Opinionated, typographic-centric ggplot2 themes and theme components
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## hrbrthemes
Additional Themes and Theme Components for ‘ggplot2’
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-----
This is a very focused package that provides typography-centric themes
and theme components for ggplot2. It’s a an extract/riff of
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[`hrbrmisc`](https://github.com/hrbrmstr/hrbrmisc) created by request.
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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”.
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The following functions are implemented/objects are exported:
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Themes:
- `theme_ipsum`: Arial Narrow
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- `theme_ipsum_gs`: Goldman Sans Condensed
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- `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)
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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
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& 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
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& 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
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- `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
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- `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
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- `font_tw`: Titillium Web font name R variable aliases
- `font_tw_bold`: Titillium Web font name R variable aliases
- `font_tw_light`: Titillium Web font name R variable aliases
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R Markdown:
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- `ipsum`: ipsum R markdown template
- `ipsum_pdf`: ipsum R markdown template for PDF output
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Utilities:
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- `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
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- `import_econ_sans`: Import Econ Sans Condensed font for use in
charts
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- `import_plex_sans`: Import IBM Plex Sans font for use in charts
- `import_roboto_condensed`: Import Roboto Condensed font for use in
charts
- `import_titillium_web`: Import Titillium Web 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
``` r
install.packages("hrbrthemes") # NOTE: CRAN version is 0.8.0
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# or
install.packages("hrbrthemes", repos = c("https://cinc.rud.is", "https://cloud.r-project.org/"))
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# or
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remotes::install_git("https://git.rud.is/hrbrmstr/hrbrthemes.git")
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# or
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remotes::install_git("https://git.sr.ht/~hrbrmstr/hrbrthemes")
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# or
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remotes::install_gitlab("hrbrmstr/hrbrthemes")
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# or
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remotes::install_bitbucket("hrbrmstr/hrbrthemes")
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# or
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remotes::install_github("hrbrmstr/hrbrthemes")
```
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NOTE: To use the ‘remotes’ install options you will need to have the
[{remotes} package](https://github.com/r-lib/remotes) installed.
### Usage
``` r
library(hrbrthemes)
library(gcookbook)
library(tidyverse)
# current verison
packageVersion("hrbrthemes")
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## [1] '0.8.6'
```
### Base theme (Arial Narrow)
``` r
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()
```
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<img src="man/figures/README-an-1.png" width="672" />
### Roboto Condensed
``` r
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()
```
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<img src="man/figures/README-rc-1.png" width="672" />
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### New FT Theme\!
``` r
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()
```
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<img src="man/figures/README-ft-1.png" width="672" />
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### IBM Plex Sans
``` r
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") +
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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)))
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```
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<img src="man/figures/README-ps-1.png" width="960" />
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### Titillium Web
``` r
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="Titillium Web",
subtitle="This is a subtitle to see the how it looks in Titillium Web",
caption="Source: hrbrthemes & Google"
) +
theme_ipsum_tw(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)))
```
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<img src="man/figures/README-tw-1.png" width="960" />
### Scales (Color/Fill)
``` r
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()
```
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<img src="man/figures/README-sc-1.png" width="672" />
### Scales (Axis)
``` r
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")
```
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<img src="man/figures/README-ax1-1.png" width="672" />
``` r
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")
```
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<img src="man/figures/README-ax2-1.png" width="672" />
``` r
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")
```
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<img src="man/figures/README-ax3-1.png" width="672" />
### Spellcheck ggplot2 labels
``` r
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
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gg_check(gg)
## Possible misspelled words in [title]: (Thisy, titlle)
## Possible misspelled words in [subtitle]: (subtitley)
## Possible misspelled words in [caption]: (captien)
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```
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<img src="man/figures/README-sp-1.png" width="672" />
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### hrbrthemes Metrics
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| Lang | \# Files | (%) | LoC | (%) | Blank lines | (%) | \# Lines | (%) |
| :--- | -------: | ---: | ---: | ---: | ----------: | ---: | -------: | ---: |
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| R | 24 | 0.89 | 1724 | 0.80 | 327 | 0.72 | 908 | 0.84 |
| HTML | 1 | 0.04 | 297 | 0.14 | 32 | 0.07 | 2 | 0.00 |
| Rmd | 2 | 0.07 | 129 | 0.06 | 98 | 0.21 | 168 | 0.16 |
### Code of Conduct
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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.