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  "Title": "Bootstrap Confidence Regions for Simple and Multiple\nCorrespondence Analysis",
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  "Author": "Trevor Ringrose",
  "Maintainer": "Trevor Ringrose <t.j.ringrose@cranfield.ac.uk>",
  "Description": "Performs simple correspondence analysis on a two-way\ncontingency table, or multiple correspondence analysis\n(homogeneity analysis) on data with p categorical variables,\nand produces bootstrap-based elliptical confidence regions\naround the projected coordinates for the category points.\nIncludes routines to plot the results in a variety of styles.\nAlso reports the standard numerical output for correspondence\nanalysis.",
  "License": "GPL-3",
  "Encoding": "UTF-8",
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  "Date/Publication": "2022-03-02 22:00:02 UTC",
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    "getindicator",
    "myresamplefn",
    "plotca",
    "printca",
    "rearrange",
    "reflectaxes",
    "reordercategories",
    "sca",
    "summaryca"
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      "title": "Asbestos data",
      "object": "AsbestosData",
      "class": [
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      "fields": [
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        "G1",
        "G2",
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      "class": [
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        "Preoccupied",
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      "title": "Maxwell's dream data set with added totally random column",
      "object": "DreamData223by3",
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        "C",
        "V"
      ],
      "rows": 223,
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      "tojson": true
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    {
      "name": "DreamDataNames",
      "title": "Maxwell's dream data set, using full original labels",
      "object": "DreamDataNames",
      "class": [
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        "Rec",
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        "Tram",
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        "Post",
        "Context"
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      "table": true,
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      "class": [
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        "Hang",
        "Drown",
        "Gun",
        "Stab",
        "Jump",
        "Other"
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      "table": true,
      "tojson": true
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    {
      "page": "cabootcrs-package",
      "title": "Bootstrap Confidence Regions for Simple and Multiple Correspondence Analysis",
      "topics": [
        "cabootcrs-package"
      ]
    },
    {
      "page": "addsupplementary",
      "title": "Calculate coordinates for supplementary points, with option to add to the currently selected plot.",
      "topics": [
        "addsupplementary"
      ]
    },
    {
      "page": "allvarscovs",
      "title": "Extract all variances and covariances in readable form as a data frame",
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        "allvarscovs"
      ]
    },
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      "title": "Asbestos data",
      "topics": [
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      ]
    },
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      "title": "van Ijzendoorn's attachment data",
      "topics": [
        "AttachmentData"
      ]
    },
    {
      "page": "cabasicresults-class",
      "title": "A class containing the basic results from CA",
      "topics": [
        "cabasicresults-class"
      ]
    },
    {
      "page": "cabootcrs",
      "title": "Calculate category point variances using bootstrapping",
      "topics": [
        "cabootcrs"
      ]
    },
    {
      "page": "cabootcrsresults-class",
      "title": "A class containing the results from CA with bootstrapping",
      "topics": [
        "cabootcrsresults-class"
      ]
    },
    {
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      "title": "Converting a data matrix from one format into another",
      "concept": [
        "conversion functions"
      ],
      "topics": [
        "convert"
      ]
    },
    {
      "page": "covmat",
      "title": "Extract a single 2 by 2 covariance matrix",
      "topics": [
        "covmat"
      ]
    },
    {
      "page": "DreamData",
      "title": "Maxwell's dream data set, with simplified labels",
      "topics": [
        "DreamData"
      ]
    },
    {
      "page": "DreamData223by3",
      "title": "Maxwell's dream data set with added totally random column",
      "topics": [
        "DreamData223by3"
      ]
    },
    {
      "page": "DreamDataNames",
      "title": "Maxwell's dream data set, using full original labels",
      "topics": [
        "DreamDataNames"
      ]
    },
    {
      "page": "getBurt",
      "title": "Converting a data matrix into a Burt matrix",
      "concept": [
        "conversion functions"
      ],
      "topics": [
        "getBurt"
      ]
    },
    {
      "page": "getCT",
      "title": "Converting a data matrix into a contingency table",
      "concept": [
        "conversion functions"
      ],
      "topics": [
        "getCT"
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    },
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      "title": "Converting a data matrix into a doubled matrix",
      "concept": [
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      "topics": [
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    },
    {
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      "title": "Converting a data matrix into an indicator matrix",
      "concept": [
        "conversion functions"
      ],
      "topics": [
        "getindicator"
      ]
    },
    {
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      "title": "Example of a user-generated resampling routine.",
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    {
      "page": "NishData",
      "title": "Nishisato's Singapore data",
      "topics": [
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    {
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    },
    {
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      "title": "Osteoarchaeological data with named categories",
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    },
    {
      "page": "plotca",
      "title": "Plotting results with confidence regions",
      "topics": [
        "plotca"
      ]
    },
    {
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      "title": "Prints reasonably full results, including variances",
      "topics": [
        "printca"
      ]
    },
    {
      "page": "rearrange",
      "title": "Rearranges bootstrap axes by comparing to sample axes",
      "topics": [
        "rearrange"
      ]
    },
    {
      "page": "rearrange_old",
      "title": "Old and rubbish algorithm to rearrange bootstrap axes by comparing to sample axes",
      "topics": [
        "rearrange_old"
      ]
    },
    {
      "page": "reflectaxes",
      "title": "Reflect coordinates for chosen axes",
      "topics": [
        "reflectaxes"
      ]
    },
    {
      "page": "reordercategories",
      "title": "Reorder categories for chosen variable in MCA case only",
      "topics": [
        "reordercategories"
      ]
    },
    {
      "page": "sca",
      "title": "Performs standard Correspondence Analysis calculations",
      "topics": [
        "sca"
      ]
    },
    {
      "page": "settingsinertias",
      "title": "Internal function to be used by printca and summaryca",
      "topics": [
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      ]
    },
    {
      "page": "SuicideData",
      "title": "Suicide data",
      "topics": [
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      ]
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      "topics": [
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