{"Package":"ColorNameR","Type":"Package","Title":"Give Colors a Name","Version":"0.1.0","Authors@R":"\nperson(given=\"Marco\", family=\"Snchez Beeckman\", role=c(\"aut\", \"cre\"), email=\"msanchezb3@gmail.com\")","Description":"A tool for transforming coordinates in a color space to common\ncolor names using data from the Royal Horticultural Society and the\nInternational Union for the Protection of New Varieties of Plants.","License":"MIT + file LICENSE","URL":"https://github.com/msanchez-beeckman/ColorNameR","Encoding":"UTF-8","LazyData":"true","Depends":"R (>= 2.10)","Imports":"magrittr, dplyr, rlang, purrr, grDevices","RoxygenNote":"7.1.1","Suggests":"tibble, testthat (>= 3.0.0), ggplot2, RColorBrewer","Config/testthat/edition":"3","NeedsCompilation":"no","Packaged":"2021-07-07 14:38:19 UTC; marco","Author":"Marco Snchez Beeckman [aut, cre]","Maintainer":"Marco Snchez Beeckman ","Repository":"CRAN","Date/Publication":"2021-07-08 07:40:05 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/ColorNameR_0.1.0.tar.gz","jsonAuthors":[{"name":"Marco Snchez Beeckman","email":"msanchezb3@gmail.com","maintainer":true}],"readme":"\n\n\n# ColorNameR\n\n\n\n[![R-CMD-check](https://github.com/msanchez-beeckman/ColorNameR/workflows/R-CMD-check/badge.svg)](https://github.com/msanchez-beeckman/ColorNameR/actions)\n\n\nWhile coordinates in a space such as RGB or CIELab are useful to\nrepresent colors, a descriptive name is sometimes more appropriate to\ndistinguish them in a qualitative way. For instance, it is commonplace\nto discriminate the colors of plants, flowers, and fruits using color\ncharts provided by institutions like the Royal Horticultural Society\n(RHS), which provide a finite number of categories to where colors can\nbe fit. Although these categories do not have a meaningful name, the\nUnion for the Protection of New Varieties of Plants (UPOV) presents a\nglossary where each of them are translated to a more natural name.\n\nColorNameR is a small library designed to give names to colors, which is\naccomplished by looking up their closest equivalent category in the RHS\nand then translating its code to natural language with the UPOV\nglossary. It provides the following:\n\n - `?name`, a function that returns the name of a color given its\n coordinates in a color space.\n\n - `?colordiff`, an implementation of the CIE76, CIE94, and CIEDE2000\n color distances, used to find the closest color to some reference\n CIELab coordinates.\n\n - `?rhs_color_values_2007`, a data set that contains approximate color\n coordinates for the categories defined by the RHS color chart in its\n fifth edition (2007).\n\n - `?rhs_color_names_2015`, a data set that contains names given by the\n UPOV for each RHS category in the chart’s sixth edition (2015).\n\n## Installation\n\nYou can install the development version of ColorNameR from\n[GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"msanchez-beeckman/ColorNameR\")\n```\n\n## Example\n\n``` r\nlibrary(ColorNameR)\nlibrary(tibble)\nlibrary(ggplot2)\nlibrary(RColorBrewer)\n\npalette_colors <- brewer.pal(12, \"Paired\")\nnames(palette_colors) <- palette_colors\n\ntibble(color=palette_colors, value=1L) %>%\n dplyr::mutate(name=name(t(col2rgb(.data[[\"color\"]])) / 255, colorspace=\"sRGB\")) %>%\n ggplot(aes(x=color, y=value)) +\n geom_col(aes(fill=color)) +\n geom_label(aes(label=name), position=position_stack(vjust = 0.5)) +\n scale_fill_manual(values=palette_colors) +\n scale_y_continuous(limits = c(0, 1), expand = c(0, 0)) +\n coord_flip() +\n theme(legend.position=\"none\",\n axis.title=element_blank(), axis.ticks=element_blank(),\n axis.text.x=element_blank(), panel.background=element_blank())\n```\n\n

","jobInfo":{"package":"ColorNameR","version":"0.1.0","parsingStatus":"success","parserVersion":1,"parsedAt":"2021-07-08T10:29:48+0000"}}

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