{"Package":"ggperiodic","Title":"Easy Plotting of Periodic Data with 'ggplot2'","Version":"1.0.0","Date":"2019-03-12","Authors@R":"person(\"Elio\", \"Campitelli\", email = \"elio.campitelli@cima.fcen.uba.ar\",\nrole = c(\"cre\", \"aut\"), comment = c(ORCID = \"https://orcid.org/0000-0002-7742-9230\"))","Description":"Implements methods to plot periodic data in any arbitrary range on the fly.","License":"GPL-3","URL":"https://github.com/eliocamp/ggperiodic","BugReports":"https://github.com/eliocamp/ggperiodic/issues","Imports":"dplyr, ggplot2, sticky, tidyselect, data.table","Suggests":"covr, knitr, maps, rmarkdown, testthat, vdiffr","VignetteBuilder":"knitr","ByteCompile":"true","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"6.1.1","NeedsCompilation":"no","Packaged":"2019-03-12 19:16:31 UTC; elio","Author":"Elio Campitelli [cre, aut] ()","Maintainer":"Elio Campitelli ","Repository":"CRAN","Date/Publication":"2019-03-12 20:02:50 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/ggperiodic_1.0.0.tar.gz","jsonAuthors":[{"name":"Elio Campitelli","email":"elio.campitelli@cima.fcen.uba.ar","maintainer":true}],"readme":"\n\n\n# ggperiodic

\n\n[![Travis build\nstatus](https://travis-ci.org/eliocamp/ggperiodic.svg?branch=master)](https://travis-ci.org/eliocamp/ggperiodic)\n[![Coverage\nstatus](https://codecov.io/gh/eliocamp/ggperiodic/branch/master/graph/badge.svg)](https://codecov.io/github/eliocamp/ggperiodic?branch=master)\n[![CRAN\\_Status\\_Badge](http://www.r-pkg.org/badges/version/ggperiodic)](https://cran.r-project.org/package=ggperiodic)\n\nggperiodic is an attempt to solve the issue of plotting periodic data in\nggplot2. It automatically augments your data to wrap it around to any\narbitrary domain.\n\n## Installation\n\nYou can install the latest version from CRAN with\n\n``` r\ninstall.packages(\"ggperiodic\")\n```\n\nOr you can install the development version from\n[GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"eliocamp/ggperiodic\")\n```\n\n## Example\n\nLet’s create some artificial data with periodic domain\n\n``` r\nx <- seq(0, 360 - 10, by = 10)*pi/180\ny <- seq(-90, 90, by = 10)*pi/180\n\nZ <- expand.grid(x = x, y = y)\nZ$z <- with(Z, 1.2*sin(x)*0.4*sin(y*2) - \n 0.5*cos(2*x)*0.5*sin(3*y) + \n 0.2*sin(4*x)*0.45*cos(2*x))\n\nZ$x <- Z$x*180/pi\nZ$y <- Z$y*180/pi\n```\n\nIf you try to plot it, you’ll notice problems at the limits\n\n``` r\nlibrary(ggplot2)\nggplot(Z, aes(x, y, z = z, color = ..level..)) +\n geom_contour() +\n coord_polar()\n```\n\n

\n\nWith ggperiodic you can define the periodic dimensions and ggplot2 does\nthe rest.\n\n``` r\nlibrary(ggperiodic)\n#> \n#> Attaching package: 'ggperiodic'\n#> The following object is masked from 'package:stats':\n#> \n#> filter\nZ <- periodic(Z, x = c(0, 360))\n\nggplot(Z, aes(x, y, color = ..level..)) +\n geom_contour(aes(z = z)) +\n coord_polar()\n```\n\n

","jobInfo":{"package":"ggperiodic","version":"1.0.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2020-12-08T22:29:57+0000"}}

Description

Usage

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