{ "_id": "6a1973fcacfb0bcc41defd8a", "Package": "ggpubr", "Type": "Package", "Title": "'ggplot2' Based Publication Ready Plots", "Version": "0.6.3.999", "Date": "2026-02-27", "Authors@R": "c(\nperson(\"Alboukadel\", \"Kassambara\", role = c(\"aut\", \"cre\"), email = \"alboukadel.kassambara@gmail.com\"),\nperson(\"Laszlo\", \"Erdey\", role = \"ctb\", email = \"erdey.laszlo@econ.unideb.hu\",\ncomment = \"Faculty of Economics and Business, University of Debrecen, Hungary\"))", "Author": "Alboukadel Kassambara [aut, cre], Laszlo Erdey [ctb] (Faculty\nof Economics and Business, University of Debrecen, Hungary)", "Maintainer": "Alboukadel Kassambara ", "Description": "The 'ggplot2' package is excellent and flexible for\nelegant data visualization in R. However the default generated\nplots requires some formatting before we can send them for\npublication. Furthermore, to customize a 'ggplot', the syntax\nis opaque and this raises the level of difficulty for\nresearchers with no advanced R programming skills. 'ggpubr'\nprovides some easy-to-use functions for creating and\ncustomizing 'ggplot2'-based publication ready plots. This\nversion includes modern R ecosystem compatibility updates and\ncustomizable p-value formatting presets (APA, AMA, NEJM,\nLancet, GraphPad) for publication workflows, plus robust\nsparse-subset handling in statistical annotation layers such as\n'stat_compare_means()' and 'geom_pwc()', with informative\nper-group skip diagnostics for non-comparable subsets.", "License": "GPL (>= 2)", "LazyData": "TRUE", "Encoding": "UTF-8", "URL": "https://rpkgs.datanovia.com/ggpubr/,\nhttps://github.com/kassambara/ggpubr", "BugReports": "https://github.com/kassambara/ggpubr/issues", "RoxygenNote": "7.3.3", "Collate": "'utilities_color.R' 'utilities_base.R' 'desc_statby.R'\n'utilities.R' 'add_summary.R' 'annotate_figure.R' 'as_ggplot.R'\n'as_npc.R' 'axis_scale.R' 'background_image.R' 'bgcolor.R'\n'border.R' 'p_format_utils.R' 'compare_means.R' 'create_aes.R'\n'diff_express.R' 'facet.R' 'font.R' 'gene_citation.R'\n'gene_expression.R' 'geom_bracket.R' 'geom_exec.R'\n'utils-aes.R' 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(NPC)", "topics": [ "as_npc", "as_npcx", "as_npcy" ] }, { "page": "axis_scale", "title": "Change Axis Scale: log2, log10 and more", "topics": [ "axis_scale", "xscale", "yscale" ] }, { "page": "background_image", "title": "Add Background Image to ggplot2", "topics": [ "background_image" ] }, { "page": "bgcolor", "title": "Change ggplot Panel Background Color", "topics": [ "bgcolor" ] }, { "page": "border", "title": "Set ggplot Panel Border Line", "topics": [ "border" ] }, { "page": "clean_lock_files", "title": "Clean up stale package lock files", "topics": [ "clean_lock_files" ] }, { "page": "compare_means", "title": "Comparison of Means", "topics": [ "compare_means" ] }, { "page": "create_aes", "title": "Create Aes Mapping from a List", "topics": [ "create_aes" ] }, { "page": "create_p_label", "title": "Create P-Value Label with Proper Prefix", "topics": [ "create_p_label" ] }, { "page": "desc_statby", "title": "Descriptive statistics by groups", "topics": [ "desc_statby" ] }, { "page": "diff_express", "title": "Differential gene expression analysis results", "topics": [ "diff_express" ] }, { "page": "facet", "title": "Facet a ggplot into Multiple Panels", "topics": [ "facet" ] }, { "page": "font", "title": "Change the Appearance of Titles and Axis Labels", "topics": [ "font" ] }, { "page": "format_p_value", "title": "Format P-Values According to Style or Custom Settings", "topics": [ "format_p_value" ] }, { "page": "gene_citation", "title": "Gene Citation Index", "topics": [ "gene_citation" ] }, { "page": "gene_expression", "title": "Gene Expression Data", "topics": [ "gene_expression" ] }, { "page": "geom_exec", "title": "Execute ggplot2 functions", "topics": [ "geom_exec" ] }, { "page": "get_breaks", "title": "Easy Break Creation for Numeric Axes", "topics": [ "get_breaks" ] }, { "page": "get_coord", "title": "Checks and Returns Data Coordinates from Multiple Input Options", "topics": [ "get_coord" ] }, { "page": "get_legend", "title": "Extract Legends from 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