In eliocamp/ggperiodic: Easy Plotting of Periodic Data with 'ggplot2'

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "man/figures/README-",
  out.width = "70%",
  cache = FALSE
)

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

install.packages("ggperiodic")

Or you can install the development version from GitHub with:

# install.packages("devtools")
devtools::install_github("eliocamp/ggperiodic")

Example

Let's create some artificial data with periodic domain

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

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.

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

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

eliocamp/ggperiodic documentation built on Nov. 5, 2023, 12:58 p.m.