_point() +
geom_rangeframe() +
coord_cartesian(clip = "off") +
labs(x = "Weight (1000 lbs)", y = "Miles per gallon") +
theme_tufte()
ggplot(mtcars, aes(factor(cyl), mpg)) +
geom_tufteboxplot() +
labs(x = "Cylinders", y = "Miles per gallon") +
theme_tufte()