{
  "_id": "6a1f154db401979e7341e519",
  "Package": "labelr",
  "Title": "Label Data Frames, Variables, and Values",
  "Version": "0.1.8",
  "Authors@R": "c(person(\"Robert\", \"Hartman\", \"\", email = \"rohartman@gmail.com\", role = c(\"aut\", \"cre\")), person(\"The MITRE Corporation\", role = \"cph\"))",
  "Maintainer": "Robert Hartman <rohartman@gmail.com>",
  "Description": "Create and use data frame labels for data frame objects\n(frame labels), their columns (name labels), and individual\nvalues of a column (value labels). Value labels include\none-to-one and many-to-one labels for nominal and ordinal\nvariables, as well as numerical range-based value labels for\ncontinuous variables. Convert value-labeled variables so each\nvalue is replaced by its corresponding value label. Add\nvalues-converted-to-labels columns to a value-labeled data\nframe while preserving parent columns. Filter and subset a\nvalue-labeled data frame using labels, while returning results\nin terms of values. Overlay labels in place of values in common\nR commands to increase interpretability. Generate tables of\nvalue frequencies, with categories expressed as raw values or\nas labels. Access data frames that show value-to-label mappings\nfor easy reference.",
  "License": "GPL (>= 3)",
  "URL": "https://github.com/rhartmano/labelr",
  "Encoding": "UTF-8",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.0",
  "VignetteBuilder": "knitr",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-17 06:43:38 UTC",
    "User": "root"
  },
  "Author": "Robert Hartman [aut, cre], The MITRE Corporation [cph]",
  "Repository": "https://rhartmano.r-universe.dev",
  "Date/Publication": "2024-08-30 02:43:51 UTC",
  "RemoteUrl": "https://github.com/rhartmano/labelr",
  "RemoteRef": "HEAD",
  "RemoteSha": "757dea25dd4246771a4c8e42ecdc5d6fe95b88ac",
  "MD5sum": "24a97437605b19ade9d9536cf7dcd364",
  "_user": "rhartmano",
  "_type": "src",
  "_file": "labelr_0.1.8.tar.gz",
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  "_created": "2026-05-17T06:43:38.000Z",
  "_published": "2026-06-02T17:39:24.999Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/rhartmano/actions/runs/25983679408",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/rhartmano/labelr",
  "_commit": {
    "id": "757dea25dd4246771a4c8e42ecdc5d6fe95b88ac",
    "author": "rhartmano <rhatman@outlook.com>",
    "committer": "rhartmano <rhatman@outlook.com>",
    "message": "#add purl argument to special-topics vignette\n",
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    "name": "Robert Hartman",
    "email": "rohartman@gmail.com",
    "login": "brohartman",
    "description": "",
    "uuid": 13629169
  },
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  "_dependencies": [
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      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
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    {
      "package": "stats",
      "role": "Imports"
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      "package": "utils",
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  "_owner": "rhartmano",
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  "_updates": [],
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  "_stars": 3,
  "_contributors": [
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    "type": "user",
    "name": "rhartmano"
  },
  "_downloads": {
    "count": 199,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/labelr"
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  "_devurl": "https://github.com/rhartmano/labelr",
  "_searchresults": 10,
  "_rbuild": "4.6.0",
  "_assets": [
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    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/labelr.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/rhartmano/labelr",
  "_realowner": "rhartmano",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.2",
      "date": "2024-01-23"
    },
    {
      "version": "0.1.3",
      "date": "2024-02-21"
    },
    {
      "version": "0.1.4",
      "date": "2024-04-02"
    },
    {
      "version": "0.1.5",
      "date": "2024-05-02"
    },
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      "version": "0.1.6",
      "date": "2024-06-04"
    },
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    },
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      "version": "0.1.8",
      "date": "2024-08-27"
    },
    {
      "version": "0.1.9",
      "date": "2024-09-08"
    }
  ],
  "_exports": [
    "add_factor_info",
    "add_frame_lab",
    "add_lab_atts",
    "add_lab_col1",
    "add_lab_cols",
    "add_lab_dumm1",
    "add_lab_dummies",
    "add_m1_lab",
    "add_name_labs",
    "add_quant_labs",
    "add_quant1",
    "add_val_labs",
    "add_val1",
    "add1m1",
    "adf",
    "adf2",
    "afl",
    "alb",
    "alc",
    "alc1",
    "ald",
    "ald1",
    "aldf",
    "all_quant_labs",
    "all_uniquev",
    "all_univ",
    "allq",
    "am1l",
    "anl",
    "aql",
    "aql1",
    "as_base_data_frame",
    "as_base_data_frame2",
    "as_labeled_data_frame",
    "as_num",
    "as_numv",
    "avl",
    "avl1",
    "axis_lab",
    "check_any_lab_atts",
    "check_class",
    "check_irregular",
    "check_labs_att",
    "clean_data_atts",
    "convert_labs",
    "copy_var",
    "dfl",
    "dnl",
    "drop_frame_lab",
    "drop_name_labs",
    "drop_val_labs",
    "drop_val1",
    "dvl",
    "dvl1",
    "f2c",
    "f2int",
    "fact2char",
    "factor_to_lab_int",
    "flab",
    "get_all_factors",
    "get_all_lab_atts",
    "get_factor_atts",
    "get_factor_info",
    "get_frame_lab",
    "get_labs_att",
    "get_name_labs",
    "get_val_lab1",
    "get_val_labs",
    "gfl",
    "gnl",
    "greml",
    "gremlr",
    "gvl",
    "gvl1",
    "h11l",
    "has_avl_labs",
    "has_decv",
    "has_m1_labs",
    "has_quant_labs",
    "has_val_labs",
    "headl",
    "hm1l",
    "hql",
    "hvl",
    "init_labs",
    "int2f",
    "irregular2",
    "irregular2v",
    "is_numable",
    "lab_int_to_factor",
    "make_demo_data",
    "make_likert_data",
    "recode_vals",
    "restore_factor_info",
    "sbrac",
    "scbind",
    "schange",
    "sdrop",
    "sfilter",
    "sgen",
    "slab",
    "smerge",
    "somel",
    "sort_val_labs",
    "srbind",
    "srename",
    "sreplace",
    "sselect",
    "ssort",
    "ssubset",
    "strip_labs",
    "tabl",
    "taill",
    "transfer_labs",
    "unl",
    "use_name_labs",
    "use_val_lab1",
    "use_val_labs",
    "use_var_names",
    "uvl",
    "uvl1",
    "uvn",
    "v",
    "val_labs_vec",
    "vlv",
    "wbl",
    "with_both_labs",
    "with_name_labs",
    "with_val_labs",
    "wnl",
    "wvl"
  ],
  "_help": [
    {
      "page": "add_factor_info",
      "title": "Add Factor-specific Attributes to a Data Frame",
      "topics": [
        "add_factor_info"
      ]
    },
    {
      "page": "add_frame_lab",
      "title": "Add or Modify a Data Frame \"Frame Label\"",
      "topics": [
        "add_frame_lab",
        "afl"
      ]
    },
    {
      "page": "add_lab_atts",
      "title": "Add labelr Attributes from a list to a Data Frame",
      "topics": [
        "add_lab_atts"
      ]
    },
    {
      "page": "add_lab_col1",
      "title": "Create a Value Labels Column for a Single Variable and Add to the Data Frame",
      "topics": [
        "add_lab_col1",
        "alc1"
      ]
    },
    {
      "page": "add_lab_cols",
      "title": "Add Variable Value Label Columns to a Data Frame",
      "topics": [
        "add_lab_cols",
        "alc"
      ]
    },
    {
      "page": "add_lab_dumm1",
      "title": "Add A Dummy Variable for Each Value Label of a Single Variable",
      "topics": [
        "add_lab_dumm1",
        "ald1"
      ]
    },
    {
      "page": "add_lab_dummies",
      "title": "Add A Dummy Variable for Each Value Label",
      "topics": [
        "add_lab_dummies",
        "ald"
      ]
    },
    {
      "page": "add_m1_lab",
      "title": "Apply One Label to Multiple Values",
      "topics": [
        "add_m1_lab",
        "am1l"
      ]
    },
    {
      "page": "add_name_labs",
      "title": "Add or Modify Data Frame Variable Name Labels",
      "topics": [
        "add_name_labs",
        "anl"
      ]
    },
    {
      "page": "add_quant_labs",
      "title": "Associate Numerical Threshold-based Value Labels with Select Numerical Variables",
      "topics": [
        "add_quant_labs",
        "aql"
      ]
    },
    {
      "page": "add_quant1",
      "title": "Associate Numerical Threshold-based Value Labels with a Single Numerical Variable",
      "topics": [
        "add_quant1",
        "aql1"
      ]
    },
    {
      "page": "add_val_labs",
      "title": "Add or Modify a Variable's Value Labels",
      "topics": [
        "add_val_labs",
        "avl"
      ]
    },
    {
      "page": "add_val1",
      "title": "Add or Modify a Single Variable's Value Labels",
      "topics": [
        "add_val1",
        "avl1"
      ]
    },
    {
      "page": "add1m1",
      "title": "Apply One Label to Multiple Values for a Single Variable",
      "topics": [
        "add1m1"
      ]
    },
    {
      "page": "all_quant_labs",
      "title": "Add Quantile-based Value Labels to All Numeric Vars that Meet Specifications",
      "topics": [
        "allq",
        "all_quant_labs"
      ]
    },
    {
      "page": "all_uniquev",
      "title": "Are All Values in a Free-standing Vector Unique?",
      "topics": [
        "all_uniquev",
        "all_univ"
      ]
    },
    {
      "page": "as_base_data_frame",
      "title": "Convert Augmented Data Frame to Base R Data Frame",
      "topics": [
        "adf",
        "as_base_data_frame"
      ]
    },
    {
      "page": "as_base_data_frame2",
      "title": "Convert Augmented Data Frame to Base R Data Frame with Alternate Defaults",
      "topics": [
        "adf2",
        "as_base_data_frame2"
      ]
    },
    {
      "page": "as_labeled_data_frame",
      "title": "Assign Class labeled.data.frame to a Data Frame Object",
      "topics": [
        "aldf",
        "as_labeled_data_frame"
      ]
    },
    {
      "page": "as_num",
      "title": "Convert all Suitable Character Variables to Numeric",
      "topics": [
        "as_num"
      ]
    },
    {
      "page": "as_numv",
      "title": "Convert a Suitable Character Vector to Numeric",
      "topics": [
        "as_numv"
      ]
    },
    {
      "page": "axis_lab",
      "title": "Retrieve Variable's Name Label for Plot Labeling",
      "topics": [
        "alb",
        "axis_lab"
      ]
    },
    {
      "page": "check_any_lab_atts",
      "title": "Check Whether Data Frame Has Any labelr Attributes",
      "topics": [
        "check_any_lab_atts"
      ]
    },
    {
      "page": "check_class",
      "title": "Determine If Vector Belongs to Any of Specified Classes",
      "topics": [
        "check_class"
      ]
    },
    {
      "page": "check_irregular",
      "title": "Check Vector for \"Irregular\" Values",
      "topics": [
        "check_irregular"
      ]
    },
    {
      "page": "check_labs_att",
      "title": "Check Data Frame for Specified labelr Attribute",
      "topics": [
        "check_labs_att"
      ]
    },
    {
      "page": "clean_data_atts",
      "title": "\"Clean\" Data Frame Attributes",
      "topics": [
        "clean_data_atts"
      ]
    },
    {
      "page": "convert_labs",
      "title": "Convert from Haven-style to labelr Variable Value Labels",
      "topics": [
        "convert_labs"
      ]
    },
    {
      "page": "copy_var",
      "title": "Copy a Data Frame Variable and its Value labels to Another Variable",
      "topics": [
        "copy_var"
      ]
    },
    {
      "page": "drop_frame_lab",
      "title": "Remove Frame Label Attribute from a Data Frame",
      "topics": [
        "dfl",
        "drop_frame_lab"
      ]
    },
    {
      "page": "drop_name_labs",
      "title": "Remove Name Label Attributes from a Data Frame",
      "topics": [
        "dnl",
        "drop_name_labs"
      ]
    },
    {
      "page": "drop_val_labs",
      "title": "Drop Value Labels from One or More Variables",
      "topics": [
        "drop_val_labs",
        "dvl"
      ]
    },
    {
      "page": "drop_val1",
      "title": "Drop a Single Variable's Value Labels",
      "topics": [
        "drop_val1",
        "dvl1"
      ]
    },
    {
      "page": "fact2char",
      "title": "Convert All Factor Variables of a Data Frame to Character Variables",
      "topics": [
        "f2c",
        "fact2char"
      ]
    },
    {
      "page": "factor_to_lab_int",
      "title": "Convert a Factor Variable Column to Value-labeled Integer Variable Column",
      "topics": [
        "f2int",
        "factor_to_lab_int"
      ]
    },
    {
      "page": "flab",
      "title": "Filter Data Frame Rows Using Variable Value Labels",
      "topics": [
        "flab"
      ]
    },
    {
      "page": "get_all_factors",
      "title": "Put Data Frame Factor Level Information into a List",
      "topics": [
        "get_all_factors"
      ]
    },
    {
      "page": "get_all_lab_atts",
      "title": "Put all Data Frame label attributes into a List",
      "topics": [
        "get_all_lab_atts"
      ]
    },
    {
      "page": "get_factor_atts",
      "title": "Get Factor Attributes from a Labeled Data Frame",
      "topics": [
        "get_factor_atts"
      ]
    },
    {
      "page": "get_factor_info",
      "title": "Return Factor Attributes as a Data Frame",
      "topics": [
        "get_factor_info"
      ]
    },
    {
      "page": "get_frame_lab",
      "title": "Return a Data Frame's Frame Label",
      "topics": [
        "get_frame_lab",
        "gfl"
      ]
    },
    {
      "page": "get_labs_att",
      "title": "Return Specified Label Attribute, if Present",
      "topics": [
        "get_labs_att"
      ]
    },
    {
      "page": "get_name_labs",
      "title": "Return Look-up Table of Variable Names and Name Labels",
      "topics": [
        "get_name_labs",
        "gnl"
      ]
    },
    {
      "page": "get_val_lab1",
      "title": "Return Look-up Table of One Variable's Value Labels",
      "topics": [
        "get_val_lab1",
        "gvl1"
      ]
    },
    {
      "page": "get_val_labs",
      "title": "Return Look-up Table of Variable Values and Value Labels",
      "topics": [
        "get_val_labs",
        "gvl"
      ]
    },
    {
      "page": "greml",
      "title": "Determine Which Pattern Elements of One Character Vector Are Found in at Least One Element of A Second Character Vector",
      "topics": [
        "greml"
      ]
    },
    {
      "page": "gremlr",
      "title": "Determine Which Elements of a Character Vector Match at Least One Pattern Contained in Any of the Elements of Another Character Vector",
      "topics": [
        "gremlr"
      ]
    },
    {
      "page": "has_avl_labs",
      "title": "Is This a 'add_val_labs()'-style Value-labeled Variable (Column)?",
      "topics": [
        "h11l",
        "has_avl_labs",
        "hql"
      ]
    },
    {
      "page": "has_decv",
      "title": "Determine if Vector Has Decimals",
      "topics": [
        "has_decv"
      ]
    },
    {
      "page": "has_m1_labs",
      "title": "Is This an 'add_m1_lab()' Many-to-One-Style Value-labeled Variable (Column)?",
      "topics": [
        "has_m1_labs",
        "hm1l"
      ]
    },
    {
      "page": "has_quant_labs",
      "title": "Is this an 'add_quant_labs()'-style Value-labeled Variable (Column)?",
      "topics": [
        "has_quant_labs"
      ]
    },
    {
      "page": "has_val_labs",
      "title": "Is This a Value-labeled Variable (Column)?",
      "topics": [
        "has_val_labs",
        "hvl"
      ]
    },
    {
      "page": "headl",
      "title": "Return First Rows of a Data Frame with Value Labels Visible",
      "topics": [
        "headl"
      ]
    },
    {
      "page": "init_labs",
      "title": "Initialize labelr Attributes",
      "topics": [
        "init_labs"
      ]
    },
    {
      "page": "irregular2",
      "title": "Convert All \"Irregular\" Data Frame Values to NA or Other Specified Value",
      "topics": [
        "irregular2"
      ]
    },
    {
      "page": "irregular2v",
      "title": "Replace \"Irregular\" Values of a Vector with Some Other Value",
      "topics": [
        "irregular2v"
      ]
    },
    {
      "page": "is_numable",
      "title": "Test Whether Character Vector Is \"Suitable\" for Numeric Conversion",
      "topics": [
        "is_numable"
      ]
    },
    {
      "page": "lab_int_to_factor",
      "title": "Convert a Value-labeled Integer Variable Column to a Factor Variable Column",
      "topics": [
        "int2f",
        "lab_int_to_factor"
      ]
    },
    {
      "page": "make_demo_data",
      "title": "Construct a Fake Demographic Data Frame",
      "topics": [
        "make_demo_data"
      ]
    },
    {
      "page": "make_likert_data",
      "title": "Construct a Fake Likert Survey Response Data Frame",
      "topics": [
        "make_likert_data"
      ]
    },
    {
      "page": "recode_vals",
      "title": "Recode Values of a Free-standing Vector",
      "topics": [
        "recode_vals"
      ]
    },
    {
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