Revision a8bbdcc3b1c7b356cfa6c5407e8c10c8c450576d authored by Claus Wilke on 18 November 2017, 21:03:09 UTC, committed by Claus Wilke on 18 November 2017, 21:03:09 UTC
2 parent s 89bd7d9 + 29ad462
Raw File
README.Rmd
---
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-"
)
```

# ggridges

[![Build Status](https://travis-ci.org/clauswilke/ggridges.svg?branch=master)](https://travis-ci.org/clauswilke/ggridges)
[![Coverage Status](https://img.shields.io/codecov/c/github/clauswilke/ggridges/master.svg)](https://codecov.io/github/clauswilke/ggridges?branch=master)
[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/ggridges)](https://CRAN.R-project.org/package=ggridges)
[![CRAN_Downloads_Badge](http://cranlogs.r-pkg.org/badges/ggridges)](http://cranlogs.r-pkg.org/downloads/total/last-month/ggridges)


Geoms to make ridgeline plots using ggplot2, written by Claus O. Wilke

This package has now been officially relased on CRAN. Most things should work as expected, and the API should now be relatively stable. For feedback and feature requests, please open issues on github.

## About ridgeline plots

Ridgeline plots are partially overlapping line plots that create the impression of a mountain range. They can be quite useful for visualizing changes in distributions over time or space. These types of plots have also been called ["joyplots"](
https://twitter.com/JennyBryan/status/856674638981550080), in reference to the [iconic cover art](https://blogs.scientificamerican.com/sa-visual/pop-culture-pulsar-origin-story-of-joy-division-s-unknown-pleasures-album-cover-video/) for Joy Division's album _Unknown Pleasures_. However, given the [unfortunate origin](https://en.wikipedia.org/wiki/House_of_Dolls) of the name Joy Division, the term "joyplot" is now discouraged.

## Installation

Stable release:

```{r eval = FALSE}
install.packages("ggridges")
```

Latest development version:

```{r eval = FALSE}
library(devtools)
install_github("clauswilke/ggridges")
```

## Usage

```{r diamonds}
library(ggplot2)
library(ggridges)
    
ggplot(diamonds, aes(x = price, y = cut)) +
  geom_density_ridges(scale = 4) + theme_ridges() +
  scale_y_discrete(expand = c(0.01, 0)) +   # will generally have to set the `expand` option
  scale_x_continuous(expand = c(0, 0))      # for both axes to remove unneeded padding
```

## Documentation and Examples

First read the [package vignette.](https://cran.r-project.org/web/packages/ggridges/vignettes/introduction.html) Then read the [reference manual.](https://cran.r-project.org/web/packages/ggridges/ggridges.pdf)
back to top