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:lock_with_ink_pen: Opinionated, typographic-centric ggplot2 themes and theme components

Home Page: https://hrbrmstr.github.io/hrbrthemes/

License: Other

R 100.00%

hrbrthemes's Introduction

hrbrthemes : Additional Themes and Theme Components for 'ggplot2'

Project Status: Active - The project has reached a stable, usable state and is being actively developed. codecov Travis-CI Build Status CRAN_Status_Badge downloads keybase verified


This is a very focused package that provides typography-centric themes and theme components for ggplot2. It's a an extract/riff of hrbrmisc created by request.

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:

  • theme_ipsum : Arial Narrow-based theme
  • theme_ipsum_rc : Roboto Condensed-based theme
  • gg_check: Spell check ggplot2 plot labels
  • update_geom_font_defaults: Update matching font defaults for text geoms (the default is โ€” unsurprisingly โ€” Arial Narrow)
  • scale_x_comma / scale_y_comma : Comma format for axis text and expand=c(0,0) (you need to set limits)
  • scale_x_percent / scale_y_percent : Percent format for axis text and expand=c(0,0) (you need to set limits)
  • scale_color_ipsum / scale_fill_ipsum / ipsum_pal : A muted discrete color palette with 9 colors
  • font_an: a short global alias for "Arial Narrow"
  • font_rc: a short global alias for "Roboto Condensed"
  • font_rc_light: a short global alias for "Roboto Condensed Light"

Installation

devtools::install_github("hrbrmstr/hrbrthemes")

Usage

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

# current verison
packageVersion("hrbrthemes")
## [1] '0.1.0'

Base theme (Arial Narrow)

ggplot(mtcars, aes(mpg, wt)) +
  geom_point() +
  labs(x="Fuel effiiency (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 effiiency (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()

Scales (Color/Fill)

ggplot(mtcars, aes(mpg, wt)) +
  geom_point(aes(color=factor(carb))) +
  labs(x="Fuel effiiency (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 effiiency (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 effiiency (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)

Test Results

library(hrbrthemes)
library(testthat)

date()
## [1] "Mon Feb 27 07:03:41 2017"

test_dir("tests/")
## testthat results ========================================================================================================
## OK: 10 SKIPPED: 0 FAILED: 0
## 
## DONE ===================================================================================================================

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.

hrbrthemes's People

Contributors

hrbrmstr avatar benmarwick avatar bhaskarvk avatar karldw avatar

Watchers

James Cloos avatar  avatar

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