{
  "_id": "6a629cf5d3420cf5dfdb412b",
  "Package": "ggpubr",
  "Type": "Package",
  "Title": "'ggplot2' Based Publication Ready Plots",
  "Version": "1.0.0.9000",
  "Date": "2026-07-06",
  "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 <alboukadel.kassambara@gmail.com>",
  "Description": "The 'ggplot2' package is excellent and flexible for\nelegant data visualization in R. However the default generated\nplots require 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',\n'Lancet', 'GraphPad', and scientific notation) for publication\nworkflows, plus robust sparse-subset handling in statistical\nannotation layers such as 'stat_compare_means()' and\n'geom_pwc()', with informative per-group skip diagnostics for\nnon-comparable subsets.",
  "License": "GPL (>= 2)",
  "LazyData": "TRUE",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "VignetteBuilder": "knitr",
  "Remotes": [
    "kassambara/rstatix@release/1.1.0"
  ],
  "URL": "https://rpkgs.datanovia.com/ggpubr/,\nhttps://github.com/kassambara/ggpubr",
  "BugReports": "https://github.com/kassambara/ggpubr/issues",
  "RoxygenNote": "7.3.3",
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  "Repository": "https://kassambara.r-universe.dev",
  "Date/Publication": "2026-07-13 21:47:23 UTC",
  "RemoteUrl": "https://github.com/kassambara/ggpubr",
  "RemoteRef": "HEAD",
  "RemoteSha": "2dccc550261b72166abd5a3767ad3fd1dd2198dd",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-07-23 22:51:38 UTC",
    "User": "root"
  },
  "_user": "kassambara",
  "_type": "src",
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  "_expires": "2026-10-31T23:00:02.000Z",
  "_created": "2026-07-23T22:51:38.000Z",
  "_published": "2026-07-23T23:00:05.631Z",
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      "version": "0.3.0",
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      "version": "0.4.0",
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  "_exports": [
    "%>%",
    "add_cld",
    "add_summary",
    "add_test_label",
    "add_xy_position",
    "annotate_figure",
    "as_ggplot",
    "as_npc",
    "as_npcx",
    "as_npcy",
    "background_image",
    "bgcolor",
    "border",
    "change_palette",
    "clean_lock_files",
    "clean_table_theme",
    "clean_theme",
    "colnames_style",
    "color_palette",
    "compare_means",
    "create_aes",
    "create_p_label",
    "create_test_label",
    "desc_statby",
    "facet",
    "fill_palette",
    "font",
    "format_p_value",
    "geom_bracket",
    "geom_exec",
    "geom_pwc",
    "geom_signif",
    "geom_violin_half",
    "GeomViolinHalf",
    "get_breaks",
    "get_coord",
    "get_legend",
    "get_p_format_style",
    "get_palette",
    "get_pwc_label",
    "get_summary_stats",
    "get_test_label",
    "ggadd",
    "ggadjust_pvalue",
    "ggarrange",
    "ggballoonplot",
    "ggbarplot",
    "ggboxplot",
    "ggcompare",
    "ggdensity",
    "ggdonutchart",
    "ggdotchart",
    "ggdotplot",
    "ggecdf",
    "ggerrorplot",
    "ggestimates",
    "ggexport",
    "gghistogram",
    "ggline",
    "ggmaplot",
    "ggpaired",
    "ggpar",
    "ggparagraph",
    "ggpie",
    "ggpubr_options",
    "ggqqplot",
    "ggraincloud",
    "ggrocplot",
    "ggscatter",
    "ggscatterhist",
    "ggstripchart",
    "ggsummarystats",
    "ggsummarytable",
    "ggtext",
    "ggtexttable",
    "ggviolin",
    "ggvolcano",
    "gradient_color",
    "gradient_fill",
    "grids",
    "group_by",
    "labs_pubr",
    "list_p_format_styles",
    "mean_ci",
    "mean_range",
    "mean_sd",
    "mean_se_",
    "median_hilow_",
    "median_iqr",
    "median_mad",
    "median_q1q3",
    "median_range",
    "mutate",
    "npc_to_data_coord",
    "rotate",
    "rotate_x_text",
    "rotate_y_text",
    "rownames_style",
    "rremove",
    "set_palette",
    "show_line_types",
    "show_point_shapes",
    "stat_anova_test",
    "stat_bracket",
    "stat_central_tendency",
    "stat_chull",
    "stat_cld",
    "stat_compare_means",
    "stat_conf_ellipse",
    "stat_cor",
    "stat_friedman_test",
    "stat_kruskal_test",
    "stat_mean",
    "stat_overlay_normal_density",
    "stat_pvalue_manual",
    "stat_pwc",
    "stat_regline_equation",
    "stat_stars",
    "stat_welch_anova_test",
    "style_scatterhist",
    "style_summarystats",
    "tab_add_border",
    "tab_add_footnote",
    "tab_add_hline",
    "tab_add_title",
    "tab_add_vline",
    "tab_cell_crossout",
    "tab_ncol",
    "tab_nrow",
    "table_cell_bg",
    "table_cell_font",
    "tbody_add_border",
    "tbody_style",
    "text_grob",
    "thead_add_border",
    "theme_classic2",
    "theme_cleveland",
    "theme_pubclean",
    "theme_pubr",
    "theme_transparent",
    "ttheme",
    "xscale",
    "yscale"
  ],
  "_datasets": [
    {
      "name": "diff_express",
      "title": "Differential gene expression analysis results",
      "object": "diff_express",
      "class": [
        "data.frame"
      ],
      "fields": [
        "name",
        "baseMean",
        "log2FoldChange",
        "padj",
        "detection_call"
      ],
      "rows": 36028,
      "table": true,
      "tojson": true
    },
    {
      "name": "gene_citation",
      "title": "Gene Citation Index",
      "object": "gene_citation",
      "class": [
        "data.frame"
      ],
      "fields": [
        "gene",
        "citation_index"
      ],
      "rows": 66,
      "table": true,
      "tojson": true
    },
    {
      "name": "gene_expression",
      "title": "Gene Expression Data",
      "object": "gene_expression",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "bcr_patient_barcode",
        "dataset",
        "GATA3",
        "PTEN",
        "XBP1"
      ],
      "rows": 1305,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "add_summary",
      "title": "Add Summary Statistics onto a ggplot.",
      "topics": [
        "add_summary",
        "mean_ci",
        "mean_range",
        "mean_sd",
        "mean_se_",
        "median_hilow_",
        "median_iqr",
        "median_mad",
        "median_q1q3",
        "median_range"
      ]
    },
    {
      "page": "add_test_label",
      "title": "Add an Omnibus Test Label to a GGPlot",
      "topics": [
        "add_test_label"
      ]
    },
    {
      "page": "annotate_figure",
      "title": "Annotate Arranged Figure",
      "topics": [
        "annotate_figure"
      ]
    },
    {
      "page": "as_ggplot",
      "title": "Storing grid.arrange() arrangeGrob() and plots",
      "topics": [
        "as_ggplot"
      ]
    },
    {
      "page": "as_npc",
      "title": "Convert Character Coordinates into Normalized Parent Coordinates (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"
      ]
    },
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      "fileid": "https://r2.ropensci.org/11e50f8756101a53c1ede50bc5294e8d4a5d10ecaecb80b014878e99aff0492c",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/kassambara/actions/runs/30051117022"
    }
  ]
}