{
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  "Package": "wrappedtools",
  "Type": "Package",
  "Title": "Useful Wrappers Around Commonly Used Functions",
  "Description": "The main functionalities of 'wrappedtools' are: adding\nbackticks to variable names; rounding to desired precision with\nspecial case for p-values; selecting columns based on pattern\nand/or class and storing their position, name, and backticked\nname; computing and formatting of descriptive statistics (e.g.\nmean±SD), comparing groups and creating publication-ready\ntables with descriptive statistics and p-values; creating\nspecialized plots for correlation matrices. Functions were\nmainly written for my own daily work or teaching, but may be of\nuse to others as well.",
  "Version": "0.9.10",
  "Date": "2026-05-15",
  "Authors@R": "c(\nperson(given = \"Andreas\",\nfamily = \"Busjahn\",\nrole = c(\"cre\", \"aut\"),\nemail = \"andreas@busjahn.net\",\ncomment = c(ORCID = \"0000-0001-9650-6919\")),\nperson(given = \"Franziska\",\nfamily = \"Eidloth\",\nrole = c(\"aut\"),\nemail = \"franziska.eidloth@gmail.com\",\ncomment = \"\"),\nperson(given = \"Bilal\",\nfamily = \"Asser\",\nrole = c(\"aut\"),\nemail = \"billyasser@hotmail.co.uk\",\ncomment = \"\"))",
  "Maintainer": "Andreas Busjahn <andreas@busjahn.net>",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
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  "URL": "https://github.com/abusjahn/wrappedtools",
  "BugReports": "https://github.com/abusjahn/wrappedtools/issues",
  "Config/pak/sysreqs": "libcairo2-dev cmake libfontconfig1-dev\nlibfreetype6-dev libfribidi-dev make libharfbuzz-dev libicu-dev\nlibjpeg-dev libpng-dev libtiff-dev libuv1-dev libwebp-dev\nlibxml2-dev libssl-dev libx11-dev zlib1g-dev",
  "Repository": "https://abusjahn.r-universe.dev",
  "Date/Publication": "2026-05-28 06:11:07 UTC",
  "RemoteUrl": "https://github.com/abusjahn/wrappedtools",
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  "Packaged": {
    "Date": "2026-05-28 06:56:49 UTC",
    "User": "root"
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  "Author": "Andreas Busjahn [cre, aut] (ORCID:\n<https://orcid.org/0000-0001-9650-6919>),\nFranziska Eidloth [aut],\nBilal Asser [aut]",
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    "cat_desc_table",
    "cn",
    "ColSeeker",
    "compare_n_numvars",
    "compare_n_qualvars",
    "compare2numvars",
    "compare2qualvars",
    "cortestR",
    "detect_outliers",
    "eGFR",
    "FindVars",
    "flex2rmd",
    "formatP",
    "ggcormat",
    "glmCI",
    "identical_cols",
    "ksnormal",
    "label_outliers",
    "logrange_1",
    "logrange_123456789",
    "logrange_12357",
    "logrange_15",
    "logrange_5",
    "markSign",
    "mean_cl_boot",
    "meansd",
    "meanse",
    "median_cl_boot",
    "median_cl_boot_gg",
    "median_quart",
    "medianse",
    "pairwise_fisher_test",
    "pairwise_ordcat_test",
    "pairwise_t_test",
    "pairwise_wilcox_test",
    "pdf_kable",
    "plot_LB",
    "plot_MM",
    "print_kable",
    "roundR",
    "se_median",
    "SEM",
    "surprisal",
    "t_var_test",
    "tab.search",
    "var_coeff",
    "WINratio"
  ],
  "_datasets": [
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      "title": "Results from a simulated clinical trial with interaction effects.",
      "object": "faketrial",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "Sex",
        "Agegroup",
        "Treatment",
        "HR",
        "sysRR",
        "diaRR",
        "Responder",
        "Med Consectetur FakePharm",
        "Med Sollicitudin FakePharm",
        "Med Suspendisse FakePharm",
        "Med Ullamcorper FakePharm",
        "Med Scelerisque FakePharm",
        "Med Pellentesque FakePharm",
        "Med Condimentum FakePharm",
        "Biomarker 1 [units]",
        "Biomarker 2 [units]",
        "Biomarker 3 [units]",
        "Biomarker 4 [units]",
        "Biomarker 5 [units]",
        "Biomarker 6 [units]",
        "Biomarker 7 [units]",
        "Biomarker 8 [units]",
        "Biomarker 9 [units]",
        "Biomarker 10 [units]"
      ],
      "rows": 300,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "bt",
      "title": "Add backticks to names or remove them",
      "topics": [
        "bt"
      ]
    },
    {
      "page": "cat_desc_stats",
      "title": "Compute absolute and relative frequencies.",
      "topics": [
        "cat_desc_stats"
      ]
    },
    {
      "page": "cat_desc_table",
      "title": "Compute absolute and relative frequencies for a table.",
      "topics": [
        "cat_desc_table"
      ]
    },
    {
      "page": "cn",
      "title": "Shortcut for colnames()",
      "topics": [
        "cn"
      ]
    },
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      "page": "ColSeeker",
      "title": "Find numeric index and names of columns based on class(es) and patterns",
      "topics": [
        "ColSeeker"
      ]
    },
    {
      "page": "compare_n_numvars",
      "title": "Comparison for columns of Gaussian or ordinal measures for n groups",
      "topics": [
        "compare_n_numvars"
      ]
    },
    {
      "page": "compare_n_qualvars",
      "title": "Comparison for columns of factors for more than 2 groups with post-hoc",
      "topics": [
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      ]
    },
    {
      "page": "compare2numvars",
      "title": "Comparison for columns of numbers for 2 groups",
      "topics": [
        "compare2numvars"
      ]
    },
    {
      "page": "compare2qualvars",
      "title": "Comparison for columns of factors for 2 groups",
      "topics": [
        "compare2qualvars"
      ]
    },
    {
      "page": "cortestR",
      "title": "Correlations with significance",
      "topics": [
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      ]
    },
    {
      "page": "detect_outliers",
      "title": "Find outliers based on IQR",
      "topics": [
        "detect_outliers"
      ]
    },
    {
      "page": "eGFR",
      "title": "Estimation of glomerular filtration rate (eGFR) based on sex, age, and either serum creatinine and/or cystatin C",
      "topics": [
        "eGFR"
      ]
    },
    {
      "page": "faketrial",
      "title": "Results from a simulated clinical trial with interaction effects.",
      "topics": [
        "faketrial"
      ]
    },
    {
      "page": "FindVars",
      "title": "Find numeric index and names of columns based on patterns",
      "topics": [
        "FindVars"
      ]
    },
    {
      "page": "flex2rmd",
      "title": "Transform flextable to rmd if non-interactive",
      "topics": [
        "flex2rmd"
      ]
    },
    {
      "page": "formatP",
      "title": "Re-format p-values, avoiding rounding to 0 and adding surprisal if requested",
      "topics": [
        "formatP"
      ]
    },
    {
      "page": "ggcormat",
      "title": "Print graphical representation of a correlation matrix.",
      "topics": [
        "ggcormat"
      ]
    },
    {
      "page": "glmCI",
      "title": "Confidence interval for generalized linear models",
      "topics": [
        "glmCI"
      ]
    },
    {
      "page": "identical_cols",
      "title": "Find and optionally remove identical columns in a data frame.",
      "topics": [
        "identical_cols"
      ]
    },
    {
      "page": "ksnormal",
      "title": "Kolmogorov-Smirnov-Test against Normal distribution",
      "topics": [
        "ksnormal"
      ]
    },
    {
      "page": "label_outliers",
      "title": "Add labels to outliers in boxplot/beeswarm.",
      "topics": [
        "label_outliers"
      ]
    },
    {
      "page": "logrange_1",
      "title": "Predefined sets of labels for plots with log-scaled axes",
      "topics": [
        "logrange_1",
        "logrange_123456789",
        "logrange_12357",
        "logrange_15",
        "logrange_5"
      ]
    },
    {
      "page": "markSign",
      "title": "Convert significance levels to symbols",
      "topics": [
        "markSign"
      ]
    },
    {
      "page": "mean_cl_boot",
      "title": "Compute confidence interval of mean by bootstrapping.",
      "topics": [
        "mean_cl_boot"
      ]
    },
    {
      "page": "meansd",
      "title": "Compute mean and sd and put together with the ± symbol.",
      "topics": [
        "meansd"
      ]
    },
    {
      "page": "meanse",
      "title": "Compute mean and standard error of mean and put together with the ± symbol.",
      "topics": [
        "meanse"
      ]
    },
    {
      "page": "median_cl_boot",
      "title": "Compute confidence interval of median by bootstrapping.",
      "topics": [
        "median_cl_boot"
      ]
    },
    {
      "page": "median_cl_boot_gg",
      "title": "Rename output from median_cl_boot for use in ggplot.",
      "topics": [
        "median_cl_boot_gg"
      ]
    },
    {
      "page": "median_quart",
      "title": "Compute median and quartiles and put together.",
      "topics": [
        "median_quart"
      ]
    },
    {
      "page": "medianse",
      "title": "Compute standard error of median.",
      "topics": [
        "medianse"
      ]
    },
    {
      "page": "pairwise_fisher_test",
      "title": "Pairwise Fisher's exact tests",
      "topics": [
        "pairwise_fisher_test"
      ]
    },
    {
      "page": "pairwise_ordcat_test",
      "title": "Pairwise comparison for ordinal categories",
      "topics": [
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      ]
    },
    {
      "page": "pairwise_t_test",
      "title": "Extended pairwise t-test",
      "topics": [
        "pairwise_t_test"
      ]
    },
    {
      "page": "pairwise_wilcox_test",
      "title": "Pairwise Wilcoxon tests",
      "topics": [
        "pairwise_wilcox_test"
      ]
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    {
      "page": "pdf_kable",
      "title": "Enhanced knitr::kable with latex",
      "topics": [
        "pdf_kable"
      ]
    },
    {
      "page": "plot_LB",
      "title": "Lineweaver-Burk diagram",
      "topics": [
        "plot_LB"
      ]
    },
    {
      "page": "plot_MM",
      "title": "Michaelis-Menten enzyme kinetics model and plot",
      "topics": [
        "plot_MM"
      ]
    },
    {
      "page": "print_kable",
      "title": "Enhanced knitr::kable with definable number of rows and/or columns for splitting",
      "topics": [
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      "topics": [
        "roundR"
      ]
    },
    {
      "page": "se_median",
      "title": "Compute standard error of median",
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    },
    {
      "page": "SEM",
      "title": "Standard Error of Mean.",
      "topics": [
        "SEM"
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    },
    {
      "page": "surprisal",
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    },
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      "title": "Independent sample t-test with test for equal variance",
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      "page": "tab.search",
      "title": "Search within data.frame or tibble",
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      ]
    },
    {
      "page": "var_coeff",
      "title": "Compute coefficient of variance.",
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    },
    {
      "page": "WINratio",
      "title": "Comparison for groups in clinical trials based on all possible combinations of subjects",
      "topics": [
        "WINratio"
      ]
    }
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