{
  "_id": "6a1d69a91d7bb097a0a4ee78",
  "Package": "rfriend",
  "Type": "Package",
  "Title": "Provides Batch Functions and Visualisation for Basic Statistical\nProcedures",
  "Version": "3.1.0",
  "Authors@R": "c(person(\"Sander H.\", \"van Delden\", role = c(\"aut\", \"cre\"), email = \"plantmind@proton.me\"))",
  "Description": "Designed to streamline data analysis and statistical\ntesting, reducing the length of R scripts while generating\nwell-formatted outputs in 'pdf', 'Microsoft Word', and\n'Microsoft Excel' formats. In essence, the package contains\nfunctions which are sophisticated wrappers around existing R\nfunctions that are called by using 'f_' (user f_riendly) prefix\nfollowed by the normal function name. This third version of the\n'rfriend' package focuses primarily on data exploration,\nincluding tools for creating summary tables, f_summary(),\nsummary figures, f_scan(), outlier detection and removal,\nf_outlier() and f_remove_outliers(), performing data\ntransformations, f_boxcox() in part based on 'MASS/boxcox' and\n'rcompanion', and f_bestNormalize() which wraps and extends\nfunctionality from the 'bestNormalize' package. Furthermore,\n'rfriend' can automatically (or on request) generate\nvisualizations such as boxplots, f_boxplot(), QQ-plots,\nf_qqnorm(), histograms f_hist(), and density plots f_density().\nAdditionally, the package includes several statistical test\nfunctions: f_aov(), f_chisq_test(), f_corplot(),\nf_kruskal_test(), f_lmer(), f_glm(), f_t_test(),\nf_wilcox_test(), for sequential testing and visualisation of\nthe similar named 'stats' functions. These functions, except\nfor f_chisq_test(), support testing multiple response variables\nand predictors, while also handling assumption checks, data\ntransformations, and post hoc tests. Post hoc results are\nautomatically summarized in a table using the compact letter\ndisplay (cld) format for easy interpretation. The package also\nprovides a function to do model comparison,\nf_model_comparison(), and several utility functions to simplify\ncommon R tasks. For example, f_clear() clears the workspace and\nrestarts R with a single command; f_setwd() sets the working\ndirectory to match the directory of the current script;\nf_theme() quickly changes 'RStudio' themes; and f_factors()\nconverts multiple columns of a data frame to factors, and much\nmore. If you encounter any issues or have feature requests,\nplease feel free to contact me via email.",
  "Note": "When loading, both MuMIn and rstatix are imported. Since rstatix\ninternally depends on broom, this may trigger a warning about\nS3 method overwrites, specifically for nobs.fitdistr and\nnobs.multinom. These warnings are harmless and do not affect\nfunctionality.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Config/testthat/edition": "3",
  "Roxygen": "list(markdown = FALSE)",
  "SystemRequirements": "Pandoc (>= 3.2)",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-01 10:51:13 UTC",
    "User": "root"
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  "Author": "Sander H. van Delden [aut, cre]",
  "Maintainer": "Sander H. van Delden <plantmind@proton.me>",
  "URL": "https://delde001.github.io/rfriend/",
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  "Config/pak/sysreqs": "cmake make libmagick++-dev gsfonts libicu-dev\nlibpng-dev libuv1-dev libssl-dev zlib1g-dev",
  "Repository": "https://delde001.r-universe.dev",
  "Date/Publication": "2026-06-01 06:53:07 UTC",
  "RemoteUrl": "https://github.com/delde001/rfriend",
  "RemoteRef": "HEAD",
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  "MD5sum": "7f8c5bc808016d747f112e15311759a4",
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      "package": "bestNormalize",
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  "_exports": [
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    "f_aov",
    "f_bestNormalize",
    "f_boxcox",
    "f_boxplot",
    "f_boxplot_worker",
    "f_chisq_test",
    "f_clear",
    "f_conditional_round",
    "f_corplot",
    "f_factors",
    "f_glm",
    "f_hist",
    "f_kruskal_test",
    "f_lmer",
    "f_load_packages",
    "f_long",
    "f_model_compare",
    "f_open_file",
    "f_outliers",
    "f_pander",
    "f_qqnorm",
    "f_remove_outliers",
    "f_rename_columns",
    "f_rename_vector",
    "f_scan",
    "f_setwd",
    "f_stat_wizard",
    "f_summary",
    "f_t_test",
    "f_theme",
    "f_wilcox_test"
  ],
  "_help": [
    {
      "page": "df_to_table",
      "title": "Convert a data frame to a contingency table",
      "topics": [
        "df_to_table"
      ]
    },
    {
      "page": "f_aov",
      "title": "Perform multiple 'aov()' functions with optional data transformation, inspection and Post Hoc test.",
      "topics": [
        "f_aov"
      ]
    },
    {
      "page": "f_bestNormalize",
      "title": "f_bestNormalize: Automated Data Normalization with bestNormalize",
      "topics": [
        "f_bestNormalize"
      ]
    },
    {
      "page": "f_boxcox",
      "title": "f_boxcox: A User-Friendly Box-Cox Transformation",
      "topics": [
        "f_boxcox"
      ]
    },
    {
      "page": "f_boxplot",
      "title": "Generate a Boxplot Report of a data.frame",
      "topics": [
        "f_boxplot",
        "f_boxplot.data.frame",
        "f_boxplot.formula",
        "f_boxplot.integer",
        "f_boxplot.numeric",
        "f_boxplot_worker"
      ]
    },
    {
      "page": "f_chisq_test",
      "title": "Chi-squared Test with post hoc Analysis",
      "topics": [
        "f_chisq_test"
      ]
    },
    {
      "page": "f_clear",
      "title": "f_clear: Clear Various Aspects of the R Environment",
      "topics": [
        "f_clear"
      ]
    },
    {
      "page": "f_conditional_round",
      "title": "Conditional Rounding for Numeric Values",
      "topics": [
        "f_conditional_round"
      ]
    },
    {
      "page": "f_corplot",
      "title": "Correlation Plots with Factor Detection and Multiple Correlation Coefficients",
      "topics": [
        "f_corplot"
      ]
    },
    {
      "page": "f_factors",
      "title": "Convert multiple columns to Factors in a data frame",
      "topics": [
        "f_factors"
      ]
    },
    {
      "page": "f_glm",
      "title": "Perform multiple 'glm()' functions with diagnostics, assumption checking, and post hoc analysis",
      "topics": [
        "f_glm"
      ]
    },
    {
      "page": "f_hist",
      "title": "Plot a Histogram with an Overlaid Normal Curve",
      "topics": [
        "f_hist"
      ]
    },
    {
      "page": "f_kruskal_test",
      "title": "Perform multiple Kruskal-Wallis tests with a user-friendly output file, do data inspection and Dunn's test (of 'rstatix') as post hoc.",
      "topics": [
        "f_kruskal_test"
      ]
    },
    {
      "page": "f_lmer",
      "title": "Fit a linear mixed model with 'lme4::lmer()' including assumption checks, diagnostics, R-squared and post hoc tests.",
      "topics": [
        "f_lmer"
      ]
    },
    {
      "page": "f_load_packages",
      "title": "Install and Load Multiple R Packages",
      "topics": [
        "f_load_packages"
      ]
    },
    {
      "page": "f_long",
      "title": "Transform 'Wide' (Excel) data to 'Long' (R) format",
      "topics": [
        "f_long"
      ]
    },
    {
      "page": "f_model_compare",
      "title": "Compare Two Statistical Models",
      "topics": [
        "f_model_compare"
      ]
    },
    {
      "page": "f_open_file",
      "title": "Open a File with the Default Application",
      "topics": [
        "f_open_file"
      ]
    },
    {
      "page": "f_outliers",
      "title": "Identify Outliers within Groups using Tukey's Fences",
      "topics": [
        "f_outliers",
        "f_outliers.data.frame",
        "f_outliers.formula",
        "f_outliers.integer",
        "f_outliers.numeric"
      ]
    },
    {
      "page": "f_pander",
      "title": "Fancy Pander Table Output",
      "topics": [
        "f_pander"
      ]
    },
    {
      "page": "f_qqnorm",
      "title": "Normal Q-Q Plot with Confidence Bands",
      "topics": [
        "f_qqnorm"
      ]
    },
    {
      "page": "f_remove_outliers",
      "title": "Remove Outliers from Data",
      "topics": [
        "f_remove_outliers"
      ]
    },
    {
      "page": "f_rename_columns",
      "title": "Rename Specific Columns in a Data Frame",
      "topics": [
        "f_rename_columns"
      ]
    },
    {
      "page": "f_rename_vector",
      "title": "Rename Elements of a Vector Based on a Mapping",
      "topics": [
        "f_rename_vector"
      ]
    },
    {
      "page": "f_scan",
      "title": "Perform a visual check on your data",
      "topics": [
        "f_scan",
        "f_scan.data.frame",
        "f_scan.formula",
        "f_scan.integer",
        "f_scan.numeric"
      ]
    },
    {
      "page": "f_setwd",
      "title": "Set Working Directory Based on Current File or Specified Path",
      "topics": [
        "f_setwd"
      ]
    },
    {
      "page": "f_stat_wizard",
      "title": "Statistical Test Wizard",
      "topics": [
        "f_stat_wizard",
        "f_stat_wizard.data.frame",
        "f_stat_wizard.formula"
      ]
    },
    {
      "page": "f_summary",
      "title": "Summarize a Data Frame with Grouping Variables",
      "topics": [
        "f_summary",
        "f_summary.data.frame",
        "f_summary.formula"
      ]
    },
    {
      "page": "f_t_test",
      "title": "Perform multiple t-tests with optional data transformation, inspection and visualization.",
      "topics": [
        "f_t_test",
        "f_t_test.default",
        "f_t_test.formula"
      ]
    },
    {
      "page": "f_theme",
      "title": "Apply a black or white 'RStudio' Theme and Zoom Level",
      "topics": [
        "f_theme"
      ]
    },
    {
      "page": "f_wilcox_test",
      "title": "Perform multiple Wilcoxon rank sum and signed rank tests with inspection and visualization.",
      "topics": [
        "f_wilcox_test",
        "f_wilcox_test.default",
        "f_wilcox_test.formula"
      ]
    },
    {
      "page": "plot.f_bestNormalize",
      "title": "Plot an f_bestNormalize object",
      "topics": [
        "plot.f_bestNormalize"
      ]
    },
    {
      "page": "plot.f_boxcox",
      "title": "Plot an f_boxcox object",
      "topics": [
        "plot.f_boxcox"
      ]
    },
    {
      "page": "plot.f_kruskal_test",
      "title": "Plot method for f_kruskal_test objects",
      "topics": [
        "plot.f_kruskal_test"
      ]
    },
    {
      "page": "plot.f_lmer",
      "title": "Plot method for f_lmer objects",
      "topics": [
        "plot.f_lmer"
      ]
    },
    {
      "page": "plot.f_long",
      "title": "Plot method for f_long objects",
      "topics": [
        "plot.f_long"
      ]
    },
    {
      "page": "predict.f_boxcox",
      "title": "Predict method for f_boxcox objects",
      "topics": [
        "predict.f_boxcox"
      ]
    },
    {
      "page": "print.f_outliers",
      "title": "Print method for f_outliers objects",
      "topics": [
        "print.f_outliers"
      ]
    },
    {
      "page": "print.f_scan",
      "title": "Print method for f_scan objects",
      "topics": [
        "plot.f_scan",
        "print.f_scan",
        "summary.f_scan"
      ]
    },
    {
      "page": "print.f_stat_wizard",
      "title": "Print method for f_stat_wizard",
      "topics": [
        "print.f_stat_wizard"
      ]
    },
    {
      "page": "print.f_summary",
      "title": "Print method for f_summary objects",
      "topics": [
        "print.f_summary"
      ]
    },
    {
      "page": "summary.f_long",
      "title": "Summary method for f_long objects",
      "topics": [
        "summary.f_long"
      ]
    }
  ],
  "_readme": "https://github.com/delde001/rfriend/raw/HEAD/README.md",
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