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README.Rmd
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README.Rmd
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---
output: github_document
---
<!-- README.md is generated from README.Rmd. Please edit that file -->
```{r, echo = FALSE}
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>",
fig.path = "man/figures/README-"
)
```
[](https://github.com/jrnold/ggthemes/actions/workflows/R-CMD-check.yaml)
[](https://codecov.io/github/jrnold/ggthemes?branch=master)
[](https://github.com/metacran/cranlogs.app)
[](https://CRAN.R-project.org/package=ggthemes)
[](https://www.tidyverse.org/lifecycle/#stable)
Some extra geoms, scales, and themes for
[ggplot](https://ggplot2.tidyverse.org/).
## Install
To install the stable version from CRAN,
```r
install.packages('ggthemes', dependencies = TRUE)
```
Or, to install the development version from github, use the
**devtools** package,
```r
library("devtools")
install_github(c("hadley/ggplot2", "jrnold/ggthemes"))
```
## How to use
For a quick tutorial, check out [Rafael Irizarry's book](https://rafalab.github.io/dsbook/ggplot2.html#add-on-packages).
## Examples
```{r}
library("ggplot2")
library("ggthemes")
mtcars2 <- within(mtcars, {
vs <- factor(vs, labels = c("V-shaped", "Straight"))
am <- factor(am, labels = c("Automatic", "Manual"))
cyl <- factor(cyl)
gear <- factor(gear)
})
p1 <- ggplot(mtcars2) +
geom_point(aes(x = wt, y = mpg, colour = gear)) +
labs(
title = "Fuel economy declines as weight increases",
subtitle = "(1973-74)",
caption = "Data from the 1974 Motor Trend US magazine.",
x = "Weight (1000 lbs)",
y = "Fuel economy (mpg)",
colour = "Gears"
)
```
```{r,theme_calc}
p1 +
scale_color_calc() +
theme_calc()
```
```{r,theme_clean}
p1 + theme_clean()
```
```{r,theme_economist}
p1 + theme_economist() +
scale_colour_economist()
```
```{r,theme_excel}
p1 + theme_excel() +
scale_colour_excel()
```
```{r,theme_excel_new}
p1 + theme_excel_new() +
scale_colour_excel_new()
```
```{r,theme_igray}
p1 + theme_igray()
```
```{r,theme_par}
p1 + theme_par()
```
```{r,theme_fivethirtyeight}
p1 + theme_fivethirtyeight()
```
```{r,theme_few}
p1 + theme_few() +
scale_colour_few()
```
```{r,theme_solarized}
p1 + theme_solarized() +
scale_colour_solarized()
```
```{r,theme_solarized_dark}
p1 + theme_solarized(light=FALSE) +
scale_colour_solarized()
```
```{r,theme_solid}
p1 + theme_solid()
```
```{r,theme_stata}
p1 + theme_tufte()
```
```{r,theme_wsj}
p1 + theme_wsj(base_size = 8) + scale_color_wsj()
```
```{r,scale_colorblind}
p1 + scale_color_colorblind()
```
```{r,scale_color_tableau}
p1 + scale_color_tableau()
```