Easy Plotting of Periodic Data with 'ggplot2'

Implements methods to plot periodic data in any arbitrary range on the fly.


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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 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)
#> 
#> Attaching package: 'ggperiodic'
#> The following object is masked from 'package:stats':
#> 
#>     filter
Z <- periodic(Z, x = c(0, 360))
 
ggplot(Z, aes(x, y, color = ..level..)) +
  geom_contour(aes(z = z)) +
  coord_polar()

News

ggperiodic 0.1.0

  • Implemented dplyr methods.
  • Published on github
  • Added a NEWS.md file to track changes to the package.

Reference manual

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install.packages("ggperiodic")

1.0.0 by Elio Campitelli, 6 months ago


https://github.com/eliocamp/ggperiodic


Report a bug at https://github.com/eliocamp/ggperiodic/issues


Browse source code at https://github.com/cran/ggperiodic


Authors: Elio Campitelli [cre, aut]


Documentation:   PDF Manual  


GPL-3 license


Imports dplyr, ggplot2, sticky, tidyselect, data.table

Suggests covr, knitr, maps, rmarkdown, testthat, vdiffr


See at CRAN