{
  "_id": "6aac855c3d719c1f84071981",
  "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",
  "URL": "https://github.com/numbats/cassowaryr",
  "BugReports": "https://github.com/numbats/cassowaryr/issues",
  "VignetteBuilder": "knitr",
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  "Repository": "https://numbats.r-universe.dev",
  "Date/Publication": "2026-09-17 22:39:27 UTC",
  "RemoteUrl": "https://github.com/numbats/cassowaryr",
  "RemoteRef": "HEAD",
  "RemoteSha": "590e4342576c128fc1155ac022574d616d71559b",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-09-18 00:22:32 UTC",
    "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>)",
  "Maintainer": "Harriet Mason <harriet.m.mason@gmail.com>",
  "_user": "numbats",
  "_type": "src",
  "_file": "cassowaryr_2.0.21.tar.gz",
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  "_sha256": "468a506c7cce20e1d661ba9f3c5a4183bcd00362f75348a1c41d30bf242fd01a",
  "_expires": "2026-12-27T00:27:06.000Z",
  "_created": "2026-09-18T00:22:32.000Z",
  "_published": "2026-09-18T00:27:08.017Z",
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  "_buildurl": "https://github.com/r-universe/numbats/actions/runs/35290573731",
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    "message": "rescaled stringy added\n",
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    "sc_clumpy",
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    "sc_dcor",
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    "sc_monotonic",
    "sc_outlying",
    "sc_skewed",
    "sc_skinny",
    "sc_sparse",
    "sc_sparse2",
    "sc_splines",
    "sc_striated",
    "sc_striated2",
    "sc_stringy",
    "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",
      "object": "anscombe_tidy",
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        "data.frame"
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      "title": "Data from Anscombe's famous example in tidy format",
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      "page": "calc_scags",
      "title": "Compute selected scagnostics on subsets",
      "topics": [
        "calc_scags"
      ]
    },
    {
      "page": "calc_scags_wide",
      "title": "Compute scagnostics on all possible scatter plots for the given data",
      "topics": [
        "calc_scags_wide"
      ]
    },
    {
      "page": "datasaurus_dozen",
      "title": "datasaurus_dozen data",
      "topics": [
        "datasaurus_dozen",
        "datasaurus_dozen_wide"
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    },
    {
      "page": "diagnose_outliers",
      "title": "Diagnose outlier removal for one variable pair",
      "topics": [
        "diagnose_outliers"
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    },
    {
      "page": "draw_functions",
      "title": "Drawing the graph objects",
      "topics": [
        "draw_alphahull",
        "draw_convexhull",
        "draw_functions",
        "draw_mst"
      ]
    },
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      "topics": [
        "features"
      ]
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      "page": "numbat",
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      "topics": [
        "numbat"
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    {
      "page": "pk",
      "title": "Parkinsons data from UCI machine learning archive",
      "topics": [
        "pk"
      ]
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    {
      "page": "sc_clumpy",
      "title": "Compute clumpy scagnostic measure using MST",
      "topics": [
        "sc_clumpy"
      ]
    },
    {
      "page": "sc_clumpy_r",
      "title": "Compute robust clumpy scagnostic measure using MST",
      "topics": [
        "sc_clumpy_r"
      ]
    },
    {
      "page": "sc_clumpy2",
      "title": "Compute adjusted clumpy measure using MST",
      "topics": [
        "sc_clumpy2"
      ]
    },
    {
      "page": "sc_convex",
      "title": "Compute convex scagnostic measure",
      "topics": [
        "sc_convex"
      ]
    },
    {
      "page": "sc_dcor",
      "title": "Distance correlation index.",
      "topics": [
        "sc_dcor"
      ]
    },
    {
      "page": "sc_grid",
      "title": "Compute the grid scanostic measure using MST",
      "topics": [
        "sc_grid",
        "sc_striated2"
      ]
    },
    {
      "page": "sc_monotonic",
      "title": "Measure of Spearman Correlation",
      "topics": [
        "sc_monotonic"
      ]
    },
    {
      "page": "sc_outlying",
      "title": "Compute outlying scagnostic measure using MST",
      "topics": [
        "sc_outlying"
      ]
    },
    {
      "page": "sc_skewed",
      "title": "Compute skewed scagnostic measure using MST",
      "topics": [
        "sc_skewed"
      ]
    },
    {
      "page": "sc_skinny",
      "title": "Compute skinny scagnostic measure",
      "topics": [
        "sc_skinny"
      ]
    },
    {
      "page": "sc_sparse",
      "title": "Compute sparse scagnostic measure using MST",
      "topics": [
        "sc_sparse"
      ]
    },
    {
      "page": "sc_sparse2",
      "title": "Compute adjusted sparse measure using the alpha hull",
      "topics": [
        "sc_sparse2"
      ]
    },
    {
      "page": "sc_splines",
      "title": "Spline based index.",
      "topics": [
        "sc_splines"
      ]
    },
    {
      "page": "sc_striated",
      "title": "Compute striated scagnostic measure using MST",
      "topics": [
        "sc_striated"
      ]
    },
    {
      "page": "sc_stringy05",
      "title": "Compute the stringy05 scagnostic measure",
      "topics": [
        "sc_stringy05",
        "sc_stringy05.default",
        "sc_stringy2"
      ]
    },
    {
      "page": "sc_stringy06",
      "title": "Compute the stringy06 scagnostic measure using the MST",
      "topics": [
        "sc_stringy",
        "sc_stringy06"
      ]
    },
    {
      "page": "sc_striped",
      "title": "Measure of Discreteness",
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      ]
    },
    {
      "page": "scree",
      "title": "Pre-processing to generate scagnostic measures",
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    {
      "page": "top_functions",
      "title": "Summary computations for scagnostic data",
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        "top_pair",
        "top_scag"
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      "filename": "cassowaryr.html",
      "title": "An introduction to the cassowaryr package",
      "engine": "knitr::rmarkdown",
      "headings": [
        "About",
        "Installation",
        "Examples",
        "Calculating the scagnostics",
        "Using the scagnostics",
        "Drawing functions",
        "References"
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      "created": "2021-09-16 07:53:49",
      "modified": "2026-04-28 02:14:00",
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