ggplot2 Themes

Author
Affiliation

Calvin J. Chiou

National Chengchi University (NCCU)

Published

May 31, 2024

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 basic themes to your plot:

Theme Gray

p + theme_gray() +
  labs(title="Theme Gray")

Theme Dark-on-light

p + theme_bw() +
  labs(title="Theme BW")

Theme Linedraw

p + theme_linedraw() +
  labs(title="Theme Linedraw")

Theme Light

p + theme_light() +
  labs(title="Theme Light")

Theme Dark

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

Theme Minimal

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

Theme Classic

p + theme_classic() +
  labs(title="Theme Classic")

Theme Void

p + theme_void() +
  labs(title="Theme Void")

Theme Test

p + theme_test() +
  labs(title="Theme Test")

Themes in ggthemes

Below are examples of applying additional themes using package ggthemes to your plot:

Theme Economist

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

Theme Economist - White

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

Theme Excel

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

Theme Excel - New

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

Theme LibreOffice Calc

p + theme_calc() +
  labs(title="Theme Calc") +
  scale_color_calc() +
  scale_shape_calc()

Theme Highcharts

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

Theme Google Docs

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

Theme Clean

p + theme_clean() +
  labs(title="Theme Clean") +
  scale_color_canva()

Theme 538

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

Theme igray

p + theme_igray() +
  labs(title="Theme igray")

Theme few

p + theme_few() +
  labs(title="Theme few") +
  scale_color_few()

Theme Solarized

# light
p + theme_solarized() +
  labs(title="Theme Solarized") +
  scale_color_solarized()

# light2
p + theme_solarized_2() +
  labs(title="Theme Solarized2") +
  scale_color_solarized()

# dark
p + theme_solarized(light = FALSE) +
  labs(title="Theme Solarized Dark") +
  scale_color_solarized()

Theme tufte

p + theme_tufte() +
  labs(title="Theme tufte")

Theme Stata

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

Theme Wall Street Journal (WSJ)

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

Theme Pander

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

Theme Tidyquant

library(tidyquant)
# Tidyquant - basic
p + theme_tq() +
  labs(title="Theme Tidyquant") +
  scale_color_tq()

# dark
p + theme_tq_dark() +
  labs(title="Theme Tidyquant Dark") +
  scale_color_tq()

# green
p + theme_tq_green() +
  labs(title="Theme Tidyquant Green") +
  scale_color_tq()

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", linewidth = 0.5),
  panel.grid.minor = element_line(color = "lightgrey", linewidth = 0.25)
)

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

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