{
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  "Package": "quest",
  "Type": "Package",
  "Title": "Prepare Questionnaire Data for Analysis",
  "Version": "0.2.1",
  "Authors@R": "person(given = \"David\",\nfamily = \"Disabato\",\nrole = c(\"aut\", \"cre\"),\nemail = \"ddisab01@gmail.com\",\ncomment = c(ORCID = \"0000-0001-7094-4996\"))",
  "Description": "Offers a suite of functions to prepare questionnaire data\nfor analysis (perhaps other types of data as well). By data\npreparation, I mean data analytic tasks to get your raw data\nready for statistical modeling (e.g., regression). There are\nfunctions to investigate missing data, reshape data, validate\nresponses, recode variables, score questionnaires, center\nvariables, aggregate by groups, shift scores (i.e., leads or\nlags), etc. It provides functions for both single level and\nmultilevel (i.e., grouped) data. With a few exceptions (e.g.,\nncases()), functions without an \"s\" at the end of their primary\nword (e.g., center_by()) act on atomic vectors, while functions\nwith an \"s\" at the end of their primary word (e.g.,\ncenters_by()) act on multiple columns of a data.frame.",
  "License": "GPL (>= 2)",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "Collate": "'quest_functions.R' 'psymet_functions.R'\n'describes_functions.R' 'diary_functions.R' 'mia_functions.R'",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-05-21 07:06:49 UTC",
    "User": "root"
  },
  "Author": "David Disabato [aut, cre] (ORCID:\n<https://orcid.org/0000-0001-7094-4996>)",
  "Maintainer": "David Disabato <ddisab01@gmail.com>",
  "Config/pak/sysreqs": "cmake make libicu-dev",
  "Repository": "https://ddisab01.r-universe.dev",
  "Date/Publication": "2025-09-14 17:40:02 UTC",
  "RemoteUrl": "https://github.com/cran/quest",
  "RemoteRef": "HEAD",
  "RemoteSha": "84dab95978734892c530f3939ac79b88c5b84898",
  "MD5sum": "873fcc50b6f4476fea1b3cd7c7b39cd0",
  "_user": "ddisab01",
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  "_created": "2026-05-21T07:06:49.000Z",
  "_published": "2026-05-21T21:01:03.107Z",
  "_distro": "noble",
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  "_buildurl": "https://github.com/r-universe/ddisab01/actions/runs/26210868691",
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  "_upstream": "https://github.com/cran/quest",
  "_commit": {
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    "author": "David Disabato <ddisab01@gmail.com>",
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      "package": "str2str",
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      "package": "abind",
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      "package": "checkmate",
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      "package": "multilevel",
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    {
      "package": "lavaan",
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    {
      "package": "reshape",
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    },
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      "package": "psychTools",
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      "package": "lmeInfo",
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  "_rbuild": "4.6.0",
  "_assets": [
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      "date": "2023-12-05"
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  "_exports": [
    ".cronbach",
    ".cronbachs",
    ".gtheory",
    ".gtheorys",
    "add_sig",
    "add_sig_cor",
    "agg",
    "agg_dfm",
    "aggs",
    "amd_bi",
    "amd_multi",
    "amd_uni",
    "auto_by",
    "ave_dfm",
    "boot_ci",
    "by2",
    "center",
    "center_by",
    "centers",
    "centers_by",
    "change",
    "change_by",
    "changes",
    "changes_by",
    "colMeans_if",
    "colNA",
    "colSums_if",
    "composite",
    "composites",
    "confint2",
    "confint2.boot",
    "confint2.default",
    "cor_by",
    "cor_miss",
    "cor_ml",
    "corp",
    "corp_by",
    "corp_miss",
    "corp_ml",
    "covs_test",
    "cronbach",
    "cronbachs",
    "decompose",
    "decomposes",
    "deff",
    "deffs",
    "describe_ml",
    "dum2nom",
    "freq",
    "freq_by",
    "freqs",
    "freqs_by",
    "gtheory",
    "gtheory_ml",
    "gtheorys",
    "gtheorys_ml",
    "icc_11",
    "icc_all_by",
    "iccs_11",
    "length_by",
    "lengths_by",
    "long2wide",
    "make.dummy",
    "make.dumNA",
    "make.fun_if",
    "make.latent",
    "make.product",
    "mean_change",
    "mean_compare",
    "mean_diff",
    "mean_if",
    "mean_test",
    "means_change",
    "means_compare",
    "means_diff",
    "means_test",
    "mode2",
    "n_compare",
    "ncases",
    "ncases_by",
    "ncases_desc",
    "ncases_ml",
    "ngrp",
    "nhst",
    "nom2dum",
    "nrow_by",
    "nrow_ml",
    "partial.cases",
    "pomp",
    "pomps",
    "prop_compare",
    "prop_diff",
    "prop_test",
    "props_compare",
    "props_diff",
    "props_test",
    "recode2other",
    "recodes",
    "renames",
    "reorders",
    "revalid",
    "revalids",
    "reverse",
    "reverses",
    "rowMeans_if",
    "rowNA",
    "rowsNA",
    "rowSums_if",
    "score",
    "scores",
    "shift",
    "shift_by",
    "shifts",
    "shifts_by",
    "sum_if",
    "summary_ucfa",
    "tapply2",
    "ucfa",
    "valid_test",
    "valids_test",
    "vecNA",
    "wide2long",
    "winsor",
    "winsors"
  ],
  "_help": [
    {
      "page": "quest-package",
      "title": "Pre-processing Questionnaire Data",
      "topics": [
        "quest-package",
        "quest"
      ]
    },
    {
      "page": "dot-cronbach",
      "title": "Bootstrap Function for 'cronbach()' Function",
      "topics": [
        ".cronbach"
      ]
    },
    {
      "page": "dot-cronbachs",
      "title": "Bootstrap Function for 'cronbachs()' Function",
      "topics": [
        ".cronbachs"
      ]
    },
    {
      "page": "dot-gtheory",
      "title": "Bootstrap Function for 'gtheory()' Function",
      "topics": [
        ".gtheory"
      ]
    },
    {
      "page": "dot-gtheorys",
      "title": "Bootstrap Function for 'gtheorys()' Function",
      "topics": [
        ".gtheorys"
      ]
    },
    {
      "page": "add_sig",
      "title": "Add Significance Symbols to a (Atomic) Vector, Matrix, or Array",
      "topics": [
        "add_sig"
      ]
    },
    {
      "page": "add_sig_cor",
      "title": "Add Significance Symbols to a Correlation Matrix",
      "topics": [
        "add_sig_cor"
      ]
    },
    {
      "page": "agg",
      "title": "Aggregate an Atomic Vector by Group",
      "topics": [
        "agg"
      ]
    },
    {
      "page": "agg_dfm",
      "title": "Data Information by Group",
      "topics": [
        "agg_dfm"
      ]
    },
    {
      "page": "aggs",
      "title": "Aggregate Data by Group",
      "topics": [
        "aggs"
      ]
    },
    {
      "page": "amd_bi",
      "title": "Amount of Missing Data - Bivariate (Pairwise Deletion)",
      "topics": [
        "amd_bi"
      ]
    },
    {
      "page": "amd_multi",
      "title": "Amount of Missing Data - Multivariate (Listwise Deletion)",
      "topics": [
        "amd_multi"
      ]
    },
    {
      "page": "amd_uni",
      "title": "Amount of Missing Data - Univariate",
      "topics": [
        "amd_uni"
      ]
    },
    {
      "page": "auto_by",
      "title": "Autoregressive Coefficient by Group",
      "topics": [
        "auto_by"
      ]
    },
    {
      "page": "ave_dfm",
      "title": "Repeated Group Statistics for a Data-Frame",
      "topics": [
        "ave_dfm"
      ]
    },
    {
      "page": "boot_ci",
      "title": "Bootstrapped Confidence Intervals from a Matrix of Coefficients",
      "topics": [
        "boot_ci"
      ]
    },
    {
      "page": "by2",
      "title": "Apply a Function to Data by Group",
      "topics": [
        "by2"
      ]
    },
    {
      "page": "center",
      "title": "Centering and/or Standardizing a Numeric Vector",
      "topics": [
        "center"
      ]
    },
    {
      "page": "center_by",
      "title": "Centering and/or Standardizing a Numeric Vector by Group",
      "topics": [
        "center_by"
      ]
    },
    {
      "page": "centers",
      "title": "Centering and/or Standardizing Numeric Data",
      "topics": [
        "centers"
      ]
    },
    {
      "page": "centers_by",
      "title": "Centering and/or Standardizing Numeric Data by Group",
      "topics": [
        "centers_by"
      ]
    },
    {
      "page": "change",
      "title": "Change Score from a Numeric Vector",
      "topics": [
        "change"
      ]
    },
    {
      "page": "change_by",
      "title": "Change Scores from a Numeric Vector by Group",
      "topics": [
        "change_by"
      ]
    },
    {
      "page": "changes",
      "title": "Change Scores from Numeric Data",
      "topics": [
        "changes"
      ]
    },
    {
      "page": "changes_by",
      "title": "Change Scores from Numeric Data by Group",
      "topics": [
        "changes_by"
      ]
    },
    {
      "page": "colMeans_if",
      "title": "Column Means Conditional on Frequency of Observed Values",
      "topics": [
        "colMeans_if"
      ]
    },
    {
      "page": "colNA",
      "title": "Frequency of Missing Values by Column",
      "topics": [
        "colNA"
      ]
    },
    {
      "page": "colSums_if",
      "title": "Column Sums Conditional on Frequency of Observed Values",
      "topics": [
        "colSums_if"
      ]
    },
    {
      "page": "composite",
      "title": "Composite Reliability of a Score",
      "topics": [
        "composite"
      ]
    },
    {
      "page": "composites",
      "title": "Composite Reliability of Multiple Scores",
      "topics": [
        "composites"
      ]
    },
    {
      "page": "confint2",
      "title": "Confidence Intervals from Statistical Information",
      "topics": [
        "confint2"
      ]
    },
    {
      "page": "confint2.boot",
      "title": "Bootstrapped Confidence Intervals from a 'boot' Object",
      "topics": [
        "confint2.boot"
      ]
    },
    {
      "page": "confint2.default",
      "title": "Confidence Intervals from Parameter Estimates and Standard Errors",
      "topics": [
        "confint2.default"
      ]
    },
    {
      "page": "cor_by",
      "title": "Correlation Matrix by Group",
      "topics": [
        "cor_by"
      ]
    },
    {
      "page": "cor_miss",
      "title": "Point-biserial Correlations of Missingness",
      "topics": [
        "cor_miss"
      ]
    },
    {
      "page": "cor_ml",
      "title": "Multilevel Correlation Matrices",
      "topics": [
        "cor_ml"
      ]
    },
    {
      "page": "corp",
      "title": "Bivariate Correlations with Significant Symbols",
      "topics": [
        "corp"
      ]
    },
    {
      "page": "corp_by",
      "title": "Bivariate Correlations with Significant Symbols by Group",
      "topics": [
        "corp_by"
      ]
    },
    {
      "page": "corp_miss",
      "title": "Point-biserial Correlations of Missingness With Significant Symbols",
      "topics": [
        "corp_miss"
      ]
    },
    {
      "page": "corp_ml",
      "title": "Multilevel Correlation Matrices with Significant Symbols",
      "topics": [
        "corp_ml"
      ]
    },
    {
      "page": "covs_test",
      "title": "Covariances Test of Significance",
      "topics": [
        "covs_test"
      ]
    },
    {
      "page": "cronbach",
      "title": "Cronbach's Alpha of a Set of Variables/Items",
      "topics": [
        "cronbach"
      ]
    },
    {
      "page": "cronbachs",
      "title": "Cronbach's Alpha for Multiple Sets of Variables/Items",
      "topics": [
        "cronbachs"
      ]
    },
    {
      "page": "decompose",
      "title": "Decompose a Numeric Vector by Group",
      "topics": [
        "decompose"
      ]
    },
    {
      "page": "decomposes",
      "title": "Decompose Numeric Data by Group",
      "topics": [
        "decomposes"
      ]
    },
    {
      "page": "deff",
      "title": "Design Effect from Multilevel Numeric Vector",
      "topics": [
        "deff"
      ]
    },
    {
      "page": "deffs",
      "title": "Design Effects from Multilevel Numeric Data",
      "topics": [
        "deffs"
      ]
    },
    {
      "page": "describe_ml",
      "title": "Multilevel Descriptive Statistics",
      "topics": [
        "describe_ml"
      ]
    },
    {
      "page": "dum2nom",
      "title": "Dummy Variables to a Nominal Variable",
      "topics": [
        "dum2nom"
      ]
    },
    {
      "page": "freq",
      "title": "Univariate Frequency Table",
      "topics": [
        "freq"
      ]
    },
    {
      "page": "freq_by",
      "title": "Univariate Frequency Table By Group",
      "topics": [
        "freq_by"
      ]
    },
    {
      "page": "freqs",
      "title": "Multiple Univariate Frequency Tables",
      "topics": [
        "freqs"
      ]
    },
    {
      "page": "freqs_by",
      "title": "Multiple Univariate Frequency Tables",
      "topics": [
        "freqs_by"
      ]
    },
    {
      "page": "gtheory",
      "title": "Generalizability Theory Reliability of a Score",
      "topics": [
        "gtheory"
      ]
    },
    {
      "page": "gtheory_ml",
      "title": "Generalizability Theory Reliability of a Multilevel Score",
      "topics": [
        "gtheory_ml"
      ]
    },
    {
      "page": "gtheorys",
      "title": "Generalizability Theory Reliability of Multiple Scores",
      "topics": [
        "gtheorys"
      ]
    },
    {
      "page": "gtheorys_ml",
      "title": "Generalizability Theory Reliability of Multiple Multilevel Scores",
      "topics": [
        "gtheorys_ml"
      ]
    },
    {
      "page": "icc_11",
      "title": "Intraclass Correlation for Multilevel Analysis: ICC(1,1)",
      "topics": [
        "icc_11"
      ]
    },
    {
      "page": "icc_all_by",
      "title": "All Six Intraclass Correlations by Group",
      "topics": [
        "icc_all_by"
      ]
    },
    {
      "page": "iccs_11",
      "title": "Intraclass Correlation for Multiple Variables for Multilevel Analysis: ICC(1,1)",
      "topics": [
        "iccs_11"
      ]
    },
    {
      "page": "length_by",
      "title": "Length of a (Atomic) Vector by Group",
      "topics": [
        "length_by"
      ]
    },
    {
      "page": "lengths_by",
      "title": "Length of Data Columns by Group",
      "topics": [
        "lengths_by"
      ]
    },
    {
      "page": "long2wide",
      "title": "Reshape Multiple Scores From Long to Wide",
      "topics": [
        "long2wide"
      ]
    },
    {
      "page": "make.dummy",
      "title": "Make Dummy Columns",
      "topics": [
        "make.dummy"
      ]
    },
    {
      "page": "make.dumNA",
      "title": "Make Dummy Columns For Missing Data.",
      "topics": [
        "make.dumNA"
      ]
    },
    {
      "page": "make.fun_if",
      "title": "Make a Function Conditional on Frequency of Observed Values",
      "topics": [
        "make.fun_if"
      ]
    },
    {
      "page": "make.latent",
      "title": "Make Model Syntax for a Latent Factor in Lavaan",
      "topics": [
        "make.latent"
      ]
    },
    {
      "page": "make.product",
      "title": "Make Product Terms (e.g., interactions)",
      "topics": [
        "make.product"
      ]
    },
    {
      "page": "mean_change",
      "title": "Mean Change Across Two Timepoints (dependent two-samples t-test)",
      "topics": [
        "mean_change"
      ]
    },
    {
      "page": "mean_compare",
      "title": "Mean differences for a single variable across 3+ independent groups (one-way ANOVA)",
      "topics": [
        "mean_compare"
      ]
    },
    {
      "page": "mean_diff",
      "title": "Mean difference across two independent groups (independent two-samples t-test)",
      "topics": [
        "mean_diff"
      ]
    },
    {
      "page": "mean_if",
      "title": "Mean Conditional on Minimum Frequency of Observed Values",
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