{"Package":"ggVennDiagram","Type":"Package","Title":"A 'ggplot2' Implement of Venn Diagram","Version":"0.3","Authors@R":"c(\nperson(\"Chun-Hui\",\"Gao\",email=\"gaospecial@gmail.com\",role=c(\"aut\",\"cre\"), comment=c(ORCID = \"0000-0002-1445-7939\")),\nperson(\"Guangchuang\", \"Yu\", email = \"guangchuangyu@gmail.com\", role = c(\"ctb\"), comment = c(ORCID = \"0000-0002-6485-8781\"))\n)","Maintainer":"Chun-Hui Gao ","Description":"Easy-to-use functions to generate 2-4 sets Venn plot in publication quality.\n'ggVennDiagram' is the first software that can automatically fill different colors to each part of a Venn diagram.","Depends":"R (>= 3.5.0)","Imports":"VennDiagram, sf, ggplot2, dplyr","URL":"https://github.com/gaospecial/ggVennDiagram","License":"GPL-3","Encoding":"UTF-8","LazyData":"true","RoxygenNote":"6.1.1","Suggests":"testthat (>= 2.1.0)","NeedsCompilation":"no","Packaged":"2019-10-07 01:34:38 UTC; gaosp","Author":"Chun-Hui Gao [aut, cre] (),\nGuangchuang Yu [ctb] ()","Repository":"CRAN","Date/Publication":"2019-10-09 11:40:02 UTC","repoType":"cran","tarballUrl":"ftp://cran.r-project.org/pub/R/src/contrib/ggVennDiagram_0.3.tar.gz","jsonAuthors":[{"name":"Chun-Hui Gao","email":"gaospecial@gmail.com","maintainer":true},{"name":"Guangchuang Yu","email":"guangchuangyu@gmail.com","maintainer":false}],"readme":"\n\n\n# ggVennDiagram\n\n\n\n\n\n‘`ggVennDiagram`’ enables fancy venn plot with 2-4 sets and generates\npublication quality figure. It is the first software that can\nautomatically fill different colors to each part of a venn diagram.\n\n## Installation\n\nYou can install the released version of ggVennDiagram from\n[CRAN](https://CRAN.R-project.org) with (under evaluation in CRAN):\n\n``` r\ninstall.packages(\"ggVennDiagram\")\n```\n\nAnd the development version from [GitHub](https://github.com/) with:\n\n``` r\n# install.packages(\"devtools\")\ndevtools::install_github(\"gaospecial/ggVennDiagram\")\n```\n\n## Example\n\n`ggVennDiagram` maps the fill color of each region to quantity, allowing\nus to visually observe the differences between different parts.\n\n``` r\nlibrary(ggVennDiagram)\ngenes <- paste(\"gene\",1:1000,sep=\"\")\nset.seed(20190708)\nx <- list(A=sample(genes,300),B=sample(genes,525),C=sample(genes,440),D=sample(genes,350))\n\n# four dimension venn plot\nggVennDiagram(x)\n```\n\n

\n\n``` r\n\n# three dimension venn plot\nggVennDiagram(x[1:3])\n```\n\n

\n\n``` r\n\n# two dimension venn plot\nggVennDiagram(x[1:2])\n```\n\n

\n\n`ggVennDiagram` return a ggplot object, which can be further modified\nwith `ggplot` functions.\n\n``` r\nlibrary(ggplot2)\nggVennDiagram(x) + scale_fill_gradient(low=\"blue\",high = \"red\")\n#> Scale for 'fill' is already present. Adding another scale for 'fill',\n#> which will replace the existing scale.\n```\n\n

\n\n``` r\n\nggVennDiagram(x,lty=\"dashed\",color=\"black\",size=2) + scale_fill_gradient(low=\"white\",high = \"red\")\n#> Scale for 'fill' is already present. Adding another scale for 'fill',\n#> which will replace the existing scale.\n```\n\n

\n\n`ggVennDiagram` now support 2-4 dimension venn plot. The generated\nfigure is generally ready for publish. The main function\n`ggVennDiagram()` will check how many items in the first paramenter and\ncall corresponding function automatically.\n\nThe parameter `category.names` reprents set names. And the parameter\n`label` can label how many items are included in each parts.\n\n``` r\nggVennDiagram(x,category.names = c(\"Stage 1\",\"Stage 2\",\"Stage 3\", \"Stage4\"))\n```\n\n

\n\n``` r\n\nggVennDiagram(x,category.names = c(\"Stage 1\",\"Stage 2\",\"Stage 3\", \"Stage4\"), label = NULL)\n```\n\n

","jobInfo":{"package":"ggVennDiagram","version":"0.3","parsingStatus":"success","parserVersion":1,"parsedAt":"2021-02-28T07:30:20+0000"}}

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