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  "Title": "Miscellaneous Functions for the Analysis of Educational\nAssessments",
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  "Description": "Miscellaneous functions for data cleaning and data\nanalysis of educational assessments. Includes functions for\ndescriptive analyses, character vector manipulations and\nweighted statistics. Mainly a lightweight dependency for the\npackages 'eatRep', 'eatGADS', 'eatPrep' and 'eatModel' (which\nwill be subsequently submitted to 'CRAN'). The function for\ndefining (weighted) contrasts in weighted effect coding refers\nto te Grotenhuis et al. (2017) <doi:10.1007/s00038-016-0901-1>.\nFunctions for weighted statistics refer to Wolter (2007)\n<doi:10.1007/978-0-387-35099-8>.",
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  "Date/Publication": "2026-04-29 09:29:55 UTC",
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  "Maintainer": "Sebastian Weirich <sebastian.weirich@iqb.hu-berlin.de>",
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    "extra/citation.json",
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    "extra/contents.json",
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    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
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      "date": "2020-10-19"
    },
    {
      "version": "0.4.0",
      "date": "2021-01-25"
    },
    {
      "version": "0.5.0",
      "date": "2021-02-09"
    },
    {
      "version": "0.6.0",
      "date": "2021-07-06"
    },
    {
      "version": "0.7.0",
      "date": "2021-08-11"
    },
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      "date": "2021-11-10"
    },
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      "date": "2022-05-05"
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  "_exports": [
    "%$$%",
    "addLeadingZerosToCharInt",
    "asNumericIfPossible",
    "catch_asNumericIfPossible",
    "checkBackgroundVariables",
    "cleanifyString",
    "contr.wec.weighted",
    "crop",
    "descr",
    "do_call_rbind_withName",
    "existsBackgroundVariables",
    "facToChar",
    "gsubAll",
    "halveString",
    "insert.col",
    "makeDataFrame",
    "makeTria",
    "mergeAttr",
    "multiseq",
    "na_omit_selection",
    "num.to.cat",
    "print_and_capture",
    "pwc",
    "rbind_common",
    "rbind_fill_vector",
    "readMultisep",
    "recodeLookup",
    "removeNonNumeric",
    "removeNumeric",
    "removePattern",
    "roundDF",
    "seq2",
    "set.col.type",
    "tablePattern",
    "tableUnlist",
    "whereAre",
    "wideToLong",
    "wtdTable",
    "wtdVar"
  ],
  "_datasets": [
    {
      "name": "data.timss1",
      "title": "Example dataset TIMSS 2011",
      "object": "data.timss1",
      "file": "data.timss1.rda",
      "class": [
        "list"
      ],
      "fields": [],
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "eatTools-package",
      "title": "eatTools: Miscellaneous Functions for the Analysis of Educational Assessments",
      "topics": [
        "eatTools-package"
      ]
    },
    {
      "page": "operator",
      "title": "Extract Parts of an Object (list)",
      "topics": [
        "%$$%"
      ]
    },
    {
      "page": "addLeadingZeros",
      "title": "Add leading zeros to all columns that can be identified as integers in a character data.frame",
      "topics": [
        "addLeadingZerosToCharInt"
      ]
    },
    {
      "page": "asNumericIfPossible",
      "title": "Convert a Vector, Matrix or Data Frame Into Numeric Values If Possible",
      "topics": [
        "asNumericIfPossible"
      ]
    },
    {
      "page": "catch_asNumericIfPossible",
      "title": "Use 'asNumericIfPossible' with modified warning.",
      "topics": [
        "catch_asNumericIfPossible"
      ]
    },
    {
      "page": "checkBackgroundVariables",
      "title": "Internally needed function for consistency checks and data preparation.",
      "topics": [
        "checkBackgroundVariables"
      ]
    },
    {
      "page": "cleanifyString",
      "title": "Removes special characters",
      "topics": [
        "cleanifyString"
      ]
    },
    {
      "page": "contr.wec.weighted",
      "title": "Calculates contrasts for a weighted factor variable based on weighted effect coding",
      "topics": [
        "contr.wec.weighted"
      ]
    },
    {
      "page": "crop",
      "title": "Remove Trailing and Leading Characters From Character Strings",
      "topics": [
        "crop"
      ]
    },
    {
      "page": "data.timss1",
      "title": "Example dataset TIMSS 2011",
      "topics": [
        "data.timss1"
      ]
    },
    {
      "page": "descr",
      "title": "Descriptive statistics for one or several variables",
      "topics": [
        "descr"
      ]
    },
    {
      "page": "do_call_rbind_withName",
      "title": "Row bind a list while assigning names to rows",
      "topics": [
        "do_call_rbind_withName"
      ]
    },
    {
      "page": "existsBackgroundVariables",
      "title": "Internally needed function for consistency checks and data preparation.",
      "topics": [
        "existsBackgroundVariables"
      ]
    },
    {
      "page": "facToChar",
      "title": "Transform columns in a data frame",
      "topics": [
        "facToChar"
      ]
    },
    {
      "page": "gsubAll",
      "title": "Pattern matching and replacement",
      "topics": [
        "gsubAll"
      ]
    },
    {
      "page": "halveString",
      "title": "Split string exactly in two parts",
      "topics": [
        "halveString"
      ]
    },
    {
      "page": "insert.col",
      "title": "Insert Columns into a 'data.frame' at a Specific Position",
      "topics": [
        "insert.col"
      ]
    },
    {
      "page": "makeDataFrame",
      "title": "Converts 'tbl' or 'data.table' objects to plain 'data.frames' for internal processing",
      "topics": [
        "makeDataFrame"
      ]
    },
    {
      "page": "makeTria",
      "title": "Reshapes an unordered covariance/correlation matrix into triangular shape",
      "topics": [
        "makeTria"
      ]
    },
    {
      "page": "mergeAttr",
      "title": "Merge Two Data Frames with additional messages and maintain variable attributes",
      "topics": [
        "mergeAttr"
      ]
    },
    {
      "page": "multiseq",
      "title": "multiple sequences",
      "topics": [
        "multiseq"
      ]
    },
    {
      "page": "na_omit_selection",
      "title": "Drop rows containing missing values",
      "topics": [
        "na_omit_selection"
      ]
    },
    {
      "page": "num.to.cat",
      "title": "Transform continuous variables into ordered factors",
      "topics": [
        "num.to.cat"
      ]
    },
    {
      "page": "print_and_capture",
      "title": "Easy integration of (small) tables into (error) messages",
      "topics": [
        "print_and_capture"
      ]
    },
    {
      "page": "pwc",
      "title": "Part-whole correlation for numeric data frames",
      "topics": [
        "pwc"
      ]
    },
    {
      "page": "rbind_common",
      "title": "Combine data.frames by row, using only common columns.",
      "topics": [
        "rbind_common"
      ]
    },
    {
      "page": "rbind_fill_vector",
      "title": "Combine vectors of unequal length by row, filling missing columns with NA.",
      "topics": [
        "rbind_fill_vector"
      ]
    },
    {
      "page": "readMultisep",
      "title": "Read in data.frames with separator characters >=1Byte",
      "topics": [
        "readMultisep"
      ]
    },
    {
      "page": "recodeLookup",
      "title": "Recode a variable according to a lookup table",
      "topics": [
        "recodeLookup"
      ]
    },
    {
      "page": "removeNonNumeric",
      "title": "Removes all non-numeric characters from a string.",
      "topics": [
        "removeNonNumeric"
      ]
    },
    {
      "page": "removeNumeric",
      "title": "Removes alphanumeric characters from a string.",
      "topics": [
        "removeNumeric"
      ]
    },
    {
      "page": "removePattern",
      "title": "Removes a specified pattern from a string.",
      "topics": [
        "removePattern"
      ]
    },
    {
      "page": "roundDF",
      "title": "Round a 'data.frame'.",
      "topics": [
        "roundDF"
      ]
    },
    {
      "page": "seq2",
      "title": "Sequence generation",
      "topics": [
        "seq2"
      ]
    },
    {
      "page": "set.col.type",
      "title": "Set the Class of Columns in a Data Frame",
      "topics": [
        "set.col.type"
      ]
    },
    {
      "page": "tablePattern",
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        "tablePattern"
      ]
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    {
      "page": "tableUnlist",
      "title": "Frequency table for data frames, e.g. across multiple columns",
      "topics": [
        "tableUnlist"
      ]
    },
    {
      "page": "whereAre",
      "title": "Matches a scalar with elements of a vector.",
      "topics": [
        "whereAre"
      ]
    },
    {
      "page": "wideToLong",
      "title": "Transform wide format data sets into the long format necessary for eatRep analyses",
      "topics": [
        "wideToLong"
      ]
    },
    {
      "page": "wtdTable",
      "title": "Computed weighted frequency tables",
      "topics": [
        "wtdTable"
      ]
    },
    {
      "page": "wtdVar",
      "title": "Computed weighted variance",
      "topics": [
        "wtdVar"
      ]
    }
  ],
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