{
  "_id": "6a101e42acfb0bcc41c8a952",
  "Package": "MKdescr",
  "Version": "1.0",
  "Date": "2025-09-16",
  "Title": "Descriptive Statistics",
  "Authors@R": "person(\"Matthias\", \"Kohl\", role = c(\"aut\", \"cre\"),\nemail = \"Matthias.Kohl@stamats.de\",\ncomment = c(ORCID = \"0000-0001-9514-8910\"))",
  "Author": "Matthias Kohl [aut, cre] (0000-0001-9514-8910)",
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  "Description": "Computation of standardized interquartile range (IQR),\nHuber-type skipped mean (Hampel (1985), <doi:10.2307/1268758>),\nrobust coefficient of variation (CV) (Arachchige et al. (2020),\n<doi:10.1080/02664763.2020.1808599>), robust signal to noise\nratio (SNR), z-score, standardized mean difference (SMD),\nz-factor (Zhang et al. (1999),\n<doi:10.1177/108705719900400206>) as well as functions that\nsupport graphical visualization such as boxplots based on\nquartiles (not hinges), negative logarithms and generalized\nlogarithms for 'ggplot2' (Wickham (2016),\nISBN:978-3-319-24277-4).",
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    "glog2",
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    "inv.glog",
    "inv.glog10",
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    "iqrSNR",
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    "iqrZscore",
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    "medSNR",
    "medZfactor",
    "medZscore",
    "melt.long",
    "qboxplot",
    "qbxp.stats",
    "scale_x_glog",
    "scale_x_glog10",
    "scale_x_glog2",
    "scale_x_log",
    "scale_x_log2",
    "scale_x_neglog",
    "scale_x_neglog10",
    "scale_x_neglog2",
    "scale_y_glog",
    "scale_y_glog10",
    "scale_y_glog2",
    "scale_y_log",
    "scale_y_log2",
    "scale_y_neglog",
    "scale_y_neglog10",
    "scale_y_neglog2",
    "sevenNS",
    "simCorVars",
    "sIQR",
    "skippedMean",
    "skippedSD",
    "SMD",
    "SNR",
    "thyroid",
    "zfactor",
    "zscore"
  ],
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    {
      "page": "0MKdescr-package",
      "title": "Descriptive Statistics.",
      "topics": [
        "MKdescr-package",
        "MKdescr"
      ]
    },
    {
      "page": "CV",
      "title": "Compute CV",
      "topics": [
        "CV",
        "iqrCV",
        "medCV"
      ]
    },
    {
      "page": "fiveNS",
      "title": "Five-Number Summaries",
      "topics": [
        "fiveNS"
      ]
    },
    {
      "page": "glog",
      "title": "Compute Generalized Logarithm",
      "topics": [
        "glog",
        "glog10",
        "glog2",
        "inv.glog",
        "inv.glog10",
        "inv.glog2"
      ]
    },
    {
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      "title": "Illustrate Box-and-Whisker Plots",
      "topics": [
        "illustrate.boxplot"
      ]
    },
    {
      "page": "illustrateQuantile",
      "title": "Illustrate Quantiles",
      "topics": [
        "illustrate.quantile"
      ]
    },
    {
      "page": "IQrange",
      "title": "The Interquartile Range",
      "topics": [
        "IQrange",
        "sIQR"
      ]
    },
    {
      "page": "meanAD",
      "title": "The Mean Absolute Deviation",
      "topics": [
        "meanAD"
      ]
    },
    {
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      "title": "Transform data.frame to Long Form",
      "topics": [
        "melt.long"
      ]
    },
    {
      "page": "qboxplot",
      "title": "Box Plots",
      "topics": [
        "qboxplot",
        "qboxplot.default",
        "qboxplot.formula"
      ]
    },
    {
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      "topics": [
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      ]
    },
    {
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      "title": "Seven-Number Summaries",
      "topics": [
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      ]
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    {
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      "title": "Simulate correlated variables.",
      "topics": [
        "simCorVars"
      ]
    },
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      "title": "Hyber-type Skipped Mean and SD",
      "topics": [
        "skippedMean",
        "skippedSD"
      ]
    },
    {
      "page": "SMD",
      "title": "Compute Standardized Mean Difference (SMD)",
      "topics": [
        "SMD"
      ]
    },
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      "title": "Compute SNR",
      "topics": [
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        "medSNR",
        "SNR"
      ]
    },
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      "topics": [
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      ]
    },
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        "glog2_trans",
        "glog_trans",
        "neglog10_trans",
        "neglog2_trans",
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        "zfactor"
      ]
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