{
  "_id": "6a1d692a1d7bb097a0a4eba4",
  "Type": "Package",
  "Package": "datawizard",
  "Title": "Easy Data Wrangling and Statistical Transformations",
  "Version": "1.3.1.1",
  "Authors@R": "c(\nperson(\"Indrajeet\", \"Patil\", , \"patilindrajeet.science@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0003-1995-6531\")),\nperson(\"Etienne\", \"Bacher\", , \"etienne.bacher@protonmail.com\", role = c(\"aut\", \"cre\"),\ncomment = c(ORCID = \"0000-0002-9271-5075\")),\nperson(\"Dominique\", \"Makowski\", , \"dom.makowski@gmail.com\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-5375-9967\")),\nperson(\"Daniel\", \"Lüdecke\", , \"d.luedecke@uke.de\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-8895-3206\")),\nperson(\"Mattan S.\", \"Ben-Shachar\", , \"matanshm@post.bgu.ac.il\", role = \"aut\",\ncomment = c(ORCID = \"0000-0002-4287-4801\")),\nperson(\"Brenton M.\", \"Wiernik\", , \"brenton@wiernik.org\", role = \"aut\",\ncomment = c(ORCID = \"0000-0001-9560-6336\")),\nperson(\"Rémi\", \"Thériault\", , \"remi.theriault@mail.mcgill.ca\", role = \"ctb\",\ncomment = c(ORCID = \"0000-0003-4315-6788\")),\nperson(\"Thomas J.\", \"Faulkenberry\", , \"faulkenberry@tarleton.edu\", role = \"rev\"),\nperson(\"Robert\", \"Garrett\", , \"rcg4@illinois.edu\", role = \"rev\")\n)",
  "Maintainer": "Etienne Bacher <etienne.bacher@protonmail.com>",
  "Description": "A lightweight package to assist in key steps involved in\nany data analysis workflow: (1) wrangling the raw data to get\nit in the needed form, (2) applying preprocessing steps and\nstatistical transformations, and (3) compute statistical\nsummaries of data properties and distributions. It is also the\ndata wrangling backend for packages in 'easystats' ecosystem.\nReferences: Patil et al. (2022) <doi:10.21105/joss.04684>.",
  "License": "MIT + file LICENSE",
  "URL": "https://easystats.github.io/datawizard/",
  "BugReports": "https://github.com/easystats/datawizard/issues",
  "VignetteBuilder": "knitr",
  "Encoding": "UTF-8",
  "Language": "en-US",
  "Roxygen": "list(markdown = TRUE)",
  "RoxygenNote": "7.3.3",
  "Config/testthat/edition": "3",
  "Config/testthat/parallel": "true",
  "Config/Needs/website": "easystats/easystatstemplate",
  "Repository": "https://easystats.r-universe.dev",
  "Date/Publication": "2026-06-01 07:53:43 UTC",
  "RemoteUrl": "https://github.com/easystats/datawizard",
  "RemoteRef": "HEAD",
  "RemoteSha": "12ec8622481f6f075a227b1344f9b8d97669a333",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-06-01 10:53:40 UTC",
    "User": "root"
  },
  "Author": "Indrajeet Patil [aut] (ORCID: <https://orcid.org/0000-0003-1995-6531>),\nEtienne Bacher [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9271-5075>),\nDominique Makowski [aut] (ORCID:\n<https://orcid.org/0000-0001-5375-9967>),\nDaniel Lüdecke [aut] (ORCID: <https://orcid.org/0000-0002-8895-3206>),\nMattan S. Ben-Shachar [aut] (ORCID:\n<https://orcid.org/0000-0002-4287-4801>),\nBrenton M. Wiernik [aut] (ORCID:\n<https://orcid.org/0000-0001-9560-6336>),\nRémi Thériault [ctb] (ORCID: <https://orcid.org/0000-0003-4315-6788>),\nThomas J. Faulkenberry [rev],\nRobert Garrett [rev]",
  "MD5sum": "0c7dfd7e363d17b1f0e8d37b7ce917c1",
  "_user": "easystats",
  "_type": "src",
  "_file": "datawizard_1.3.1.1.tar.gz",
  "_fileid": "243631705a0271355b7edfd382db28b309656e97c96a866ddd5c25a241a75cf8",
  "_filesize": 1061513,
  "_sha256": "243631705a0271355b7edfd382db28b309656e97c96a866ddd5c25a241a75cf8",
  "_created": "2026-06-01T10:53:40.000Z",
  "_published": "2026-06-01T11:12:42.064Z",
  "_distro": "noble",
  "_jobs": [
    {
      "job": 78837129660,
      "time": 323,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7329717788"
    },
    {
      "job": 78837129649,
      "time": 369,
      "config": "linux-release-x86_64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7329731672"
    },
    {
      "job": 78837129664,
      "time": 207,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "7329951117"
    },
    {
      "job": 78837129662,
      "time": 249,
      "config": "macos-release-arm64",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7329906029"
    },
    {
      "job": 78836422743,
      "time": 270,
      "config": "source",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7329611654"
    },
    {
      "job": 78837129644,
      "time": 164,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7329666784"
    },
    {
      "job": 78837129659,
      "time": 317,
      "config": "windows-devel",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "7329716374"
    },
    {
      "job": 78837129655,
      "time": 274,
      "config": "windows-oldrel",
      "r": "4.5.3",
      "check": "WARNING",
      "artifact": "7329705562"
    },
    {
      "job": 78837129667,
      "time": 296,
      "config": "windows-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "7329709770"
    }
  ],
  "_buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861",
  "_status": "success",
  "_host": "GitHub-Actions",
  "_upstream": "https://github.com/easystats/datawizard",
  "_commit": {
    "id": "12ec8622481f6f075a227b1344f9b8d97669a333",
    "author": "github-actions[bot] <41898282+github-actions[bot]@users.noreply.github.com>",
    "committer": "GitHub <noreply@github.com>",
    "message": "Update `DESCRIPTION` to use latest 'easystats' dependencies (#686)\n\nCo-authored-by: IndrajeetPatil <11330453+IndrajeetPatil@users.noreply.github.com>",
    "time": 1780300423
  },
  "_maintainer": {
    "name": "Etienne Bacher",
    "email": "etienne.bacher@protonmail.com",
    "login": "etiennebacher",
    "mastodon": "@etiennebacher@mastodon.social",
    "bluesky": "@etiennebacher.bsky.social",
    "description": "",
    "uuid": 52219252,
    "orcid": "0000-0002-9271-5075"
  },
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.0",
      "role": "Depends"
    },
    {
      "package": "insight",
      "version": ">= 1.5.1",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "bayestestR",
      "role": "Suggests"
    },
    {
      "package": "boot",
      "role": "Suggests"
    },
    {
      "package": "BH",
      "role": "Suggests"
    },
    {
      "package": "brms",
      "role": "Suggests"
    },
    {
      "package": "curl",
      "role": "Suggests"
    },
    {
      "package": "data.table",
      "role": "Suggests"
    },
    {
      "package": "discovr",
      "role": "Suggests"
    },
    {
      "package": "dplyr",
      "version": ">= 1.1",
      "role": "Suggests"
    },
    {
      "package": "effectsize",
      "role": "Suggests"
    },
    {
      "package": "emmeans",
      "role": "Suggests"
    },
    {
      "package": "fixest",
      "role": "Suggests"
    },
    {
      "package": "gamm4",
      "role": "Suggests"
    },
    {
      "package": "ggplot2",
      "version": ">= 3.5.0",
      "role": "Suggests"
    },
    {
      "package": "gt",
      "role": "Suggests"
    },
    {
      "package": "haven",
      "role": "Suggests"
    },
    {
      "package": "httr",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "lme4",
      "role": "Suggests"
    },
    {
      "package": "mediation",
      "role": "Suggests"
    },
    {
      "package": "modelbased",
      "role": "Suggests"
    },
    {
      "package": "nanoparquet",
      "role": "Suggests"
    },
    {
      "package": "openssl",
      "role": "Suggests"
    },
    {
      "package": "parameters",
      "version": ">= 0.21.7",
      "role": "Suggests"
    },
    {
      "package": "performance",
      "version": ">= 0.14.0",
      "role": "Suggests"
    },
    {
      "package": "poorman",
      "version": ">= 0.2.7",
      "role": "Suggests"
    },
    {
      "package": "psych",
      "role": "Suggests"
    },
    {
      "package": "readxl",
      "role": "Suggests"
    },
    {
      "package": "readr",
      "role": "Suggests"
    },
    {
      "package": "rio",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "rstanarm",
      "role": "Suggests"
    },
    {
      "package": "see",
      "role": "Suggests"
    },
    {
      "package": "testthat",
      "version": ">= 3.2.1",
      "role": "Suggests"
    },
    {
      "package": "tibble",
      "role": "Suggests"
    },
    {
      "package": "tidyr",
      "role": "Suggests"
    },
    {
      "package": "tinytable",
      "version": ">= 0.13.0",
      "role": "Suggests"
    },
    {
      "package": "withr",
      "role": "Suggests"
    }
  ],
  "_owner": "easystats",
  "_selfowned": true,
  "_usedby": 132,
  "_updates": [
    {
      "week": "2025-22",
      "n": 3
    },
    {
      "week": "2025-26",
      "n": 1
    },
    {
      "week": "2025-27",
      "n": 1
    },
    {
      "week": "2025-28",
      "n": 5
    },
    {
      "week": "2025-29",
      "n": 3
    },
    {
      "week": "2025-32",
      "n": 2
    },
    {
      "week": "2025-36",
      "n": 4
    },
    {
      "week": "2025-37",
      "n": 3
    },
    {
      "week": "2025-39",
      "n": 1
    },
    {
      "week": "2025-40",
      "n": 1
    },
    {
      "week": "2025-41",
      "n": 6
    },
    {
      "week": "2025-46",
      "n": 3
    },
    {
      "week": "2025-48",
      "n": 1
    },
    {
      "week": "2025-49",
      "n": 1
    },
    {
      "week": "2026-01",
      "n": 1
    },
    {
      "week": "2026-05",
      "n": 1
    },
    {
      "week": "2026-07",
      "n": 1
    },
    {
      "week": "2026-09",
      "n": 1
    },
    {
      "week": "2026-10",
      "n": 1
    },
    {
      "week": "2026-11",
      "n": 1
    },
    {
      "week": "2026-13",
      "n": 1
    },
    {
      "week": "2026-16",
      "n": 1
    },
    {
      "week": "2026-17",
      "n": 2
    },
    {
      "week": "2026-18",
      "n": 1
    },
    {
      "week": "2026-19",
      "n": 1
    },
    {
      "week": "2026-21",
      "n": 1
    },
    {
      "week": "2026-23",
      "n": 1
    }
  ],
  "_tags": [
    {
      "name": "v1.2.0",
      "date": "2025-07-17"
    },
    {
      "name": "v1.3.0",
      "date": "2025-10-11"
    },
    {
      "name": "v1.3.1",
      "date": "2026-04-26"
    }
  ],
  "_topics": [
    "data",
    "dplyr",
    "hacktoberfest",
    "janitor",
    "manipulation",
    "reshape",
    "tidyr",
    "wrangling"
  ],
  "_stars": 235,
  "_contributors": [
    {
      "user": "strengejacke",
      "count": 672,
      "uuid": 26301769
    },
    {
      "user": "indrajeetpatil",
      "count": 364,
      "uuid": 11330453
    },
    {
      "user": "etiennebacher",
      "count": 233,
      "uuid": 52219252
    },
    {
      "user": "mattansb",
      "count": 33,
      "uuid": 35330040
    },
    {
      "user": "dominiquemakowski",
      "count": 25,
      "uuid": 8875533
    },
    {
      "user": "bwiernik",
      "count": 16,
      "uuid": 4773225
    },
    {
      "user": "rempsyc",
      "count": 6,
      "uuid": 13123390
    },
    {
      "user": "copilot",
      "count": 1,
      "uuid": 198982749
    }
  ],
  "_userbio": {
    "uuid": 47102598,
    "type": "organization",
    "name": "easystats",
    "description": "Make R stats easy!"
  },
  "_downloads": {
    "count": 172645,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/datawizard"
  },
  "_devurl": "https://github.com/easystats/datawizard",
  "_pkgdown": "https://easystats.github.io/datawizard/",
  "_searchresults": 531,
  "_rbuild": "4.6.0",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/datawizard.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "manual.pdf"
  ],
  "_homeurl": "https://github.com/easystats/datawizard",
  "_realowner": "easystats",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.1.0",
      "date": "2021-06-18"
    },
    {
      "version": "0.2.0",
      "date": "2021-08-17"
    },
    {
      "version": "0.2.0.1",
      "date": "2021-09-02"
    },
    {
      "version": "0.2.1",
      "date": "2021-10-04"
    },
    {
      "version": "0.2.2",
      "date": "2022-01-04"
    },
    {
      "version": "0.2.3",
      "date": "2022-01-26"
    },
    {
      "version": "0.3.0",
      "date": "2022-03-03"
    },
    {
      "version": "0.4.0",
      "date": "2022-03-30"
    },
    {
      "version": "0.4.1",
      "date": "2022-05-16"
    },
    {
      "version": "0.5.0",
      "date": "2022-08-07"
    },
    {
      "version": "0.5.1",
      "date": "2022-08-17"
    },
    {
      "version": "0.6.0",
      "date": "2022-09-15"
    },
    {
      "version": "0.6.1",
      "date": "2022-09-25"
    },
    {
      "version": "0.6.2",
      "date": "2022-10-05"
    },
    {
      "version": "0.6.3",
      "date": "2022-10-22"
    },
    {
      "version": "0.6.4",
      "date": "2022-11-19"
    },
    {
      "version": "0.6.5",
      "date": "2022-12-15"
    },
    {
      "version": "0.7.0",
      "date": "2023-03-22"
    },
    {
      "version": "0.7.1",
      "date": "2023-04-03"
    },
    {
      "version": "0.8.0",
      "date": "2023-06-16"
    },
    {
      "version": "0.9.0",
      "date": "2023-09-15"
    },
    {
      "version": "0.9.1",
      "date": "2023-12-21"
    },
    {
      "version": "0.10.0",
      "date": "2024-03-26"
    },
    {
      "version": "0.11.0",
      "date": "2024-06-05"
    },
    {
      "version": "0.12.0",
      "date": "2024-07-11"
    },
    {
      "version": "0.12.1",
      "date": "2024-07-15"
    },
    {
      "version": "0.12.2",
      "date": "2024-07-21"
    },
    {
      "version": "0.12.3",
      "date": "2024-09-02"
    },
    {
      "version": "0.13.0",
      "date": "2024-10-05"
    },
    {
      "version": "1.0.0",
      "date": "2025-01-10"
    },
    {
      "version": "1.0.1",
      "date": "2025-03-07"
    },
    {
      "version": "1.0.2",
      "date": "2025-03-24"
    },
    {
      "version": "1.1.0",
      "date": "2025-05-09"
    },
    {
      "version": "1.2.0",
      "date": "2025-07-17"
    },
    {
      "version": "1.3.0",
      "date": "2025-10-11"
    },
    {
      "version": "1.3.1",
      "date": "2026-04-26"
    }
  ],
  "_exports": [
    "adjust",
    "as.prop.table",
    "assign_labels",
    "categorize",
    "center",
    "centre",
    "change_scale",
    "coef_var",
    "coerce_to_numeric",
    "colnames_to_row",
    "column_as_rownames",
    "contr.deviation",
    "convert_na_to",
    "convert_to_na",
    "data_addprefix",
    "data_addsuffix",
    "data_adjust",
    "data_arrange",
    "data_codebook",
    "data_duplicated",
    "data_extract",
    "data_filter",
    "data_group",
    "data_join",
    "data_match",
    "data_merge",
    "data_modify",
    "data_partition",
    "data_peek",
    "data_read",
    "data_relocate",
    "data_remove",
    "data_rename",
    "data_rename_rows",
    "data_reorder",
    "data_replicate",
    "data_restoretype",
    "data_rotate",
    "data_seek",
    "data_select",
    "data_separate",
    "data_summary",
    "data_tabulate",
    "data_to_long",
    "data_to_wide",
    "data_transpose",
    "data_ungroup",
    "data_unique",
    "data_unite",
    "data_write",
    "degroup",
    "demean",
    "describe_distribution",
    "detrend",
    "display",
    "distribution_coef_var",
    "distribution_mode",
    "empty_columns",
    "empty_rows",
    "extract_column_names",
    "find_columns",
    "kurtosis",
    "labels_to_levels",
    "mean_sd",
    "means_by_group",
    "median_mad",
    "normalize",
    "print_html",
    "print_md",
    "ranktransform",
    "recode_into",
    "recode_values",
    "remove_empty",
    "remove_empty_columns",
    "remove_empty_rows",
    "replace_nan_inf",
    "rescale",
    "rescale_weights",
    "reshape_ci",
    "reshape_longer",
    "reshape_wider",
    "reverse",
    "reverse_scale",
    "row_count",
    "row_means",
    "row_sums",
    "row_to_colnames",
    "rowid_as_column",
    "rownames_as_column",
    "skewness",
    "slide",
    "smoothness",
    "standardise",
    "standardize",
    "text_concatenate",
    "text_format",
    "text_fullstop",
    "text_lastchar",
    "text_paste",
    "text_remove",
    "text_wrap",
    "to_factor",
    "to_numeric",
    "unnormalize",
    "unstandardise",
    "unstandardize",
    "visualisation_recipe",
    "weighted_mad",
    "weighted_mean",
    "weighted_median",
    "weighted_sd",
    "winsorize"
  ],
  "_datasets": [
    {
      "name": "efc",
      "title": "Sample dataset from the EFC Survey",
      "object": "efc",
      "file": "efc.RData",
      "class": [
        "data.frame"
      ],
      "fields": [
        "c12hour",
        "e16sex",
        "e42dep",
        "c172code",
        "neg_c_7"
      ],
      "rows": 100,
      "table": true,
      "tojson": true
    },
    {
      "name": "nhanes_sample",
      "title": "Sample dataset from the National Health and Nutrition Examination Survey",
      "object": "nhanes_sample",
      "file": "nhanes_sample.RData",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "total",
        "age",
        "RIAGENDR",
        "RIDRETH1",
        "SDMVPSU",
        "SDMVSTRA",
        "WTINT2YR"
      ],
      "rows": 2992,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "adjust",
      "title": "Adjust data for the effect of other variable(s)",
      "topics": [
        "adjust",
        "data_adjust"
      ]
    },
    {
      "page": "as.prop.table",
      "title": "Convert a crosstable to a frequency or a propensity table",
      "topics": [
        "as.data.frame.datawizard_tables",
        "as.prop.table",
        "as.prop.table.datawizard_crosstab",
        "as.table.datawizard_table"
      ]
    },
    {
      "page": "assign_labels",
      "title": "Assign variable and value labels",
      "topics": [
        "assign_labels",
        "assign_labels.data.frame",
        "assign_labels.numeric"
      ]
    },
    {
      "page": "categorize",
      "title": "Recode (or \"cut\" / \"bin\") data into groups of values.",
      "topics": [
        "categorize",
        "categorize.data.frame",
        "categorize.numeric"
      ]
    },
    {
      "page": "center",
      "title": "Centering (Grand-Mean Centering)",
      "topics": [
        "center",
        "center.data.frame",
        "center.numeric",
        "centre"
      ]
    },
    {
      "page": "coef_var",
      "title": "Compute the coefficient of variation",
      "topics": [
        "coef_var",
        "coef_var.numeric",
        "distribution_coef_var",
        "distribution_cv"
      ]
    },
    {
      "page": "coerce_to_numeric",
      "title": "Convert to Numeric (if possible)",
      "topics": [
        "coerce_to_numeric"
      ]
    },
    {
      "page": "contr.deviation",
      "title": "Deviation Contrast Matrix",
      "topics": [
        "contr.deviation"
      ]
    },
    {
      "page": "convert_na_to",
      "title": "Replace missing values in a variable or a data frame.",
      "topics": [
        "convert_na_to",
        "convert_na_to.character",
        "convert_na_to.data.frame",
        "convert_na_to.numeric"
      ]
    },
    {
      "page": "convert_to_na",
      "title": "Convert non-missing values in a variable into missing values.",
      "topics": [
        "convert_to_na",
        "convert_to_na.data.frame",
        "convert_to_na.factor",
        "convert_to_na.numeric"
      ]
    },
    {
      "page": "data_prefix_suffix",
      "title": "Add a prefix or suffix to column names",
      "topics": [
        "data_addprefix",
        "data_addsuffix"
      ]
    },
    {
      "page": "data_arrange",
      "title": "Arrange rows by column values",
      "topics": [
        "data_arrange"
      ]
    },
    {
      "page": "data_codebook",
      "title": "Generate a codebook of a data frame.",
      "topics": [
        "data_codebook",
        "display.data_codebook",
        "print_html.data_codebook"
      ]
    },
    {
      "page": "data_duplicated",
      "title": "Extract all duplicates",
      "topics": [
        "data_duplicated"
      ]
    },
    {
      "page": "data_extract",
      "title": "Extract one or more columns or elements from an object",
      "topics": [
        "data_extract",
        "data_extract.data.frame"
      ]
    },
    {
      "page": "data_group",
      "title": "Create a grouped data frame",
      "topics": [
        "data_group",
        "data_ungroup"
      ]
    },
    {
      "page": "data_match",
      "title": "Return filtered or sliced data frame, or row indices",
      "topics": [
        "data_filter",
        "data_match"
      ]
    },
    {
      "page": "data_merge",
      "title": "Merge (join) two data frames, or a list of data frames",
      "topics": [
        "data_join",
        "data_merge",
        "data_merge.data.frame",
        "data_merge.list"
      ]
    },
    {
      "page": "data_modify",
      "title": "Create new variables in a data frame",
      "topics": [
        "data_modify",
        "data_modify.data.frame"
      ]
    },
    {
      "page": "data_partition",
      "title": "Partition data",
      "topics": [
        "data_partition"
      ]
    },
    {
      "page": "data_peek",
      "title": "Peek at values and type of variables in a data frame",
      "topics": [
        "data_peek",
        "data_peek.data.frame"
      ]
    },
    {
      "page": "data_read",
      "title": "Read (import) data files from various sources",
      "topics": [
        "data_read",
        "data_write"
      ]
    },
    {
      "page": "data_relocate",
      "title": "Relocate (reorder) columns of a data frame",
      "topics": [
        "data_relocate",
        "data_remove",
        "data_reorder"
      ]
    },
    {
      "page": "data_rename",
      "title": "Rename columns and variable names",
      "topics": [
        "data_rename",
        "data_rename_rows"
      ]
    },
    {
      "page": "data_replicate",
      "title": "Expand (i.e. replicate rows) a data frame",
      "topics": [
        "data_replicate"
      ]
    },
    {
      "page": "data_restoretype",
      "title": "Restore the type of columns according to a reference data frame",
      "topics": [
        "data_restoretype"
      ]
    },
    {
      "page": "data_rotate",
      "title": "Rotate a data frame",
      "topics": [
        "data_rotate",
        "data_transpose"
      ]
    },
    {
      "page": "data_seek",
      "title": "Find variables by their names, variable or value labels",
      "topics": [
        "data_seek"
      ]
    },
    {
      "page": "extract_column_names",
      "title": "Find or get columns in a data frame based on search patterns",
      "topics": [
        "data_select",
        "extract_column_names",
        "find_columns"
      ]
    },
    {
      "page": "data_separate",
      "title": "Separate single variable into multiple variables",
      "topics": [
        "data_separate"
      ]
    },
    {
      "page": "data_summary",
      "title": "Summarize data",
      "topics": [
        "data_summary",
        "data_summary.data.frame"
      ]
    },
    {
      "page": "data_tabulate",
      "title": "Create frequency and crosstables of variables",
      "topics": [
        "data_tabulate",
        "data_tabulate.data.frame",
        "data_tabulate.default",
        "display.datawizard_table",
        "print.datawizard_table"
      ]
    },
    {
      "page": "data_to_long",
      "title": "Reshape (pivot) data from wide to long",
      "topics": [
        "data_to_long",
        "reshape_longer"
      ]
    },
    {
      "page": "data_to_wide",
      "title": "Reshape (pivot) data from long to wide",
      "topics": [
        "data_to_wide",
        "reshape_wider"
      ]
    },
    {
      "page": "data_unique",
      "title": "Keep only one row from all with duplicated IDs",
      "topics": [
        "data_unique"
      ]
    },
    {
      "page": "data_unite",
      "title": "Unite (\"merge\") multiple variables",
      "topics": [
        "data_unite"
      ]
    },
    {
      "page": "demean",
      "title": "Compute group-meaned and de-meaned variables",
      "topics": [
        "degroup",
        "demean",
        "detrend"
      ]
    },
    {
      "page": "describe_distribution",
      "title": "Describe a distribution",
      "topics": [
        "describe_distribution",
        "describe_distribution.data.frame",
        "describe_distribution.factor",
        "describe_distribution.numeric"
      ]
    },
    {
      "page": "distribution_mode",
      "title": "Compute mode for a statistical distribution",
      "topics": [
        "distribution_mode"
      ]
    },
    {
      "page": "efc",
      "title": "Sample dataset from the EFC Survey",
      "topics": [
        "efc"
      ]
    },
    {
      "page": "labels_to_levels",
      "title": "Convert value labels into factor levels",
      "topics": [
        "labels_to_levels",
        "labels_to_levels.data.frame",
        "labels_to_levels.factor"
      ]
    },
    {
      "page": "makepredictcall.dw_transformer",
      "title": "Utility Function for Safe Prediction with 'datawizard' transformers",
      "concept": [
        "datawizard-transformers"
      ],
      "topics": [
        "makepredictcall.dw_transformer"
      ]
    },
    {
      "page": "mean_sd",
      "title": "Summary Helpers",
      "topics": [
        "mean_sd",
        "median_mad"
      ]
    },
    {
      "page": "means_by_group",
      "title": "Summary of mean values by group",
      "topics": [
        "means_by_group",
        "means_by_group.data.frame",
        "means_by_group.numeric"
      ]
    },
    {
      "page": "nhanes_sample",
      "title": "Sample dataset from the National Health and Nutrition Examination Survey",
      "topics": [
        "nhanes_sample"
      ]
    },
    {
      "page": "normalize",
      "title": "Normalize numeric variable to 0-1 range",
      "concept": [
        "transform utilities"
      ],
      "topics": [
        "normalize",
        "normalize.data.frame",
        "normalize.numeric",
        "unnormalize",
        "unnormalize.data.frame",
        "unnormalize.grouped_df",
        "unnormalize.numeric"
      ]
    },
    {
      "page": "ranktransform",
      "title": "(Signed) rank transformation",
      "concept": [
        "transform utilities"
      ],
      "topics": [
        "ranktransform",
        "ranktransform.data.frame",
        "ranktransform.numeric"
      ]
    },
    {
      "page": "recode_into",
      "title": "Recode values from one or more variables into a new variable",
      "topics": [
        "recode_into"
      ]
    },
    {
      "page": "recode_values",
      "title": "Recode old values of variables into new values",
      "topics": [
        "recode_values",
        "recode_values.data.frame",
        "recode_values.numeric"
      ]
    },
    {
      "page": "remove_empty",
      "title": "Return or remove variables or observations that are completely missing",
      "topics": [
        "empty_columns",
        "empty_rows",
        "remove_empty",
        "remove_empty_columns",
        "remove_empty_rows"
      ]
    },
    {
      "page": "replace_nan_inf",
      "title": "Convert infinite or 'NaN' values into 'NA'",
      "topics": [
        "replace_nan_inf"
      ]
    },
    {
      "page": "rescale",
      "title": "Rescale Variables to a New Range",
      "concept": [
        "transform utilities"
      ],
      "topics": [
        "change_scale",
        "rescale",
        "rescale.data.frame",
        "rescale.numeric"
      ]
    },
    {
      "page": "rescale_weights",
      "title": "Rescale design weights for multilevel analysis",
      "topics": [
        "rescale_weights"
      ]
    },
    {
      "page": "reshape_ci",
      "title": "Reshape CI between wide/long formats",
      "topics": [
        "reshape_ci"
      ]
    },
    {
      "page": "reverse",
      "title": "Reverse-Score Variables",
      "concept": [
        "transform utilities"
      ],
      "topics": [
        "reverse",
        "reverse.data.frame",
        "reverse.numeric",
        "reverse_scale"
      ]
    },
    {
      "page": "row_count",
      "title": "Count specific values row-wise",
      "topics": [
        "row_count"
      ]
    },
    {
      "page": "row_means",
      "title": "Row means or sums (optionally with minimum amount of valid values)",
      "topics": [
        "row_means",
        "row_sums"
      ]
    },
    {
      "page": "colnames",
      "title": "Tools for working with column names",
      "topics": [
        "colnames_to_row",
        "row_to_colnames"
      ]
    },
    {
      "page": "rownames",
      "title": "Tools for working with row names or row ids",
      "topics": [
        "column_as_rownames",
        "rowid_as_column",
        "rownames_as_column"
      ]
    },
    {
      "page": "skewness",
      "title": "Compute Skewness and (Excess) Kurtosis",
      "topics": [
        "kurtosis",
        "kurtosis.numeric",
        "print.parameters_kurtosis",
        "print.parameters_skewness",
        "skewness",
        "skewness.numeric",
        "summary.parameters_kurtosis",
        "summary.parameters_skewness"
      ]
    },
    {
      "page": "slide",
      "title": "Shift numeric value range",
      "topics": [
        "slide",
        "slide.data.frame",
        "slide.numeric"
      ]
    },
    {
      "page": "smoothness",
      "title": "Quantify the smoothness of a vector",
      "topics": [
        "smoothness"
      ]
    },
    {
      "page": "standardize",
      "title": "Standardization (Z-scoring)",
      "concept": [
        "standardize",
        "transform utilities"
      ],
      "topics": [
        "standardise",
        "standardize",
        "standardize.data.frame",
        "standardize.factor",
        "standardize.numeric",
        "unstandardise",
        "unstandardize",
        "unstandardize.data.frame",
        "unstandardize.numeric"
      ]
    },
    {
      "page": "standardize.default",
      "title": "Re-fit a model with standardized data",
      "concept": [
        "standardize"
      ],
      "topics": [
        "standardize.default",
        "standardize_models"
      ]
    },
    {
      "page": "text_format",
      "title": "Convenient text formatting functionalities",
      "topics": [
        "text_concatenate",
        "text_format",
        "text_fullstop",
        "text_lastchar",
        "text_paste",
        "text_remove",
        "text_wrap"
      ]
    },
    {
      "page": "to_factor",
      "title": "Convert data to factors",
      "topics": [
        "to_factor",
        "to_factor.data.frame",
        "to_factor.numeric"
      ]
    },
    {
      "page": "to_numeric",
      "title": "Convert data to numeric",
      "topics": [
        "to_numeric",
        "to_numeric.data.frame"
      ]
    },
    {
      "page": "visualisation_recipe",
      "title": "Prepare objects for visualisation",
      "topics": [
        "visualisation_recipe"
      ]
    },
    {
      "page": "weighted_mean",
      "title": "Weighted Mean, Median, SD, and MAD",
      "topics": [
        "weighted_mad",
        "weighted_mean",
        "weighted_median",
        "weighted_sd"
      ]
    },
    {
      "page": "winsorize",
      "title": "Winsorize data",
      "topics": [
        "winsorize",
        "winsorize.numeric"
      ]
    }
  ],
  "_pkglogo": "https://github.com/easystats/datawizard/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/easystats/datawizard/raw/HEAD/README.md",
  "_rundeps": [
    "insight"
  ],
  "_vignettes": [
    {
      "source": "overview_of_vignettes.Rmd",
      "filename": "overview_of_vignettes.html",
      "title": "Overview of Vignettes",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Function Overview",
        "Data Preparation",
        "Statistical Transformations"
      ],
      "created": "2021-05-26 14:50:09",
      "modified": "2024-09-02 12:24:57",
      "commits": 4
    }
  ],
  "_score": 14.906443382982266,
  "_indexed": true,
  "_nocasepkg": "datawizard",
  "_universes": [
    "easystats",
    "etiennebacher"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "1.3.1.1",
      "date": "2026-06-01T10:56:57.000Z",
      "distro": "noble",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "e60c23a73755edcf03f960f10fde3bbe8d6a803c4e4d4e757ec185e5f2e6f058",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    },
    {
      "r": "4.6.0",
      "os": "linux",
      "version": "1.3.1.1",
      "date": "2026-06-01T10:57:04.000Z",
      "distro": "noble",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "d956c438a1e124bced24cff183af3f65b72cc494e9470984a470e8d71e967036",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "1.3.1.1",
      "date": "2026-06-01T11:10:07.000Z",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "45bcf920b9a23052dfd93e3f04728e49ac93e6f5cb0d85cb98d61e6daf22c950",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    },
    {
      "r": "4.6.0",
      "os": "mac",
      "version": "1.3.1.1",
      "date": "2026-06-01T11:07:29.000Z",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "992e7c7a5274f3414c363695461adce4f767f3430bbeab2545aec86a522550d6",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "1.3.1.1",
      "date": "2026-06-01T10:56:55.000Z",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "13f42556f0514921e625eb454f4086b399f520614de695e9e6fee33fd5d3cfbf",
      "status": "success",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "1.3.1.1",
      "date": "2026-06-01T10:56:07.000Z",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "6cca12d1b2c079307a9a55b7b5c649e526e64f89f4e463c214418dd50dcda6c5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "1.3.1.1",
      "date": "2026-06-01T10:55:50.000Z",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "b5cc2407fd3423ec502c52e64f0c3ac10867e452c01e694451a676620e2c4f48",
      "status": "success",
      "check": "WARNING",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    },
    {
      "r": "4.6.0",
      "os": "win",
      "version": "1.3.1.1",
      "date": "2026-06-01T10:55:43.000Z",
      "commit": "12ec8622481f6f075a227b1344f9b8d97669a333",
      "fileid": "e8108f89be1cd958edef3b384e9538847edad2c10ac43abbd797523a24bb0ce1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/easystats/actions/runs/26750328861"
    }
  ]
}