ggplot2 Themes

Author

Affiliation

Calvin J. Chiou

National Chengchi University (NCCU)

Introduction

In this document, we will explore various themes and styles available in ggplot2.

library(ggplot2)
library(ggthemes)

# Basic plot
p <- ggplot(mpg, aes(x=displ, y=hwy, color=class)) +
  geom_point() +
  labs(title="Default Theme")

p

Below are examples of applying different themes to your plot:

Theme Minimal

p + theme_minimal() +
  labs(title="Theme Minimal")

Theme Classic

p + theme_dark() +
  labs(title="Theme Dark")

Theme Economist

p + theme_economist() +
  labs(title="Theme Economist")

Theme Economist - White

p + theme_economist_white() +
  labs(title="Theme Economist - White")

Theme Excel

p + theme_excel() +
  labs(title="Theme Excel")

Theme Excel - New

p + theme_excel_new() +
  labs(title="Theme Excel - New")

Theme Highcharts

p + theme_hc() +
  labs(title="Theme Highcharts")

Theme Google Docs

p + theme_gdocs() +
  labs(title="Theme Google Docs")

Theme 538

p + theme_fivethirtyeight() +
  labs(title="Theme 538")

Theme Stata

p + theme_stata() +
  labs(title="Theme Stata")

Theme Wall Street Journal (WSJ)

p + theme_wsj() +
  labs(title="Theme Wall Street Journal")

Theme Pander

p + theme_pander() +
  labs(title="Theme Pander")

Custom Theme

custom_theme <- theme(
  plot.title = element_text(size=14, face="bold", hjust=0.5),
  axis.title = element_text(size=12, face="bold"),
  axis.text = element_text(size=10),
  panel.background = element_rect(fill="white"),
  panel.grid.major = element_line(color="grey", size=0.5),
  panel.grid.minor = element_line(color="lightgrey", size=0.25)
)

Warning: The `size` argument of `element_line()` is deprecated as of ggplot2 3.4.0.
ℹ Please use the `linewidth` argument instead.

p + custom_theme + labs(title="Custom Theme")