https://github.com/eliocamp/ggperiodic

Easy plotting of periodic data with ggplot2
https://github.com/eliocamp/ggperiodic

ggplot2 r r-package rstats

Last synced: 10 days ago
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Easy plotting of periodic data with ggplot2

• Host: GitHub
• URL: https://github.com/eliocamp/ggperiodic
• Owner: eliocamp
• Created: 2018-08-23T03:12:08.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2023-10-30T18:16:04.000Z (over 1 year ago)
• Last Synced: 2025-01-31T06:51:14.076Z (20 days ago)
• Topics: ggplot2, r, r-package, rstats
• Language: R
• Homepage:
• Size: 4.65 MB
• Stars: 21
• Watchers: 4
• Forks: 1
• Open Issues: 0
• Metadata Files:
  • Readme: README.Rmd

Awesome Lists containing this project

README

        
---

output: github_document

---

```{r setup, include = FALSE}

knitr::opts_chunk$set(

  collapse = TRUE,

  comment = "#>",

  fig.path = "man/figures/README-",

  out.width = "70%",

  cache = FALSE

)

```

# ggperiodic 

[![Travis build status](https://travis-ci.org/eliocamp/ggperiodic.svg?branch=master)](https://travis-ci.org/eliocamp/ggperiodic)

[![Coverage status](https://codecov.io/gh/eliocamp/ggperiodic/branch/master/graph/badge.svg)](https://codecov.io/github/eliocamp/ggperiodic?branch=master)

[![CRAN_Status_Badge](http://www.r-pkg.org/badges/version/ggperiodic)](https://cran.r-project.org/package=ggperiodic)

ggperiodic is an attempt to solve the issue of plotting periodic data in ggplot2. It automatically augments your data to wrap it around to any arbitrary domain. 

## Installation

You can install the latest version from CRAN with

``` r

install.packages("ggperiodic")

```

Or you can install the development version from [GitHub](https://github.com/) with:

``` r

# install.packages("devtools")

devtools::install_github("eliocamp/ggperiodic")

```

## Example

Let's create some artificial data with periodic domain

```{r}

x <- seq(0, 360 - 10, by = 10)*pi/180

y <- seq(-90, 90, by = 10)*pi/180

Z <- expand.grid(x = x, y = y)

Z$z <- with(Z, 1.2*sin(x)*0.4*sin(y*2) - 

               0.5*cos(2*x)*0.5*sin(3*y) + 

               0.2*sin(4*x)*0.45*cos(2*x))

Z$x <- Z$x*180/pi

Z$y <- Z$y*180/pi

```

If you try to plot it, you'll notice problems at the limits

```{r}

library(ggplot2)

ggplot(Z, aes(x, y, z = z, color = ..level..)) +

  geom_contour() +

  coord_polar()

```

With ggperiodic you can define the periodic dimensions and ggplot2 does the rest. 

```{r}

library(ggperiodic)

Z <- periodic(Z, x = c(0, 360))

ggplot(Z, aes(x, y, color = ..level..)) +

  geom_contour(aes(z = z)) +

  coord_polar()

```