Theming

Favorite theme

Choose your favorite among the predefined themes.

Hint: All start with theme_...(), but watch out for theme_set().

ggplot(___) +
  theme____() +
  _______

► Solution:

For presentations, theme_bw() or theme_minimal() look useful:

ggplot(data = mpg) +
  theme_bw() +
  geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
  scale_x_continuous(name = "Displacement") +
  scale_y_continuous(name = "Fuel economy [miles per gallon]") +
  scale_color_brewer(name = "Car class", palette = "Set2")

ggplot(data = mpg) +
  theme_minimal() +
  geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
  scale_x_continuous(name = "Displacement") +
  scale_y_continuous(name = "Fuel economy [miles per gallon]") +
  scale_color_brewer(name = "Car class", palette = "Set2")

Legend at bottom

Apply theme(legend.position = "bottom") to a plot with a legend (e.g., color, fill, shape, …). What happens if you then apply theme_bw()? Why?

► Solution:

ggplot(data = mpg) +
  theme_bw() +
  geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
  scale_x_continuous(name = "Displacement") +
  scale_y_continuous(name = "Fuel economy [miles per gallon]") +
  scale_color_brewer(name = "Car class", palette = "Set2") +
  theme(legend.position = "bottom")

theme_bw() overwrites everything, including the legend position:

ggplot(data = mpg) +
  geom_jitter(mapping = aes(x = displ, y = hwy, color = class)) +
  scale_x_continuous(name = "Displacement") +
  scale_y_continuous(name = "Fuel economy [miles per gallon]") +
  scale_color_brewer(name = "Car class", palette = "Set2") +
  theme(legend.position = "bottom") +
  theme_bw()

Copyright © 2019 Kirill Müller. Licensed under CC BY-NC 4.0.