{
  "_id": "6a1f26c9b401979e7342227e",
  "Package": "cassowaryr",
  "Title": "Compute Scagnostics on Pairs of Numeric Variables in a Data Set",
  "Version": "2.0.21",
  "Authors@R": "c(person(given = \"Harriet\",\nfamily = \"Mason\",\nemail = \"harriet.m.mason@gmail.com\",\nrole = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0009-0007-4568-8215\")),\nperson(given = \"Stuart\",\nfamily = \"Lee\",\nemail = \"stuart.andrew.lee@gmail.com\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0003-1179-8436\")),\nperson(given = \"Ursula\",\nfamily = \"Laa\",\nemail = \"ursula.laa@boku.ac.at\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-0249-6439\")),\nperson(given = \"Dianne\",\nfamily = \"Cook\",\nemail = \"dicook@monash.edu\",\nrole = \"aut\",\ncomment = c(ORCID = \"0000-0002-3813-7155\")),\nperson(\"Tina\", \"Rashid Jafari\",\nemail = \"tina.rashidjafari@gmail.com\",\nrole = c(\"aut\"),\ncomment = c(ORCID = \"0009-0008-3605-5341\")))",
  "Description": "Computes a range of scatterplot diagnostics (scagnostics)\non pairs of numerical variables in a data set. A range of\nscagnostics, including graph and association-based scagnostics\ndescribed by Leland Wilkinson and Graham Wills (2008)\n<doi:10.1198/106186008X320465> and association-based\nscagnostics described by Katrin Grimm\n(2016,ISBN:978-3-8439-3092-5) can be computed. Summary and\nplotting functions are provided.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
  "LazyData": "true",
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  "BugReports": "https://github.com/numbats/cassowaryr/issues",
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  "Repository": "https://numbats.r-universe.dev",
  "Date/Publication": "2026-06-02 18:39:13 UTC",
  "RemoteUrl": "https://github.com/numbats/cassowaryr",
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  "Packaged": {
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    "User": "root"
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  "Author": "Harriet Mason [aut, cre] (ORCID:\n<https://orcid.org/0009-0007-4568-8215>),\nStuart Lee [aut] (ORCID: <https://orcid.org/0000-0003-1179-8436>),\nUrsula Laa [aut] (ORCID: <https://orcid.org/0000-0002-0249-6439>),\nDianne Cook [aut] (ORCID: <https://orcid.org/0000-0002-3813-7155>),\nTina Rashid Jafari [aut] (ORCID:\n<https://orcid.org/0009-0008-3605-5341>)",
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  "_created": "2026-06-02T18:47:23.000Z",
  "_published": "2026-06-02T18:54:01.664Z",
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    "sc_skinny",
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    "sc_striated2",
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    "sc_stringy05",
    "sc_stringy06",
    "sc_stringy2",
    "sc_striped",
    "scree",
    "top_pair",
    "top_scag"
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      "title": "Data from Anscombe's famous example in tidy format",
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      "title": "datasaurus_dozen data",
      "topics": [
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        "datasaurus_dozen_wide"
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      "page": "diagnose_outliers",
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    {
      "page": "draw_functions",
      "title": "Drawing the graph objects",
      "topics": [
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        "draw_convexhull",
        "draw_functions",
        "draw_mst"
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      "title": "Parkinsons data from UCI machine learning archive",
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      "title": "Compute clumpy scagnostic measure using MST",
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      "page": "sc_clumpy_r",
      "title": "Compute robust clumpy scagnostic measure using MST",
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      "page": "sc_clumpy2",
      "title": "Compute adjusted clumpy measure using MST",
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      ]
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    {
      "page": "sc_convex",
      "title": "Compute convex scagnostic measure",
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    {
      "page": "sc_dcor",
      "title": "Distance correlation index.",
      "topics": [
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      "title": "Compute the grid scanostic measure using MST",
      "topics": [
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        "sc_striated2"
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    {
      "page": "sc_monotonic",
      "title": "Measure of Spearman Correlation",
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    {
      "page": "sc_outlying",
      "title": "Compute outlying scagnostic measure using MST",
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        "sc_outlying"
      ]
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    {
      "page": "sc_skewed",
      "title": "Compute skewed scagnostic measure using MST",
      "topics": [
        "sc_skewed"
      ]
    },
    {
      "page": "sc_skinny",
      "title": "Compute skinny scagnostic measure",
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    {
      "page": "sc_sparse",
      "title": "Compute sparse scagnostic measure using MST",
      "topics": [
        "sc_sparse"
      ]
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    {
      "page": "sc_sparse2",
      "title": "Compute adjusted sparse measure using the alpha hull",
      "topics": [
        "sc_sparse2"
      ]
    },
    {
      "page": "sc_splines",
      "title": "Spline based index.",
      "topics": [
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      ]
    },
    {
      "page": "sc_striated",
      "title": "Compute striated scagnostic measure using MST",
      "topics": [
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      ]
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      "page": "sc_stringy05",
      "title": "Compute the stringy05 scagnostic measure",
      "topics": [
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        "sc_stringy2"
      ]
    },
    {
      "page": "sc_stringy06",
      "title": "Compute the stringy06 scagnostic measure using the MST",
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        "sc_stringy06"
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      "page": "scree",
      "title": "Pre-processing to generate scagnostic measures",
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