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hrbrthemes

Additional Themes and Theme Components for ‘ggplot2’

This is a very focused package that provides typography-centric themes and theme components for ggplot2.

The core theme: theme_ipsum (“ipsum” is Latin for “precise”) uses Arial Narrow which should be installed on practically any modern system, so it’s “free”-ish. This font is condensed, has solid default kerning pairs and geometric numbers. That’s what I consider the “font trifecta” must-have for charts. An additional quality for fonts for charts is that they have a diversity of weights. Arial Narrow (the one on most systems, anyway) does not have said diversity but this quality is not (IMO) a “must have”.

The following functions are implemented/objects are exported:

Themes:

• theme_ipsum: Arial Narrow
• theme_ipsum_gs: Goldman Sans Condensed
• theme_ipsum_es: Econ Sans Condensed
• theme_ipsum_rc: Roboto Condensed
• theme_ipsum_ps: IBM Plex Sans font
• theme_ipsum_pub: Public Sans
• theme_ipsum_tw: Titilium Web
• theme_modern_rc: Roboto Condensed dark theme
• theme_ft_rc: Dark theme based on FT’s dark theme (Roboto Condensed)

Scales (that align with various themes):

• scale_color_ipsum: Discrete color & fill scales based on the ipsum palette
• scale_colour_ipsum: Discrete color & fill scales based on the ipsum palette
• scale_fill_ipsum: Discrete color & fill scales based on the ipsum palette
• scale_color_ft: Discrete color & fill scales based on the FT palette
• scale_colour_ft: Discrete color & fill scales based on the FT palette
• scale_fill_ft: Discrete color & fill scales based on the FT palette
• scale_x_comma: X & Y scales with opinionated presets for percent & comma label formats
• scale_x_percent: X & Y scales with opinionated presets for percent & comma label formats
• scale_y_comma: X & Y scales with opinionated presets for percent & comma label formats
• scale_y_percent: X & Y scales with opinionated presets for percent & comma label formats

Palettes/Named Colors:

• ipsum_pal: A muted, qualitative color palette
• ft_cols: FT color palette
• ft_pal: A bright qualitative color palette
• ft_text_col: FT color palette

Fonts:

• font_an: Arial Narrow font name R variable aliases
• font_es: Econ Sans font name R variable aliases
• font_es_bold: Econ Sans font name R variable aliases
• font_es_light: Econ Sans font name R variable aliases
• font_rc: Roboto Condensed font name R variable aliases
• font_rc_light: Roboto Condensed font name R variable aliases
• font_pub: Public Sans font name R variable aliases
• font_pub_bold: Public Sans font name R variable aliases
• font_pub_light: Public Sans font name R variable aliases
• font_pub_thin: Public Sans font name R variable aliases
• font_ps: PlexSans font name R variable aliases
• font_ps_light: PlexSans font name R variable aliases

Utilities:

• flush_ticks: Makes axis text labels flush on the ends
• ft_geom_defaults: Change geom defaults from black to custom lights for the FT theme
• gg_check: Spell check ggplot2 plot labels
• import_econ_sans: Import Econ Sans Condensed font for use in charts
• import_plex_sans: Import IBM Plex Sans font for use in charts
• import_roboto_condensed: Import Roboto Condensed font for use in charts
• modern_geom_defaults: Change geom defaults from black to white for the modern theme
• update_geom_font_defaults: Update matching font defaults for text geoms

Installation

install.packages("hrbrthemes") # NOTE: CRAN version is 0.8.0
# or
remotes::install_gitlab("hrbrmstr/hrbrthemes")

NOTE: To use the ‘remotes’ install options you will need to have the {remotes} package installed.

Usage

library(hrbrthemes)
library(gcookbook)
library(tidyverse)

# current version
packageVersion("hrbrthemes")
## [1] '0.8.7'

Base theme (Arial Narrow)

ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  labs(x="Fuel efficiency (mpg)", y="Weight (tons)",
       title="Seminal ggplot2 scatterplot example",
       subtitle="A plot that is only useful for demonstration purposes",
       caption="Brought to you by the letter 'g'") + 
  theme_ipsum()

Roboto Condensed

ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  labs(x="Fuel efficiency (mpg)", y="Weight (tons)",
       title="Seminal ggplot2 scatterplot example",
       subtitle="A plot that is only useful for demonstration purposes",
       caption="Brought to you by the letter 'g'") + 
  theme_ipsum_rc()

New FT Theme!

ggplot(mtcars, aes(mpg, wt)) +
  geom_point(color = ft_cols$yellow) +
  labs(x="Fuel efficiency (mpg)", y="Weight (tons)",
       title="Seminal ggplot2 scatterplot example",
       subtitle="A plot that is only useful for demonstration purposes",
       caption="Brought to you by the letter 'g'") + 
  theme_ft_rc()

IBM Plex Sans

ggplot(mpg, aes(displ, hwy)) +
  geom_jitter(aes(color=class, fill=class), size=3, shape=21, alpha=1/2) +
  scale_x_continuous(expand=c(0,0), limits=c(1, 8), breaks=1:8) +
  scale_y_continuous(expand=c(0,0), limits=c(10, 50)) +
  scale_color_ipsum() +
  scale_fill_ipsum() +
  facet_wrap(~class, scales="free") +
  labs(
    title="IBM Plex Sans Test",
    subtitle="This is a subtitle to see the how it looks in IBM Plex Sans",
    caption="Source: hrbrthemes & IBM"
  ) +
  theme_ipsum_ps(grid="XY", axis="xy") +
  theme(legend.position="none") -> gg

flush_ticks(gg)
## theme(axis.text.x=element_text(hjust=c(0, rep(0.5, 6), 1))) +
## theme(axis.text.y=element_text(vjust=c(0, rep(0.5, 3), 1)))

Scales (Color/Fill)

ggplot(mtcars, aes(mpg, wt)) +
  geom_point(aes(color=factor(carb))) +
  labs(x="Fuel efficiency (mpg)", y="Weight (tons)",
       title="Seminal ggplot2 scatterplot example",
       subtitle="A plot that is only useful for demonstration purposes",
       caption="Brought to you by the letter 'g'") + 
  scale_color_ipsum() +
  theme_ipsum_rc()

Scales (Axis)

count(mpg, class) %>% 
  mutate(pct=n/sum(n)) %>% 
  ggplot(aes(class, pct)) +
  geom_col() +
  scale_y_percent() +
  labs(x="Fuel efficiency (mpg)", y="Weight (tons)",
       title="Seminal ggplot2 column chart example with percents",
       subtitle="A plot that is only useful for demonstration purposes",
       caption="Brought to you by the letter 'g'") + 
  theme_ipsum(grid="Y")

ggplot(uspopage, aes(x=Year, y=Thousands, fill=AgeGroup)) + 
  geom_area() +
  scale_fill_ipsum() +
  scale_x_continuous(expand=c(0,0)) +
  scale_y_comma() +
  labs(title="Age distribution of population in the U.S., 1900-2002",
       subtitle="Example data from the R Graphics Cookbook",
       caption="Source: R Graphics Cookbook") +
  theme_ipsum_rc(grid="XY") +
  theme(axis.text.x=element_text(hjust=c(0, 0.5, 0.5, 0.5, 1))) +
  theme(legend.position="bottom")

update_geom_font_defaults(font_rc_light)

count(mpg, class) %>% 
  mutate(n=n*2000) %>% 
  arrange(n) %>% 
  mutate(class=factor(class, levels=class)) %>% 
  ggplot(aes(class, n)) +
  geom_col() +
  geom_text(aes(label=scales::comma(n)), hjust=0, nudge_y=2000) +
  scale_y_comma(limits=c(0,150000)) +
  coord_flip() +
  labs(x="Fuel efficiency (mpg)", y="Weight (tons)",
       title="Seminal ggplot2 column chart example with commas",
       subtitle="A plot that is only useful for demonstration purposes, esp since you'd never\nreally want direct labels and axis labels",
       caption="Brought to you by the letter 'g'") + 
  theme_ipsum_rc(grid="X")

Spellcheck ggplot2 labels

df <- data.frame(x=c(20, 25, 30), y=c(4, 4, 4), txt=c("One", "Two", "Three"))

ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  labs(x="This is some txt", y="This is more text",
       title="Thisy is a titlle",
       subtitle="This is a subtitley",
       caption="This is a captien") +
  theme_ipsum_rc(grid="XY") -> gg

gg_check(gg)
## Possible misspelled words in [title]: (Thisy, titlle)
## Possible misspelled words in [subtitle]: (subtitley)
## Possible misspelled words in [caption]: (captien)

hrbrthemes Metrics

{cloc} 📦 metrics for hrbrthemes

Code of Conduct

Please note that this project is released with a Contributor Code of Conduct. By participating in this project you agree to abide by its terms.