{
  "_id": "6abe6c3999f7aa8c6aa56766",
  "Package": "mariposa",
  "Type": "Package",
  "Title": "'SPSS'-Compatible Statistical Tools for Survey Data",
  "Version": "0.7.4",
  "Authors@R": "person(\"Yannick\", \"Diehl\",\nemail = \"yannick.diehl@gmail.com\",\nrole = c(\"aut\", \"cre\"))",
  "Description": "Statistical analysis of survey data with full support for\nsurvey weights, grouped operations, and 'tidyverse'\nintegration. Provides 80 functions for data import/export\n('SPSS', 'Stata', 'SAS', 'Excel') with label roundtripping and\ntagged NA preservation, label management (variable labels,\nvalue labels, type conversions, missing value declaration),\ndata transformation (recoding, dummy coding, standardization,\ncentering), descriptive statistics, codebook generation,\nhypothesis testing, correlation analysis, post-hoc comparisons,\nweighted statistics, scale analysis, regression, non-parametric\ntests, exact tests, factorial ANOVA, and ANCOVA. Every analysis\noffers compact print() and detailed summary() output with\ntoggleable sections. Statistical results are validated against\n'SPSS' version 29 within documented per-tier tolerances (see\nthe compatibility vignette for per-function status). Methods\nfollow the published algorithms of IBM Corp. (2023, \"IBM SPSS\nStatistics Algorithms\"), the Lilliefors-corrected normality\ntest of Dallal and Wilkinson (1986)\n<doi:10.1080/00031305.1986.10475419>, and the adjusted\nstandardized residuals of Haberman (1973)\n<doi:10.2307/2529686>. Designed for survey researchers, social\nscientists, and students working with complex survey designs.",
  "License": "MIT + file LICENSE",
  "Language": "en",
  "Encoding": "UTF-8",
  "VignetteBuilder": "knitr",
  "LazyData": "true",
  "Roxygen": "list(markdown = TRUE)",
  "Config/testthat/edition": "3",
  "URL": "https://YannickDiehl.github.io/mariposa/,\nhttps://github.com/YannickDiehl/mariposa",
  "BugReports": "https://github.com/YannickDiehl/mariposa/issues",
  "Config/roxygen2/version": "8.0.0",
  "Repository": "https://yannickdiehl.r-universe.dev",
  "Date/Publication": "2026-10-01 06:36:40 UTC",
  "RemoteUrl": "https://github.com/yannickdiehl/mariposa",
  "RemoteRef": "HEAD",
  "RemoteSha": "10559813c2fb893df7274e5fe9421b552c2c2253",
  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-01 13:46:54 UTC",
    "User": "root"
  },
  "Author": "Yannick Diehl [aut, cre]",
  "Maintainer": "Yannick Diehl <yannick.diehl@gmail.com>",
  "_user": "yannickdiehl",
  "_type": "src",
  "_file": "mariposa_0.7.4.tar.gz",
  "_fileid": "https://r2.ropensci.org/bec9a04f57ec96b301ca57fcc639e5576fb2f2b2042e50f1f1f4dce4f7fec16d",
  "_filesize": 2235758,
  "_sha256": "bec9a04f57ec96b301ca57fcc639e5576fb2f2b2042e50f1f1f4dce4f7fec16d",
  "_expires": "2027-01-09T14:20:39.000Z",
  "_created": "2026-10-01T13:46:54.000Z",
  "_published": "2026-10-01T14:20:41.441Z",
  "_jobs": [
    {
      "job": 110399649833,
      "time": 268,
      "config": "linux-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11167161678"
    },
    {
      "job": 110399649853,
      "time": 287,
      "config": "linux-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11167820524"
    },
    {
      "job": 110399649818,
      "time": 314,
      "config": "macos-oldrel-arm64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11168678199"
    },
    {
      "job": 110399649834,
      "time": 314,
      "config": "macos-release-arm64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11168915968"
    },
    {
      "job": 110397175040,
      "time": 341,
      "config": "source",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11166159503"
    },
    {
      "job": 110399649812,
      "time": 139,
      "config": "wasm-release",
      "r": "4.6.0",
      "check": "OK",
      "artifact": "11167555782"
    },
    {
      "job": 110399650082,
      "time": 310,
      "config": "windows-devel-x86_64",
      "r": "4.7.0",
      "check": "OK",
      "artifact": "11168090347"
    },
    {
      "job": 110399649777,
      "time": 382,
      "config": "windows-oldrel-x86_64",
      "r": "4.5.3",
      "check": "OK",
      "artifact": "11168430322"
    },
    {
      "job": 110399650104,
      "time": 343,
      "config": "windows-release-x86_64",
      "r": "4.6.1",
      "check": "OK",
      "artifact": "11167591090"
    }
  ],
  "_host": "GitHub-Actions",
  "_buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123",
  "_status": "success",
  "_upstream": "https://github.com/yannickdiehl/mariposa",
  "_commit": {
    "id": "10559813c2fb893df7274e5fe9421b552c2c2253",
    "author": "YannickDiehl <yannick.diehl@gmail.com>",
    "committer": "YannickDiehl <yannick.diehl@gmail.com>",
    "message": "ci(release): read NEWS.md and the script from the default branch\n\nChecking out the tag failed for tags older than the script (v0.6.1:\n'release-notes.sh: No such file or directory'). The notes now always come\nfrom the current NEWS.md, which is also what a refresh after a NEWS\ncorrection needs.\n",
    "time": 1790836600
  },
  "_maintainer": {
    "name": "Yannick Diehl",
    "email": "yannick.diehl@gmail.com",
    "login": "yannickdiehl",
    "description": "",
    "uuid": 63370167
  },
  "_distro": "resolute",
  "_registered": true,
  "_dependencies": [
    {
      "package": "R",
      "version": ">= 4.1.0",
      "role": "Depends"
    },
    {
      "package": "cli",
      "version": ">= 3.0.0",
      "role": "Imports"
    },
    {
      "package": "htmltools",
      "version": ">= 0.5.0",
      "role": "Imports"
    },
    {
      "package": "stats",
      "role": "Imports"
    },
    {
      "package": "utils",
      "role": "Imports"
    },
    {
      "package": "dplyr",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "rlang",
      "version": ">= 1.0.0",
      "role": "Imports"
    },
    {
      "package": "tidyselect",
      "version": ">= 1.1.0",
      "role": "Imports"
    },
    {
      "package": "tibble",
      "version": ">= 3.0.0",
      "role": "Imports"
    },
    {
      "package": "testthat",
      "version": ">= 3.0.0",
      "role": "Suggests"
    },
    {
      "package": "knitr",
      "role": "Suggests"
    },
    {
      "package": "rmarkdown",
      "role": "Suggests"
    },
    {
      "package": "covr",
      "role": "Suggests"
    },
    {
      "package": "haven",
      "version": ">= 2.4.0",
      "role": "Suggests"
    },
    {
      "package": "GPArotation",
      "role": "Suggests"
    },
    {
      "package": "MASS",
      "role": "Suggests"
    },
    {
      "package": "openxlsx2",
      "role": "Suggests"
    },
    {
      "package": "survey",
      "role": "Suggests"
    },
    {
      "package": "withr",
      "role": "Suggests"
    },
    {
      "package": "broom",
      "role": "Suggests"
    },
    {
      "package": "psych",
      "role": "Suggests"
    },
    {
      "package": "lavaan",
      "role": "Suggests"
    },
    {
      "package": "semTools",
      "role": "Suggests"
    },
    {
      "package": "nortest",
      "role": "Suggests"
    }
  ],
  "_owner": "yannickdiehl",
  "_selfowned": true,
  "_usedby": 0,
  "_updates": [
    {
      "week": "2025-40",
      "n": 7
    },
    {
      "week": "2026-08",
      "n": 3
    },
    {
      "week": "2026-09",
      "n": 24
    },
    {
      "week": "2026-10",
      "n": 29
    },
    {
      "week": "2026-11",
      "n": 7
    },
    {
      "week": "2026-21",
      "n": 43
    },
    {
      "week": "2026-22",
      "n": 3
    },
    {
      "week": "2026-27",
      "n": 46
    },
    {
      "week": "2026-35",
      "n": 20
    },
    {
      "week": "2026-37",
      "n": 5
    },
    {
      "week": "2026-38",
      "n": 2
    },
    {
      "week": "2026-40",
      "n": 239
    }
  ],
  "_tags": [
    {
      "name": "v0.1.0",
      "date": "2026-02-27"
    },
    {
      "name": "v0.2.0",
      "date": "2026-03-01"
    },
    {
      "name": "v0.3.0",
      "date": "2026-03-01"
    },
    {
      "name": "v0.3.1",
      "date": "2026-03-02"
    },
    {
      "name": "v0.4.0",
      "date": "2026-03-02"
    },
    {
      "name": "v0.5.0",
      "date": "2026-03-02"
    },
    {
      "name": "v0.5.1",
      "date": "2026-03-03"
    },
    {
      "name": "v0.5.2",
      "date": "2026-03-04"
    },
    {
      "name": "v0.5.2.2",
      "date": "2026-03-05"
    },
    {
      "name": "v0.5.3",
      "date": "2026-03-12"
    },
    {
      "name": "v0.6.0",
      "date": "2026-03-14"
    },
    {
      "name": "v0.6.1",
      "date": "2026-05-20"
    },
    {
      "name": "v0.6.2",
      "date": "2026-05-23"
    },
    {
      "name": "v0.6.3",
      "date": "2026-05-23"
    },
    {
      "name": "v0.6.3.1",
      "date": "2026-05-25"
    },
    {
      "name": "v0.6.3.2",
      "date": "2026-05-31"
    },
    {
      "name": "v0.6.10",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.11",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.12",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.4",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.5",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.6",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.7",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.8",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.9",
      "date": "2026-07-02"
    },
    {
      "name": "v0.6.13",
      "date": "2026-07-03"
    },
    {
      "name": "v0.6.14",
      "date": "2026-07-03"
    },
    {
      "name": "v0.6.15",
      "date": "2026-08-26"
    },
    {
      "name": "v0.6.16",
      "date": "2026-08-26"
    },
    {
      "name": "v0.6.17",
      "date": "2026-08-26"
    },
    {
      "name": "v0.7.0",
      "date": "2026-08-26"
    },
    {
      "name": "v0.7.1",
      "date": "2026-08-27"
    },
    {
      "name": "v0.7.2",
      "date": "2026-09-09"
    },
    {
      "name": "v0.7.3",
      "date": "2026-09-17"
    }
  ],
  "_stars": 8,
  "_contributors": [
    {
      "user": "yannickdiehl",
      "count": 473,
      "uuid": 63370167
    }
  ],
  "_userbio": {
    "uuid": 63370167,
    "type": "user",
    "name": "Yannick Diehl",
    "followers": 4
  },
  "_downloads": {
    "count": 58,
    "source": "https://cranlogs.r-pkg.org/downloads/total/last-month/mariposa"
  },
  "_devurl": "https://github.com/yannickdiehl/mariposa",
  "_pkgdown": "https://YannickDiehl.github.io/mariposa/",
  "_rbuild": "4.6.1",
  "_assets": [
    "extra/citation.cff",
    "extra/citation.html",
    "extra/citation.json",
    "extra/citation.txt",
    "extra/contents.json",
    "extra/manual.pdf",
    "extra/mariposa.html",
    "extra/NEWS.html",
    "extra/NEWS.txt",
    "extra/readme.html",
    "extra/readme.md",
    "LICENSE"
  ],
  "_homeurl": "https://github.com/yannickdiehl/mariposa",
  "_realowner": "yannickdiehl",
  "_cranurl": true,
  "_releases": [
    {
      "version": "0.7.3",
      "date": "2026-09-28"
    }
  ],
  "_exports": [
    "%>%",
    "ancova",
    "binomial_test",
    "center",
    "chi_square",
    "chisq_gof",
    "codebook",
    "copy_labels",
    "cramers_v",
    "crosstab",
    "describe",
    "drop_labels",
    "dunn_test",
    "efa",
    "factorial_anova",
    "find_var",
    "fisher_test",
    "fre",
    "frequency",
    "friedman_test",
    "goodman_gamma",
    "kendall_tau",
    "kruskal_wallis",
    "levene_test",
    "linear_regression",
    "logistic_regression",
    "mann_whitney",
    "marginal_effects",
    "mcnemar_test",
    "multiple_response",
    "na_frequencies",
    "normality_test",
    "oneway_anova",
    "pairwise_wilcoxon",
    "partial_cor",
    "pearson_cor",
    "phi",
    "pomps",
    "read_por",
    "read_sas",
    "read_spss",
    "read_stata",
    "read_xlsx",
    "read_xpt",
    "rec",
    "reliability",
    "row_count",
    "row_means",
    "row_sums",
    "scheffe_test",
    "set_na",
    "spearman_rho",
    "std",
    "strip_tags",
    "t_test",
    "to_character",
    "to_dummy",
    "to_label",
    "to_labelled",
    "to_numeric",
    "tukey_test",
    "unlabel",
    "untag_na",
    "val_labels",
    "var_label",
    "var_label<-",
    "w_iqr",
    "w_kurtosis",
    "w_mean",
    "w_median",
    "w_modus",
    "w_quantile",
    "w_range",
    "w_sd",
    "w_se",
    "w_skew",
    "w_var",
    "wilcoxon_test",
    "write_spss",
    "write_stata",
    "write_xlsx",
    "write_xpt"
  ],
  "_datasets": [
    {
      "name": "longitudinal_data",
      "title": "Longitudinal Study Data (Synthetic)",
      "object": "longitudinal_data",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "subject_id",
        "group",
        "age",
        "gender",
        "time",
        "time_numeric",
        "outcome_score",
        "secondary_outcome",
        "physio_measure",
        "questionnaire_score"
      ],
      "rows": 480,
      "table": true,
      "tojson": true
    },
    {
      "name": "longitudinal_data_wide",
      "title": "Longitudinal Study Data - Wide Format (Synthetic)",
      "object": "longitudinal_data_wide",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "subject_id",
        "group",
        "age",
        "gender",
        "score_T1",
        "score_T2",
        "score_T3",
        "score_T4"
      ],
      "rows": 120,
      "table": true,
      "tojson": true
    },
    {
      "name": "survey_data",
      "title": "Social Survey Data (Synthetic)",
      "object": "survey_data",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "id",
        "age",
        "gender",
        "region",
        "education",
        "income",
        "employment",
        "political_orientation",
        "environmental_concern",
        "life_satisfaction",
        "trust_government",
        "trust_media",
        "trust_science",
        "sampling_weight",
        "stratum",
        "interview_mode"
      ],
      "rows": 2500,
      "table": true,
      "tojson": true
    }
  ],
  "_help": [
    {
      "page": "ancova",
      "title": "Analysis of Covariance: ANCOVA",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "ancova"
      ]
    },
    {
      "page": "anova.linear_regression",
      "title": "ANOVA for a linear_regression model",
      "topics": [
        "anova.linear_regression"
      ]
    },
    {
      "page": "anova.logistic_regression",
      "title": "ANOVA for a logistic_regression model",
      "topics": [
        "anova.logistic_regression"
      ]
    },
    {
      "page": "as.data.frame.mariposa",
      "title": "Convert Analysis Results to Data Frames",
      "topics": [
        "as.data.frame.ancova",
        "as.data.frame.binomial_test",
        "as.data.frame.chisq_gof",
        "as.data.frame.chi_square",
        "as.data.frame.codebook",
        "as.data.frame.crosstab",
        "as.data.frame.describe",
        "as.data.frame.dunn_test",
        "as.data.frame.efa",
        "as.data.frame.factorial_anova",
        "as.data.frame.fisher_test",
        "as.data.frame.frequency",
        "as.data.frame.friedman_test",
        "as.data.frame.kendall_tau",
        "as.data.frame.kruskal_wallis",
        "as.data.frame.levene_test",
        "as.data.frame.linear_regression",
        "as.data.frame.logistic_regression",
        "as.data.frame.mann_whitney",
        "as.data.frame.marginal_effects",
        "as.data.frame.mariposa",
        "as.data.frame.mcnemar_test",
        "as.data.frame.multiple_response",
        "as.data.frame.normality_test",
        "as.data.frame.oneway_anova",
        "as.data.frame.pairwise_wilcoxon",
        "as.data.frame.partial_cor",
        "as.data.frame.pearson_cor",
        "as.data.frame.reliability",
        "as.data.frame.scheffe_test",
        "as.data.frame.spearman_rho",
        "as.data.frame.tukey_test",
        "as.data.frame.t_test",
        "as.data.frame.wilcoxon_test",
        "as.data.frame.w_iqr",
        "as.data.frame.w_kurtosis",
        "as.data.frame.w_mean",
        "as.data.frame.w_median",
        "as.data.frame.w_modus",
        "as.data.frame.w_quantile",
        "as.data.frame.w_range",
        "as.data.frame.w_sd",
        "as.data.frame.w_se",
        "as.data.frame.w_skew",
        "as.data.frame.w_var"
      ]
    },
    {
      "page": "binomial_test",
      "title": "Test Whether a Proportion Matches an Expected Value",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "binomial_test"
      ]
    },
    {
      "page": "center",
      "title": "Center Variables (Mean Centering)",
      "concept": [
        "transform"
      ],
      "topics": [
        "center"
      ]
    },
    {
      "page": "chi_square",
      "title": "Test If Two Categories Are Related",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "chi_square"
      ]
    },
    {
      "page": "chisq_gof",
      "title": "Chi-Square Goodness-of-Fit Test",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "chisq_gof"
      ]
    },
    {
      "page": "codebook",
      "title": "Create a Codebook for Your Data",
      "topics": [
        "codebook"
      ]
    },
    {
      "page": "coef.linear_regression",
      "title": "Coefficients of a linear_regression model",
      "topics": [
        "coef.linear_regression"
      ]
    },
    {
      "page": "confint.linear_regression",
      "title": "Confidence intervals for linear_regression coefficients",
      "topics": [
        "confint.linear_regression"
      ]
    },
    {
      "page": "confint.logistic_regression",
      "title": "Confidence intervals for logistic regression coefficients",
      "topics": [
        "confint.logistic_regression"
      ]
    },
    {
      "page": "copy_labels",
      "title": "Copy Labels from One Data Frame to Another",
      "concept": [
        "labels"
      ],
      "topics": [
        "copy_labels"
      ]
    },
    {
      "page": "crosstab",
      "title": "Compare Two Categories: See How They Relate",
      "concept": [
        "descriptive"
      ],
      "topics": [
        "crosstab"
      ]
    },
    {
      "page": "describe",
      "title": "Get to Know Your Numeric Data",
      "concept": [
        "descriptive"
      ],
      "topics": [
        "describe"
      ]
    },
    {
      "page": "df.residual.linear_regression",
      "title": "Residual degrees of freedom of a linear_regression model",
      "topics": [
        "df.residual.linear_regression"
      ]
    },
    {
      "page": "drop_labels",
      "title": "Remove Unused Value Labels",
      "concept": [
        "labels"
      ],
      "topics": [
        "drop_labels"
      ]
    },
    {
      "page": "dunn_test",
      "title": "Find Which Specific Groups Differ After Kruskal-Wallis",
      "concept": [
        "posthoc"
      ],
      "topics": [
        "dunn_test",
        "dunn_test.default"
      ]
    },
    {
      "page": "efa",
      "title": "Explore the Structure Behind Your Survey Items",
      "concept": [
        "scale"
      ],
      "topics": [
        "efa"
      ]
    },
    {
      "page": "factorial_anova",
      "title": "Compare Groups Across Multiple Factors: Factorial ANOVA",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "factorial_anova"
      ]
    },
    {
      "page": "find_var",
      "title": "Find Variables by Name or Label",
      "concept": [
        "labels"
      ],
      "topics": [
        "find_var"
      ]
    },
    {
      "page": "fisher_test",
      "title": "Fisher's Exact Test for Small Samples",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "fisher_test"
      ]
    },
    {
      "page": "fitted.linear_regression",
      "title": "Fitted values of a linear_regression model",
      "topics": [
        "fitted.linear_regression"
      ]
    },
    {
      "page": "frequency",
      "title": "Count How Many People Chose Each Option",
      "concept": [
        "descriptive"
      ],
      "topics": [
        "fre",
        "frequency"
      ]
    },
    {
      "page": "friedman_test",
      "title": "Compare Three or More Related Measurements Without Assuming Normality",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "friedman_test"
      ]
    },
    {
      "page": "kendall_tau",
      "title": "Kendall's Tau Correlation Analysis",
      "concept": [
        "correlation"
      ],
      "topics": [
        "kendall_tau"
      ]
    },
    {
      "page": "kruskal_wallis",
      "title": "Compare Multiple Groups Without Assuming Normal Data",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "kruskal_wallis"
      ]
    },
    {
      "page": "levene_test",
      "title": "Test If Groups Vary Similarly",
      "concept": [
        "posthoc"
      ],
      "topics": [
        "levene_test",
        "levene_test.ancova",
        "levene_test.data.frame",
        "levene_test.default",
        "levene_test.grouped_df",
        "levene_test.mann_whitney",
        "levene_test.oneway_anova",
        "levene_test.t_test"
      ]
    },
    {
      "page": "linear_regression",
      "title": "Run a Linear Regression",
      "concept": [
        "regression"
      ],
      "topics": [
        "linear_regression"
      ]
    },
    {
      "page": "logistic_regression",
      "title": "Run a Logistic Regression",
      "concept": [
        "regression"
      ],
      "topics": [
        "logistic_regression"
      ]
    },
    {
      "page": "logistic_regression-accessors",
      "title": "Standard glm accessors for logistic_regression results",
      "topics": [
        "coef.logistic_regression",
        "fitted.logistic_regression",
        "logistic_regression-accessors",
        "nobs.logistic_regression",
        "residuals.logistic_regression",
        "vcov.logistic_regression"
      ]
    },
    {
      "page": "longitudinal_data",
      "title": "Longitudinal Study Data (Synthetic)",
      "topics": [
        "longitudinal_data"
      ]
    },
    {
      "page": "longitudinal_data_wide",
      "title": "Longitudinal Study Data - Wide Format (Synthetic)",
      "topics": [
        "longitudinal_data_wide"
      ]
    },
    {
      "page": "mann_whitney",
      "title": "Compare Two Groups Without Assuming Normal Data",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "mann_whitney"
      ]
    },
    {
      "page": "marginal_effects",
      "title": "Average Marginal Effects",
      "concept": [
        "regression"
      ],
      "topics": [
        "marginal_effects"
      ]
    },
    {
      "page": "mcnemar_test",
      "title": "McNemar's Test for Paired Proportions",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "mcnemar_test"
      ]
    },
    {
      "page": "multiple_response",
      "title": "Analyze Multiple Response Sets",
      "concept": [
        "descriptive"
      ],
      "topics": [
        "multiple_response"
      ]
    },
    {
      "page": "na_frequencies",
      "title": "Frequency Table of Missing Value Types",
      "concept": [
        "data-import"
      ],
      "topics": [
        "na_frequencies"
      ]
    },
    {
      "page": "nobs.linear_regression",
      "title": "Number of observations of a linear_regression model",
      "topics": [
        "nobs.linear_regression"
      ]
    },
    {
      "page": "normality_test",
      "title": "Test Variables for Normality",
      "concept": [
        "descriptive"
      ],
      "topics": [
        "normality_test"
      ]
    },
    {
      "page": "oneway_anova",
      "title": "Compare Multiple Groups: Are Their Averages Different?",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "oneway_anova"
      ]
    },
    {
      "page": "pairwise_wilcoxon",
      "title": "Find Which Specific Measurements Differ After Friedman Test",
      "concept": [
        "posthoc"
      ],
      "topics": [
        "pairwise_wilcoxon",
        "pairwise_wilcoxon.default"
      ]
    },
    {
      "page": "partial_cor",
      "title": "Partial Correlation",
      "concept": [
        "correlation"
      ],
      "topics": [
        "partial_cor"
      ]
    },
    {
      "page": "pearson_cor",
      "title": "Measure How Strongly Variables Are Related",
      "concept": [
        "correlation"
      ],
      "topics": [
        "pearson_cor"
      ]
    },
    {
      "page": "phi",
      "title": "Effect Sizes for Contingency Tables",
      "concept": [
        "effect_sizes"
      ],
      "topics": [
        "cramers_v",
        "goodman_gamma",
        "phi"
      ]
    },
    {
      "page": "pomps",
      "title": "Transform Scores to Percent of Maximum Possible (POMPS)",
      "concept": [
        "scale"
      ],
      "topics": [
        "pomps"
      ]
    },
    {
      "page": "predict.linear_regression",
      "title": "Predict from a linear_regression model",
      "topics": [
        "predict.linear_regression"
      ]
    },
    {
      "page": "predict.logistic_regression",
      "title": "Predict from a logistic_regression model",
      "topics": [
        "predict.logistic_regression"
      ]
    },
    {
      "page": "print.ancova",
      "title": "Print ANCOVA results (compact)",
      "topics": [
        "print.ancova"
      ]
    },
    {
      "page": "print.binomial_test",
      "title": "Print binomial test results (compact)",
      "topics": [
        "print.binomial_test"
      ]
    },
    {
      "page": "print.chi_square",
      "title": "Print chi-squared test results (compact)",
      "topics": [
        "print.chi_square"
      ]
    },
    {
      "page": "print.chisq_gof",
      "title": "Print chi-square goodness-of-fit test results (compact)",
      "topics": [
        "print.chisq_gof"
      ]
    },
    {
      "page": "print.codebook",
      "title": "Print a Compact Console Overview of the Codebook",
      "topics": [
        "print.codebook"
      ]
    },
    {
      "page": "print.crosstab",
      "title": "Print method for crosstab results",
      "topics": [
        "print.crosstab"
      ]
    },
    {
      "page": "print.describe",
      "title": "Print method for describe objects",
      "topics": [
        "print.describe"
      ]
    },
    {
      "page": "print.dunn_test",
      "title": "Print Dunn post-hoc test results (compact)",
      "topics": [
        "print.dunn_test"
      ]
    },
    {
      "page": "print.efa",
      "title": "Print EFA results (compact)",
      "topics": [
        "print.efa"
      ]
    },
    {
      "page": "print.factorial_anova",
      "title": "Print factorial ANOVA results (compact)",
      "topics": [
        "print.factorial_anova"
      ]
    },
    {
      "page": "print.fisher_test",
      "title": "Print Fisher's exact test results (compact)",
      "topics": [
        "print.fisher_test"
      ]
    },
    {
      "page": "print.frequency",
      "title": "Print method for frequency objects",
      "topics": [
        "print.frequency"
      ]
    },
    {
      "page": "print.friedman_test",
      "title": "Print Friedman test results (compact)",
      "topics": [
        "print.friedman_test"
      ]
    },
    {
      "page": "print.kendall_tau",
      "title": "Print Kendall's tau results (compact)",
      "topics": [
        "print.kendall_tau"
      ]
    },
    {
      "page": "print.kruskal_wallis",
      "title": "Print Kruskal-Wallis test results (compact)",
      "topics": [
        "print.kruskal_wallis"
      ]
    },
    {
      "page": "print.levene_test",
      "title": "Print Levene test results (compact)",
      "topics": [
        "print.levene_test"
      ]
    },
    {
      "page": "print.linear_regression",
      "title": "Print linear regression results (compact)",
      "topics": [
        "print.linear_regression"
      ]
    },
    {
      "page": "print.logistic_regression",
      "title": "Print logistic regression results (compact)",
      "topics": [
        "print.logistic_regression"
      ]
    },
    {
      "page": "print.mann_whitney",
      "title": "Print Mann-Whitney test results (compact)",
      "topics": [
        "print.mann_whitney"
      ]
    },
    {
      "page": "print.marginal_effects",
      "title": "Print average marginal effects (compact)",
      "topics": [
        "print.marginal_effects"
      ]
    },
    {
      "page": "print.mcnemar_test",
      "title": "Print McNemar test results (compact)",
      "topics": [
        "print.mcnemar_test"
      ]
    },
    {
      "page": "print.multiple_response",
      "title": "Print multiple response results",
      "topics": [
        "print.multiple_response"
      ]
    },
    {
      "page": "print.normality_test",
      "title": "Print normality test results (compact)",
      "topics": [
        "print.normality_test"
      ]
    },
    {
      "page": "print.oneway_anova",
      "title": "Print ANOVA test results (compact)",
      "topics": [
        "print.oneway_anova"
      ]
    },
    {
      "page": "print.pairwise_wilcoxon",
      "title": "Print pairwise Wilcoxon post-hoc test results (compact)",
      "topics": [
        "print.pairwise_wilcoxon"
      ]
    },
    {
      "page": "print.partial_cor",
      "title": "Print partial correlation results (compact)",
      "topics": [
        "print.partial_cor"
      ]
    },
    {
      "page": "print.pearson_cor",
      "title": "Print Pearson correlation results (compact)",
      "topics": [
        "print.pearson_cor"
      ]
    },
    {
      "page": "print.reliability",
      "title": "Print reliability results (compact)",
      "topics": [
        "print.reliability"
      ]
    },
    {
      "page": "print.scheffe_test",
      "title": "Print Scheffe test results (compact)",
      "topics": [
        "print.scheffe_test"
      ]
    },
    {
      "page": "print.spearman_rho",
      "title": "Print Spearman correlation results (compact)",
      "topics": [
        "print.spearman_rho"
      ]
    },
    {
      "page": "print.summary.ancova",
      "title": "Print summary of ANCOVA results (detailed output)",
      "topics": [
        "print.summary.ancova"
      ]
    },
    {
      "page": "print.summary.binomial_test",
      "title": "Print summary of binomial test results (detailed output)",
      "topics": [
        "print.summary.binomial_test"
      ]
    },
    {
      "page": "print.summary.chi_square",
      "title": "Print summary of chi-squared test results (detailed output)",
      "topics": [
        "print.summary.chi_square"
      ]
    },
    {
      "page": "print.summary.chisq_gof",
      "title": "Print summary of chi-square goodness-of-fit results (detailed output)",
      "topics": [
        "print.summary.chisq_gof"
      ]
    },
    {
      "page": "print.summary.codebook",
      "title": "Print a Detailed Console Codebook Summary",
      "topics": [
        "print.summary.codebook"
      ]
    },
    {
      "page": "print.summary.crosstab",
      "title": "Print summary of crosstab results (detailed output)",
      "topics": [
        "print.summary.crosstab"
      ]
    },
    {
      "page": "print.summary.describe",
      "title": "Print summary of describe results (detailed output)",
      "topics": [
        "print.summary.describe"
      ]
    },
    {
      "page": "print.summary.dunn_test",
      "title": "Print summary of Dunn post-hoc test results (detailed output)",
      "topics": [
        "print.summary.dunn_test"
      ]
    },
    {
      "page": "print.summary.efa",
      "title": "Print summary of EFA results (detailed output)",
      "topics": [
        "print.summary.efa"
      ]
    },
    {
      "page": "print.summary.factorial_anova",
      "title": "Print summary of factorial ANOVA results (detailed output)",
      "topics": [
        "print.summary.factorial_anova"
      ]
    },
    {
      "page": "print.summary.fisher_test",
      "title": "Print summary of Fisher's exact test results (detailed output)",
      "topics": [
        "print.summary.fisher_test"
      ]
    },
    {
      "page": "print.summary.frequency",
      "title": "Print summary of frequency results (detailed output)",
      "topics": [
        "print.summary.frequency"
      ]
    },
    {
      "page": "print.summary.friedman_test",
      "title": "Print summary of Friedman test results (detailed output)",
      "topics": [
        "print.summary.friedman_test"
      ]
    },
    {
      "page": "print.summary.kendall_tau",
      "title": "Print summary of Kendall's tau correlation results (detailed output)",
      "topics": [
        "print.summary.kendall_tau"
      ]
    },
    {
      "page": "print.summary.kruskal_wallis",
      "title": "Print summary of Kruskal-Wallis test results (detailed output)",
      "topics": [
        "print.summary.kruskal_wallis"
      ]
    },
    {
      "page": "print.summary.levene_test",
      "title": "Print summary of Levene test results (detailed output)",
      "topics": [
        "print.summary.levene_test"
      ]
    },
    {
      "page": "print.summary.linear_regression",
      "title": "Print summary of linear regression results (detailed output)",
      "topics": [
        "print.summary.linear_regression"
      ]
    },
    {
      "page": "print.summary.logistic_regression",
      "title": "Print summary of logistic regression results (detailed output)",
      "topics": [
        "print.summary.logistic_regression"
      ]
    },
    {
      "page": "print.summary.mann_whitney",
      "title": "Print summary of Mann-Whitney test results (detailed output)",
      "topics": [
        "print.summary.mann_whitney"
      ]
    },
    {
      "page": "print.summary.marginal_effects",
      "title": "Print summary of average marginal effects (detailed output)",
      "topics": [
        "print.summary.marginal_effects"
      ]
    },
    {
      "page": "print.summary.mcnemar_test",
      "title": "Print summary of McNemar test results (detailed output)",
      "topics": [
        "print.summary.mcnemar_test"
      ]
    },
    {
      "page": "print.summary.multiple_response",
      "title": "Print summary of multiple response results (detailed output)",
      "topics": [
        "print.summary.multiple_response"
      ]
    },
    {
      "page": "print.summary.normality_test",
      "title": "Print summary of normality test results (detailed output)",
      "topics": [
        "print.summary.normality_test"
      ]
    },
    {
      "page": "print.summary.oneway_anova",
      "title": "Print summary of one-way ANOVA results (detailed output)",
      "topics": [
        "print.summary.oneway_anova"
      ]
    },
    {
      "page": "print.summary.pairwise_wilcoxon",
      "title": "Print summary of pairwise Wilcoxon post-hoc test results (detailed output)",
      "topics": [
        "print.summary.pairwise_wilcoxon"
      ]
    },
    {
      "page": "print.summary.partial_cor",
      "title": "Print summary of partial correlation results (detailed output)",
      "topics": [
        "print.summary.partial_cor"
      ]
    },
    {
      "page": "print.summary.pearson_cor",
      "title": "Print summary of Pearson correlation results (detailed output)",
      "topics": [
        "print.summary.pearson_cor"
      ]
    },
    {
      "page": "print.summary.reliability",
      "title": "Print summary of reliability analysis results (detailed output)",
      "topics": [
        "print.summary.reliability"
      ]
    },
    {
      "page": "print.summary.scheffe_test",
      "title": "Print summary of Scheffe test results (detailed output)",
      "topics": [
        "print.summary.scheffe_test"
      ]
    },
    {
      "page": "print.summary.spearman_rho",
      "title": "Print summary of Spearman correlation results (detailed output)",
      "topics": [
        "print.summary.spearman_rho"
      ]
    },
    {
      "page": "print.summary.t_test",
      "title": "Print summary of t-test results (detailed output)",
      "topics": [
        "print.summary.t_test"
      ]
    },
    {
      "page": "print.summary.tukey_test",
      "title": "Print summary of Tukey HSD test results (detailed output)",
      "topics": [
        "print.summary.tukey_test"
      ]
    },
    {
      "page": "print.summary.w_quantile",
      "title": "Print summary of w_quantile results (with Kish's effective N)",
      "topics": [
        "print.summary.w_quantile"
      ]
    },
    {
      "page": "print.summary.w_statistic",
      "title": "Print summary of a w_* statistic (detailed output)",
      "topics": [
        "print.summary.w_statistic"
      ]
    },
    {
      "page": "print.summary.wilcoxon_test",
      "title": "Print summary of Wilcoxon signed-rank test results (detailed output)",
      "topics": [
        "print.summary.wilcoxon_test"
      ]
    },
    {
      "page": "print.t_test",
      "title": "Print t-test results (compact)",
      "topics": [
        "print.t_test"
      ]
    },
    {
      "page": "print.tukey_test",
      "title": "Print Tukey HSD test results (compact)",
      "topics": [
        "print.tukey_test"
      ]
    },
    {
      "page": "print.w_modus",
      "title": "Print method for w_modus objects",
      "topics": [
        "print.w_modus"
      ]
    },
    {
      "page": "print.wilcoxon_test",
      "title": "Print Wilcoxon signed-rank test results (compact)",
      "topics": [
        "print.wilcoxon_test"
      ]
    },
    {
      "page": "profile.logistic_regression",
      "title": "Profile likelihood for a logistic_regression model",
      "topics": [
        "profile.logistic_regression"
      ]
    },
    {
      "page": "read_por",
      "title": "Read SPSS Portable Data with Tagged Missing Values",
      "concept": [
        "data-import"
      ],
      "topics": [
        "read_por"
      ]
    },
    {
      "page": "read_sas",
      "title": "Read SAS Data with Tagged Missing Values",
      "concept": [
        "data-import"
      ],
      "topics": [
        "read_sas"
      ]
    },
    {
      "page": "read_spss",
      "title": "Read SPSS Data with Tagged Missing Values",
      "concept": [
        "data-import"
      ],
      "topics": [
        "read_spss"
      ]
    },
    {
      "page": "read_stata",
      "title": "Read Stata Data with Tagged Missing Values",
      "concept": [
        "data-import"
      ],
      "topics": [
        "read_stata"
      ]
    },
    {
      "page": "read_xlsx",
      "title": "Read Excel Data with Label Reconstruction",
      "concept": [
        "data-import"
      ],
      "topics": [
        "read_xlsx"
      ]
    },
    {
      "page": "read_xpt",
      "title": "Read SAS Transport File with Tagged Missing Values",
      "concept": [
        "data-import"
      ],
      "topics": [
        "read_xpt"
      ]
    },
    {
      "page": "rec",
      "title": "Recode Variables Using String Syntax",
      "concept": [
        "recode"
      ],
      "topics": [
        "rec"
      ]
    },
    {
      "page": "reliability",
      "title": "Check How Reliably Your Scale Measures a Concept",
      "concept": [
        "scale"
      ],
      "topics": [
        "reliability"
      ]
    },
    {
      "page": "residuals.linear_regression",
      "title": "Residuals of a linear_regression model",
      "topics": [
        "residuals.linear_regression"
      ]
    },
    {
      "page": "row_count",
      "title": "Count Occurrences of a Value Across Columns",
      "concept": [
        "scale"
      ],
      "topics": [
        "row_count"
      ]
    },
    {
      "page": "row_means",
      "title": "Compute Row Means Across Items",
      "concept": [
        "scale"
      ],
      "topics": [
        "row_means"
      ]
    },
    {
      "page": "row_sums",
      "title": "Compute Row Sums Across Items",
      "concept": [
        "scale"
      ],
      "topics": [
        "row_sums"
      ]
    },
    {
      "page": "scheffe_test",
      "title": "Compare All Groups More Conservatively After ANOVA",
      "concept": [
        "posthoc"
      ],
      "topics": [
        "scheffe_test",
        "scheffe_test.default"
      ]
    },
    {
      "page": "set_na",
      "title": "Declare Values as Missing",
      "concept": [
        "labels"
      ],
      "topics": [
        "set_na"
      ]
    },
    {
      "page": "spearman_rho",
      "title": "Spearman's Rank Correlation Analysis",
      "concept": [
        "correlation"
      ],
      "topics": [
        "spearman_rho"
      ]
    },
    {
      "page": "std",
      "title": "Standardize Variables (Z-Scores)",
      "concept": [
        "transform"
      ],
      "topics": [
        "std"
      ]
    },
    {
      "page": "strip_tags",
      "title": "Strip Tags from Tagged NAs",
      "concept": [
        "data-import"
      ],
      "topics": [
        "strip_tags"
      ]
    },
    {
      "page": "summary.ancova",
      "title": "Summary method for ANCOVA results",
      "topics": [
        "summary.ancova"
      ]
    },
    {
      "page": "summary.binomial_test",
      "title": "Summary method for binomial test results",
      "topics": [
        "summary.binomial_test"
      ]
    },
    {
      "page": "summary.chi_square",
      "title": "Summary method for chi-squared test results",
      "topics": [
        "summary.chi_square"
      ]
    },
    {
      "page": "summary.chisq_gof",
      "title": "Summary method for chi-square goodness-of-fit test results",
      "topics": [
        "summary.chisq_gof"
      ]
    },
    {
      "page": "summary.codebook",
      "title": "Detailed Console Summary of the Codebook",
      "topics": [
        "summary.codebook"
      ]
    },
    {
      "page": "summary.crosstab",
      "title": "Summary method for crosstab results",
      "topics": [
        "summary.crosstab"
      ]
    },
    {
      "page": "summary.describe",
      "title": "Summary method for describe results",
      "topics": [
        "summary.describe"
      ]
    },
    {
      "page": "summary.dunn_test",
      "title": "Summary method for Dunn post-hoc test results",
      "topics": [
        "summary.dunn_test"
      ]
    },
    {
      "page": "summary.efa",
      "title": "Summarize an exploratory factor analysis",
      "topics": [
        "summary.efa"
      ]
    },
    {
      "page": "summary.factorial_anova",
      "title": "Summary method for factorial ANOVA results",
      "topics": [
        "summary.factorial_anova"
      ]
    },
    {
      "page": "summary.fisher_test",
      "title": "Summary method for Fisher's exact test results",
      "topics": [
        "summary.fisher_test"
      ]
    },
    {
      "page": "summary.frequency",
      "title": "Summary method for frequency results",
      "topics": [
        "summary.frequency"
      ]
    },
    {
      "page": "summary.friedman_test",
      "title": "Summary method for Friedman test results",
      "topics": [
        "summary.friedman_test"
      ]
    },
    {
      "page": "summary.kendall_tau",
      "title": "Summary method for Kendall's tau correlation results",
      "topics": [
        "summary.kendall_tau"
      ]
    },
    {
      "page": "summary.kruskal_wallis",
      "title": "Summary method for Kruskal-Wallis test results",
      "topics": [
        "summary.kruskal_wallis"
      ]
    },
    {
      "page": "summary.levene_test",
      "title": "Summary method for Levene test results",
      "topics": [
        "summary.levene_test"
      ]
    },
    {
      "page": "summary.linear_regression",
      "title": "Summary method for linear regression results",
      "topics": [
        "summary.linear_regression"
      ]
    },
    {
      "page": "summary.logistic_regression",
      "title": "Summary method for logistic regression results",
      "topics": [
        "summary.logistic_regression"
      ]
    },
    {
      "page": "summary.mann_whitney",
      "title": "Summary method for Mann-Whitney test results",
      "topics": [
        "summary.mann_whitney"
      ]
    },
    {
      "page": "summary.marginal_effects",
      "title": "Summary method for average marginal effects",
      "topics": [
        "summary.marginal_effects"
      ]
    },
    {
      "page": "summary.mcnemar_test",
      "title": "Summary method for McNemar test results",
      "topics": [
        "summary.mcnemar_test"
      ]
    },
    {
      "page": "summary.multiple_response",
      "title": "Summary method for multiple response results",
      "topics": [
        "summary.multiple_response"
      ]
    },
    {
      "page": "summary.normality_test",
      "title": "Summary method for normality test results",
      "topics": [
        "summary.normality_test"
      ]
    },
    {
      "page": "summary.oneway_anova",
      "title": "Summary method for one-way ANOVA results",
      "topics": [
        "summary.oneway_anova"
      ]
    },
    {
      "page": "summary.pairwise_wilcoxon",
      "title": "Summary method for pairwise Wilcoxon post-hoc test results",
      "topics": [
        "summary.pairwise_wilcoxon"
      ]
    },
    {
      "page": "summary.partial_cor",
      "title": "Summary method for partial correlation results",
      "topics": [
        "summary.partial_cor"
      ]
    },
    {
      "page": "summary.pearson_cor",
      "title": "Summary method for Pearson correlation results",
      "topics": [
        "summary.pearson_cor"
      ]
    },
    {
      "page": "summary.reliability",
      "title": "Summarize a reliability analysis",
      "topics": [
        "summary.reliability"
      ]
    },
    {
      "page": "summary.scheffe_test",
      "title": "Summary method for Scheffe test results",
      "topics": [
        "summary.scheffe_test"
      ]
    },
    {
      "page": "summary.spearman_rho",
      "title": "Summary method for Spearman correlation results",
      "topics": [
        "summary.spearman_rho"
      ]
    },
    {
      "page": "summary.t_test",
      "title": "Summary method for t-test results",
      "topics": [
        "summary.t_test"
      ]
    },
    {
      "page": "summary.tukey_test",
      "title": "Summary method for Tukey HSD test results",
      "topics": [
        "summary.tukey_test"
      ]
    },
    {
      "page": "summary.wilcoxon_test",
      "title": "Summary method for Wilcoxon signed-rank test results",
      "topics": [
        "summary.wilcoxon_test"
      ]
    },
    {
      "page": "survey_data",
      "title": "Social Survey Data (Synthetic)",
      "topics": [
        "survey_data"
      ]
    },
    {
      "page": "t_test",
      "title": "Test If Two Groups Differ",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "t_test"
      ]
    },
    {
      "page": "to_character",
      "title": "Convert Labelled Variables to Character",
      "concept": [
        "labels"
      ],
      "topics": [
        "to_character"
      ]
    },
    {
      "page": "to_dummy",
      "title": "Create Dummy Variables (One-Hot Encoding)",
      "concept": [
        "recode"
      ],
      "topics": [
        "to_dummy"
      ]
    },
    {
      "page": "to_label",
      "title": "Convert Labelled Variables to Factors",
      "concept": [
        "labels"
      ],
      "topics": [
        "to_label"
      ]
    },
    {
      "page": "to_labelled",
      "title": "Convert Variables to Labelled Format",
      "concept": [
        "labels"
      ],
      "topics": [
        "to_labelled"
      ]
    },
    {
      "page": "to_numeric",
      "title": "Convert Factors or Labelled Variables to Numeric",
      "concept": [
        "labels"
      ],
      "topics": [
        "to_numeric"
      ]
    },
    {
      "page": "tukey_test",
      "title": "Find Which Specific Groups Differ After ANOVA",
      "concept": [
        "posthoc"
      ],
      "topics": [
        "tukey_test",
        "tukey_test.default"
      ]
    },
    {
      "page": "unlabel",
      "title": "Remove All Label Metadata",
      "concept": [
        "labels"
      ],
      "topics": [
        "unlabel"
      ]
    },
    {
      "page": "untag_na",
      "title": "Convert Tagged NAs Back to Original Codes",
      "concept": [
        "data-import"
      ],
      "topics": [
        "untag_na"
      ]
    },
    {
      "page": "update.linear_regression",
      "title": "Update and re-fit a linear_regression model",
      "topics": [
        "update.linear_regression"
      ]
    },
    {
      "page": "update.logistic_regression",
      "title": "Update and re-fit a logistic_regression model",
      "topics": [
        "update.logistic_regression"
      ]
    },
    {
      "page": "val_labels",
      "title": "Get or Set Value Labels",
      "concept": [
        "labels"
      ],
      "topics": [
        "val_labels"
      ]
    },
    {
      "page": "var_label",
      "title": "Get or Set Variable Labels",
      "concept": [
        "labels"
      ],
      "topics": [
        "var_label",
        "var_label<-"
      ]
    },
    {
      "page": "vcov.linear_regression",
      "title": "Variance-covariance matrix of a linear_regression model",
      "topics": [
        "vcov.linear_regression"
      ]
    },
    {
      "page": "w_iqr",
      "title": "Measure Population-Representative Spread (IQR)",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_iqr"
      ]
    },
    {
      "page": "w_kurtosis",
      "title": "Measure Population-Representative Kurtosis",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_kurtosis"
      ]
    },
    {
      "page": "w_mean",
      "title": "Calculate Population-Representative Averages",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_mean"
      ]
    },
    {
      "page": "w_median",
      "title": "Find the Population-Representative Middle Value",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_median"
      ]
    },
    {
      "page": "w_modus",
      "title": "Find the Most Common Value in Your Population",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_modus"
      ]
    },
    {
      "page": "w_quantile",
      "title": "Calculate Population-Representative Percentiles",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_quantile"
      ]
    },
    {
      "page": "w_range",
      "title": "Find the Range of Your Data",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_range"
      ]
    },
    {
      "page": "w_sd",
      "title": "Calculate Population-Representative Standard Deviations",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_sd"
      ]
    },
    {
      "page": "w_se",
      "title": "Calculate Population-Representative Standard Errors",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_se"
      ]
    },
    {
      "page": "w_skew",
      "title": "Measure Population-Representative Skewness",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_skew"
      ]
    },
    {
      "page": "w_var",
      "title": "Calculate Population-Representative Variance",
      "concept": [
        "weighted_statistics"
      ],
      "topics": [
        "w_var"
      ]
    },
    {
      "page": "wilcoxon_test",
      "title": "Compare Two Related Measurements Without Assuming Normality",
      "concept": [
        "hypothesis_tests"
      ],
      "topics": [
        "wilcoxon_test"
      ]
    },
    {
      "page": "write_spss",
      "title": "Export Data to SPSS Format",
      "concept": [
        "data-export"
      ],
      "topics": [
        "write_spss"
      ]
    },
    {
      "page": "write_stata",
      "title": "Export Data to Stata Format",
      "concept": [
        "data-export"
      ],
      "topics": [
        "write_stata"
      ]
    },
    {
      "page": "write_xlsx",
      "title": "Export Data to Excel with Label Support",
      "concept": [
        "data-export"
      ],
      "topics": [
        "write_xlsx",
        "write_xlsx.default",
        "write_xlsx.frequency"
      ]
    },
    {
      "page": "write_xpt",
      "title": "Export Data to SAS Transport Format",
      "concept": [
        "data-export"
      ],
      "topics": [
        "write_xpt"
      ]
    }
  ],
  "_pkglogo": "https://github.com/yannickdiehl/mariposa/raw/HEAD/man/figures/logo.png",
  "_readme": "https://github.com/yannickdiehl/mariposa/raw/HEAD/README.md",
  "_rundeps": [
    "base64enc",
    "cli",
    "digest",
    "dplyr",
    "fastmap",
    "generics",
    "glue",
    "htmltools",
    "lifecycle",
    "magrittr",
    "pillar",
    "pkgconfig",
    "R6",
    "rlang",
    "tibble",
    "tidyselect",
    "utf8",
    "vctrs",
    "withr"
  ],
  "_vignettes": [
    {
      "source": "hypothesis-testing.Rmd",
      "filename": "hypothesis-testing.html",
      "title": "Comparing Groups and Testing Hypotheses",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Choosing the Right Test",
        "Checking Normality First",
        "t-Tests",
        "Independent Samples",
        "Multiple Variables at Once",
        "One-Sample t-Test",
        "Grouped Analysis",
        "One-Way ANOVA",
        "Post-Hoc Tests",
        "Assumption Check",
        "Factorial ANOVA",
        "ANCOVA",
        "Non-Parametric Tests",
        "Mann-Whitney U Test",
        "Kruskal-Wallis H Test",
        "Wilcoxon Signed-Rank Test",
        "Friedman Test",
        "Binomial Test",
        "Categorical Tests",
        "Chi-Square Test of Independence",
        "Effect Sizes for Categorical Data",
        "Fisher's Exact Test",
        "Chi-Square Goodness-of-Fit",
        "McNemar's Test",
        "Interpreting Results",
        "p-Values",
        "Effect Sizes",
        "Multiple Comparisons",
        "Complete Example",
        "Practical Tips",
        "Summary",
        "Parametric Tests",
        "Next Steps"
      ],
      "created": "2025-09-29 06:03:26",
      "modified": "2026-08-26 14:55:13",
      "commits": 8
    },
    {
      "source": "data-transformation.Rmd",
      "filename": "data-transformation.html",
      "title": "Data Transformation",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Recoding with rec()",
        "Simple Recoding",
        "Reverse-Coding",
        "Dichotomizing",
        "Keeping and Copying Values",
        "Dummy Coding with to_dummy()",
        "Basic Usage",
        "Label-Based Column Names",
        "Reference Category (n-1 Coding)",
        "Adding to Existing Data",
        "Standardization with std()",
        "Basic Standardization",
        "Standardization Methods",
        "Weighted Standardization",
        "Group-Wise Standardization",
        "Centering with center()",
        "Grand-Mean Centering",
        "Group-Mean Centering",
        "Weighted Centering",
        "Row Operations",
        "Row Means",
        "Using tidyselect",
        "Using pick()",
        "Minimum Valid Items",
        "Row Sums",
        "Row Count",
        "POMPS Transformation",
        "Complete Example",
        "Practical Tips",
        "Summary",
        "Next Steps"
      ],
      "created": "2026-03-14 06:19:15",
      "modified": "2026-09-30 06:24:30",
      "commits": 3
    },
    {
      "source": "descriptive-statistics.Rmd",
      "filename": "descriptive-statistics.html",
      "title": "Descriptive Statistics and Frequencies",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Summary Statistics with describe()",
        "Basic Usage",
        "Multiple Variables",
        "With Survey Weights",
        "Grouped Analysis",
        "Choosing Statistics",
        "Understanding the Output",
        "Frequency Tables with frequency()",
        "Basic Frequency",
        "Weighted Frequencies",
        "Grouped Frequencies",
        "Cross-Tabulation with crosstab()",
        "Basic Crosstab",
        "Weighted Crosstabs",
        "Grouped Crosstabs",
        "Multiple Response Sets with multiple_response()",
        "Data Dictionary with codebook()",
        "Complete Example",
        "Practical Tips",
        "Summary",
        "Next Steps"
      ],
      "created": "2025-09-29 06:03:26",
      "modified": "2026-09-29 13:42:18",
      "commits": 6
    },
    {
      "source": "data-io.Rmd",
      "filename": "data-io.html",
      "title": "Importing and Exporting Data",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Reading SPSS Files",
        "Basic Import",
        "Tagged Missing Values",
        "Working with Tagged NAs",
        "Reading Other Formats",
        "Stata",
        "SAS",
        "SPSS Portable",
        "Excel",
        "Inspecting Imported Data",
        "Exporting Data",
        "Writing SPSS Files",
        "Writing Stata Files",
        "Writing SAS Transport Files",
        "Writing Excel Files",
        "Roundtripping: SPSS → R → SPSS",
        "Practical Tips",
        "Summary",
        "Next Steps"
      ],
      "created": "2026-03-14 06:19:15",
      "modified": "2026-07-02 07:56:15",
      "commits": 2
    },
    {
      "source": "introduction.Rmd",
      "filename": "introduction.html",
      "title": "Introduction to mariposa",
      "engine": "knitr::rmarkdown",
      "headings": [
        "What is mariposa?",
        "Key Features",
        "The Example Dataset",
        "Five-Minute Tour",
        "1. Explore the Data",
        "2. Transform Variables",
        "3. Compare Groups",
        "4. Post-Hoc Analysis",
        "5. Measure Relationships",
        "6. Build Models",
        "Compact vs. Detailed Output",
        "Grouped Analysis",
        "Quick Reference",
        "Data Import & Export",
        "Label Management",
        "Data Transformation",
        "Descriptive Statistics",
        "Hypothesis Testing",
        "Post-Hoc & Effect Sizes",
        "Scale Analysis",
        "Regression",
        "Weighted Statistics",
        "Guides"
      ],
      "created": "2025-06-30 06:20:41",
      "modified": "2026-09-29 13:42:18",
      "commits": 10
    },
    {
      "source": "labels-and-missing-values.Rmd",
      "filename": "labels-and-missing-values.html",
      "title": "Labels and Missing Values",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Inspecting Labels",
        "Variable Labels",
        "Value Labels",
        "Finding Variables",
        "Setting Labels",
        "Setting Variable Labels",
        "Setting Value Labels",
        "Converting Between Formats",
        "Labelled → Factor",
        "Labelled → Character",
        "Factor → Numeric",
        "Numeric/Factor → Labelled",
        "Declaring Missing Values",
        "Setting Values as Missing",
        "Removing All Labels",
        "Preserving Labels Through Pipelines",
        "The Problem",
        "The Solution: copy_labels()",
        "Cleaning Unused Labels",
        "Complete Example",
        "Practical Tips",
        "Summary",
        "Next Steps"
      ],
      "created": "2026-03-14 06:19:15",
      "modified": "2026-09-30 06:24:30",
      "commits": 3
    },
    {
      "source": "regression-analysis.Rmd",
      "filename": "regression-analysis.html",
      "title": "Regression Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Linear Regression",
        "Simple Regression",
        "Detailed Output",
        "Understanding Coefficients",
        "Multiple Regression",
        "SPSS-Style Interface",
        "With Survey Weights",
        "Grouped Analysis",
        "Interpreting R-squared",
        "Using Transformed Predictors",
        "Logistic Regression",
        "When to Use",
        "Basic Logistic Regression",
        "Understanding Odds Ratios",
        "Multiple Predictors",
        "Interpreting Model Fit",
        "Average Marginal Effects",
        "Complete Example",
        "Practical Tips",
        "Summary",
        "Next Steps"
      ],
      "created": "2026-03-01 20:33:22",
      "modified": "2026-08-26 15:13:38",
      "commits": 4
    },
    {
      "source": "scale-analysis.Rmd",
      "filename": "scale-analysis.html",
      "title": "Scale Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Reliability Analysis",
        "Basic Usage",
        "Detailed Output",
        "Interpreting Cronbach's Alpha",
        "McDonald's Omega",
        "With Survey Weights",
        "Using tidyselect",
        "Grouped Analysis",
        "Exploratory Factor Analysis",
        "Understanding the Output",
        "Rotation Methods",
        "Extraction Methods",
        "Fixing the Number of Factors",
        "Creating Scale Scores",
        "Quick Scale Construction",
        "Using the Scale in Analysis",
        "Complete Example",
        "Practical Tips",
        "Summary",
        "Next Steps"
      ],
      "created": "2026-03-01 20:33:22",
      "modified": "2026-09-30 07:24:30",
      "commits": 7
    },
    {
      "source": "spss-compatibility.Rmd",
      "filename": "spss-compatibility.html",
      "title": "SPSS Compatibility Status",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Summary",
        "Tier Definitions",
        "Per-Function Status",
        "Active Exceptions",
        "Validation Gaps",
        "How to Read \"SPSS-Compatible\"",
        "Methodology"
      ],
      "created": "2026-05-19 11:43:59",
      "modified": "2026-09-30 09:09:45",
      "commits": 11
    },
    {
      "source": "correlation-analysis.Rmd",
      "filename": "correlation-analysis.html",
      "title": "Understanding Relationships: Correlation Analysis",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "Pearson Correlation",
        "Basic Usage",
        "With Survey Weights",
        "Correlation Matrix",
        "Detailed Output",
        "Grouped Analysis",
        "Spearman Correlation",
        "Multiple Variables",
        "Kendall's Tau",
        "Partial Correlation",
        "Interpreting Correlations",
        "Strength Guidelines",
        "Choosing the Right Method",
        "Comparing Methods",
        "Correlation Does Not Imply Causation",
        "Complete Example",
        "Reporting Results (APA Style)",
        "Practical Tips",
        "Summary",
        "Next Steps"
      ],
      "created": "2025-09-29 06:03:26",
      "modified": "2026-09-29 19:52:02",
      "commits": 7
    },
    {
      "source": "survey-weights.Rmd",
      "filename": "survey-weights.html",
      "title": "Working with Survey Weights",
      "engine": "knitr::rmarkdown",
      "headings": [
        "Overview",
        "The Impact of Weights",
        "Weighted Statistics Functions",
        "Central Tendency",
        "Dispersion",
        "Distribution Shape",
        "Precision and Range",
        "Multiple Variables",
        "Effective Sample Size",
        "Weights in Analysis Functions",
        "Grouped Weighted Analysis",
        "Diagnosing Weight Issues",
        "Checking Weight Distribution",
        "Missing Weights",
        "Weight Trimming",
        "Complete Example",
        "Best Practices",
        "Summary",
        "Next Steps"
      ],
      "created": "2025-09-29 06:03:26",
      "modified": "2026-03-14 06:19:15",
      "commits": 4
    }
  ],
  "_score": 6.722633922533812,
  "_indexed": true,
  "_nocasepkg": "mariposa",
  "_universes": [
    "yannickdiehl"
  ],
  "_binaries": [
    {
      "r": "4.7.0",
      "os": "linux",
      "version": "0.7.4",
      "date": "2026-10-01T13:49:51.000Z",
      "distro": "resolute",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/3bf8eb182405aa4caef43bca041a6af5a171a821b258a28ee29cc581228654f8",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    },
    {
      "r": "4.6.1",
      "os": "linux",
      "version": "0.7.4",
      "date": "2026-10-01T13:49:55.000Z",
      "distro": "resolute",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/d4727fca51aacacc07a96c8e0dce3a5ce9c5c8e7c5e818a31f2542ff329f20b5",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    },
    {
      "r": "4.5.3",
      "os": "mac",
      "version": "0.7.4",
      "date": "2026-10-01T14:16:52.000Z",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/872725a30ff4448c0a8f6fa8fa357c87cacd51b31d275e262c973f25dee73ba1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    },
    {
      "r": "4.6.1",
      "os": "mac",
      "version": "0.7.4",
      "date": "2026-10-01T14:14:54.000Z",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/ba20381bc512721007fe52fef158af0665655dce00fdc02316b25c743731be02",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    },
    {
      "r": "4.6.0",
      "os": "wasm",
      "version": "0.7.4",
      "date": "2026-10-01T13:50:06.000Z",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/bc8ac85b015815d123359f94b0abf4dbe93e65fbb7d2ea29872ada7dc83037d1",
      "status": "success",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    },
    {
      "r": "4.7.0",
      "os": "win",
      "version": "0.7.4",
      "date": "2026-10-01T13:48:59.000Z",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/9c2d30d268909537431ebd1b4a643da2a3cc5823efc005caa42ababcd26899f1",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    },
    {
      "r": "4.5.3",
      "os": "win",
      "version": "0.7.4",
      "date": "2026-10-01T13:49:28.000Z",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/fa6410013fcbeb61b0cb6b18bb10afe43725f373f22ecfcb0d0d273e11d26499",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    },
    {
      "r": "4.6.1",
      "os": "win",
      "version": "0.7.4",
      "date": "2026-10-01T13:48:43.000Z",
      "commit": "10559813c2fb893df7274e5fe9421b552c2c2253",
      "fileid": "https://r2.ropensci.org/5d1ac0c65d6b39a0521cd79efcccad911145f0c0d4dac393fca1d8e53d61cd58",
      "status": "success",
      "check": "OK",
      "buildurl": "https://github.com/r-universe/yannickdiehl/actions/runs/36870596123"
    }
  ]
}