{"Package":"colorhex","Type":"Package","Title":"Colors and Palettes from Color-Hex","Version":"0.1.4","Authors@R":"c(\nperson(\"Athanasia Mo\", \"Mowinckel\",\nemail = \"a.m.mowinckel@psykologi.uio.no\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-5756-0223\")),\nperson(\"Julia\", \"Romanowska\",\nemail = \"Julia.Romanowska@uib.no\",\nrole = \"ctb\",\ncomment = c(ORCID = \"0000-0001-6733-1953\"))\n)","Description":"The website is a great resource of hex colour\ncodes and palettes. This package allows you to retrieve palettes\nand colour information from the website directly from R. There are\nalso custom scale-functions for 'ggplot2'.","License":"MIT + file LICENSE","Encoding":"UTF-8","Imports":"cli, curl, ggplot2, graphics, grDevices, httr2, rvest","RoxygenNote":"7.2.3","URL":"https://github.com/drmowinckels/colorhex","BugReports":"https://github.com/drmowinckels/colorhex/issues","Suggests":"spelling, scales","Language":"en-US","NeedsCompilation":"no","Packaged":"2023-09-11 07:07:04 UTC; athanasm","Author":"Athanasia Mo Mowinckel [aut, cre]\n(),\nJulia Romanowska [ctb] ()","Maintainer":"Athanasia Mo Mowinckel ","Repository":"CRAN","Date/Publication":"2023-09-11 07:40:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/colorhex_0.1.4.tar.gz","jsonAuthors":[{"name":"Athanasia Mo Mowinckel","email":"a.m.mowinckel@psykologi.uio.no","maintainer":true},{"name":"Julia Romanowska","email":"Julia.Romanowska@uib.no","maintainer":false}],"readme":"\n\n\n# colorhex\n\n\n\n[![CRAN\nstatus](https://www.r-pkg.org/badges/version/colorhex)](https://CRAN.R-project.org/package=colorhex)\n[![R-CMD-check](https://github.com/drmowinckels/colorhex/actions/workflows/R-CMD-check.yaml/badge.svg)](https://github.com/drmowinckels/colorhex/actions/workflows/R-CMD-check.yaml)\n\n\nThe goal of colorhex is to create an interface to\n[color-hex.com](https://www.color-hex.com/), a website with hexidecimal\ncolors and information about them.\n\nIt also has lots of user-made palettes that can be used and browsed.\n\n## Installation\n\n\n\n\n\n\nYou can install the development version from\n[GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"remotes\")\nremotes::install_github(\"drmowinckels/colorhex\", ref = \"main\")\n```\n\n## Example\n\n### Single colors\n\n``` r\nlibrary(colorhex)\n\nx <- get_color(\"#470f0f\")\nx\n#> # Color-hex: #470f0f\n#> RGB: 71, 15, 15\n#> HSL: 0.00, 0.65, 0.17\n#> CMYK: 0.00, 0.79, 0.79 0.72\n#> triadic: #0f470f, #0f0f47\n#> complementary: #0f4747\n#> used in 2 palettes\nplot(x)\n```\n\n

\n\n``` r\nx <- get_popular_colors()\nx\n#> [1] \"#ff80ed\" \"#065535\" \"#000000\" \"#133337\" \"#ffc0cb\" \"#ffffff\" \"#ffe4e1\"\n#> [8] \"#008080\" \"#ff0000\" \"#e6e6fa\" \"#ffd700\" \"#00ffff\" \"#ffa500\" \"#0000ff\"\n#> [15] \"#ff7373\" \"#c6e2ff\" \"#40e0d0\" \"#b0e0e6\" \"#d3ffce\" \"#f0f8ff\" \"#666666\"\n#> [22] \"#faebd7\" \"#bada55\" \"#fa8072\" \"#003366\" \"#ffb6c1\" \"#c0c0c0\" \"#ffff00\"\n#> [29] \"#800000\" \"#800080\" \"#c39797\" \"#00ff00\" \"#7fffd4\" \"#fff68f\" \"#eeeeee\"\n#> [36] \"#cccccc\" \"#f08080\" \"#20b2aa\" \"#ffc3a0\" \"#333333\" \"#66cdaa\" \"#c0d6e4\"\n#> [43] \"#ff6666\" \"#ff00ff\" \"#cbbeb5\" \"#ffdab9\" \"#468499\" \"#ff7f50\" \"#afeeee\"\n#> [50] \"#b4eeb4\" \"#00ced1\" \"#008000\" \"#660066\" \"#f6546a\" \"#0e2f44\" \"#b6fcd5\"\n#> [57] \"#990000\" \"#696969\" \"#f5f5f5\" \"#daa520\" \"#000080\" \"#6897bb\" \"#808080\"\n#> [64] \"#f5f5dc\" \"#088da5\" \"#8b0000\" \"#8a2be2\" \"#81d8d0\" \"#ccff00\" \"#ffff66\"\n#> [71] \"#ff4040\" \"#dddddd\" \"#2acaea\" \"#101010\" \"#0a75ad\" \"#ff1493\" \"#420420\"\n#> [78] \"#66cccc\" \"#a0db8e\" \"#999999\" \"#794044\" \"#3399ff\" \"#cc0000\" \"#00ff7f\"\nscales::show_col(x)\n```\n\n

\n\n### Palettes\n\n``` r\nlatest <- get_latest_palettes()\nplot(latest)\n```\n\n

\n\n``` r\npopular <- get_popular_palettes()\nplot(popular)\n```\n\n

\n\n### ggplot2 scales\n\n``` r\nlibrary(ggplot2)\n\nggplot(mtcars, aes(mpg)) +\n geom_density(aes(fill = disp, group = disp)) +\n scale_fill_palettehex_c(popular)\n```\n\n

\n\n``` r\n\nggplot(mtcars, aes(mpg)) +\n geom_density(aes(fill = disp, group = disp)) +\n scale_fill_palettehex_c(popular, 3)\n```\n\n

\n\n``` r\n\nggplot(mtcars, aes(mpg, disp, colour = factor(cyl))) +\n geom_point() +\n scale_color_palettehex_d(popular)\n```\n\n

\n\n``` r\n\nggplot(mtcars, aes(mpg, disp, colour = factor(cyl))) +\n geom_point() +\n scale_color_palettehex_d(popular, 1872)\n```\n\n

\n\n``` r\nx <- get_color(\"#008080\")\n\nggplot(mtcars, aes(mpg)) +\n geom_density(aes(fill = disp, group = disp)) +\n scale_fill_colorhex_c(x)\n```\n\n

\n\n``` r\n\nggplot(mtcars, aes(mpg)) +\n geom_density(aes(fill = disp, group = disp)) +\n scale_fill_colorhex_c(x, \"tints\")\n```\n\n

\n\n``` r\n\nggplot(mtcars, aes(mpg)) +\n geom_density(aes(fill = disp, group = disp)) +\n scale_fill_colorhex_c(x, \"shades\")\n```\n\n

\n\n``` r\n\nggplot(mtcars, aes(mpg, disp, colour = factor(cyl))) +\n geom_point() +\n scale_color_colorhex_d(x, \"triadic\")\n```\n\n

\n\n``` r\n\nggplot(mtcars, aes(mpg, disp, colour = factor(cyl))) +\n geom_point() +\n scale_color_colorhex_d(x, \"shades\")\n```\n\n

","jobInfo":{"package":"colorhex","version":"0.1.4","parsingStatus":"success","parserVersion":2,"parsedAt":"2023-09-11T10:30:30+0000"}}

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