library(dplyr)
library(tibble)
mtcars %>%
group_by(cyl) %>%
summarize(wt = mean(wt), mpg = mean(mpg)) %>%
ungroup() %>%
mutate(wt = sprintf("%.2f", wt),
mpg = sprintf("%.1f", mpg)) -> tb
df <- tibble(x = 5.45, y = 34, tb = list(tb))
# Same as the default theme constructor
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtdefault) +
theme_classic()
# Minimal theme constructor
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtminimal) +
theme_classic()
# A theme with white background
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtbw) +
theme_bw()
# Default colour of theme superceded by aesthetic constant
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtbw, colour = "darkblue") +
theme_bw()
# A theme with dark background
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtdark) +
theme_dark()
# Default colour of theme superceded by aesthetic constant
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtdark, colour = "yellow") +
theme_dark()
# A theme with light background
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtlight)
# Default colour of theme superceded by aesthetic constant
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtlight, colour = "darkred")
# Default colour of theme superceded by aesthetic constant
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtsimple)
# Default colour of theme superceded by aesthetic constant
ggplot(mtcars, aes(wt, mpg, colour = factor(cyl))) +
geom_point() +
geom_table(data = df, aes(x = x, y = y, label = tb),
table.theme = ttheme_gtstripes) +
theme_dark()
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