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  "Title": "High-Level Functions for Tabulating, Charting and Reporting\nSurvey Data",
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  "Date": "2026-02-07",
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  "URL": "https://github.com/strohne/volker,\nhttps://strohne.github.io/volker/",
  "BugReports": "https://github.com/strohne/volker/issues",
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  "Repository": "https://strohne.r-universe.dev",
  "Date/Publication": "2026-05-29 08:59:41 UTC",
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    "add_model",
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    "cluster_tab",
    "codebook",
    "data_clean",
    "data_clean_default",
    "data_prepare",
    "diagnostics_cooksd",
    "diagnostics_qq",
    "diagnostics_resid_fitted",
    "diagnostics_scale_location",
    "effect_counts",
    "effect_counts_items",
    "effect_counts_items_grouped",
    "effect_counts_items_grouped_items",
    "effect_counts_one",
    "effect_counts_one_grouped",
    "effect_metrics",
    "effect_metrics_items",
    "effect_metrics_items_cor",
    "effect_metrics_items_cor_items",
    "effect_metrics_items_grouped",
    "effect_metrics_one",
    "effect_metrics_one_cor",
    "effect_metrics_one_grouped",
    "ends_with",
    "factor_plot",
    "factor_tab",
    "filter",
    "html_report",
    "idx_add",
    "labs_apply",
    "labs_clear",
    "labs_restore",
    "labs_store",
    "model_metrics_plot",
    "model_metrics_tab",
    "model_plot",
    "model_tab",
    "mutate",
    "pdf_report",
    "plot_counts",
    "plot_counts_items",
    "plot_counts_items_cor",
    "plot_counts_items_grouped",
    "plot_counts_items_grouped_items",
    "plot_counts_one",
    "plot_counts_one_cor",
    "plot_counts_one_grouped",
    "plot_metrics",
    "plot_metrics_items",
    "plot_metrics_items_cor",
    "plot_metrics_items_cor_items",
    "plot_metrics_items_grouped",
    "plot_metrics_one",
    "plot_metrics_one_cor",
    "plot_metrics_one_grouped",
    "report_counts",
    "report_metrics",
    "select",
    "skim_metrics",
    "starts_with",
    "tab_counts",
    "tab_counts_items",
    "tab_counts_items_cor",
    "tab_counts_items_grouped",
    "tab_counts_one",
    "tab_counts_one_cor",
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    "tab_metrics",
    "tab_metrics_items",
    "tab_metrics_items_cor",
    "tab_metrics_items_cor_items",
    "tab_metrics_items_grouped",
    "tab_metrics_one",
    "tab_metrics_one_cor",
    "tab_metrics_one_grouped",
    "theme_set",
    "theme_vlkr",
    "tibble",
    "tribble"
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      "title": "ChatGPT Adoption Dataset CG-GE-APR23",
      "object": "chatgpt",
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        "tbl",
        "data.frame"
      ],
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        "use_private",
        "use_work",
        "cg_adoption_advantage_01",
        "cg_adoption_advantage_02",
        "cg_adoption_advantage_03",
        "cg_adoption_advantage_04",
        "cg_adoption_fearofuse_01",
        "cg_adoption_fearofuse_02",
        "cg_adoption_fearofuse_03",
        "cg_adoption_fearofuse_04",
        "cg_adoption_social_01",
        "cg_adoption_social_02",
        "cg_adoption_social_03",
        "cg_adoption_social_04",
        "adopter",
        "sd_age",
        "sd_gender",
        "cg_activities",
        "cg_act_write",
        "cg_act_test",
        "cg_act_search"
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      "rows": 101,
      "table": true,
      "tojson": true
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      "title": "Add cluster number to a data frame",
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      "title": "Add PCA columns along with summary statistics (KMO and Bartlett test) to a data frame",
      "topics": [
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    },
    {
      "page": "add_index",
      "title": "Calculate the mean value of multiple items",
      "topics": [
        "add_index"
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    },
    {
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      "title": "ChatGPT Adoption Dataset CG-GE-APR23",
      "topics": [
        "chatgpt"
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    },
    {
      "page": "codebook",
      "title": "Get variable and value labels from a data set",
      "topics": [
        "codebook"
      ]
    },
    {
      "page": "effect_counts",
      "title": "Output effect sizes and test statistics for count data",
      "topics": [
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      ]
    },
    {
      "page": "effect_metrics",
      "title": "Output effect sizes and test statistics for metric data",
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      ]
    },
    {
      "page": "html_report",
      "title": "Volker style HTML document format",
      "topics": [
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      ]
    },
    {
      "page": "labs_apply",
      "title": "Set column and value labels",
      "topics": [
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      ]
    },
    {
      "page": "labs_clear",
      "title": "Remove all comments from the selected columns",
      "topics": [
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      ]
    },
    {
      "page": "labs_restore",
      "title": "Restore labels from the codebook store in the codebook attribute.",
      "topics": [
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      ]
    },
    {
      "page": "labs_store",
      "title": "Get the current codebook and store it in the codebook attribute.",
      "topics": [
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    },
    {
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      "title": "Volker style PDF document format",
      "topics": [
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      ]
    },
    {
      "page": "plot_counts",
      "title": "Output a frequency plot",
      "topics": [
        "plot_counts"
      ]
    },
    {
      "page": "plot_metrics",
      "title": "Output a plot with distribution parameters such as the mean values",
      "topics": [
        "plot_metrics"
      ]
    },
    {
      "page": "report_counts",
      "title": "Create table and plot for categorical variables",
      "topics": [
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      ]
    },
    {
      "page": "report_metrics",
      "title": "Create table and plot for metric variables",
      "topics": [
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    },
    {
      "page": "tab_counts",
      "title": "Output a frequency table",
      "topics": [
        "tab_counts"
      ]
    },
    {
      "page": "tab_metrics",
      "title": "Output a table with distribution parameters",
      "topics": [
        "tab_metrics"
      ]
    },
    {
      "page": "theme_vlkr",
      "title": "Define a default theme for volker plots",
      "topics": [
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      ]
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        "How to use the volkeR package?",
        "How to generate tables and plots?",
        "Categorical variables",
        "Metric variables",
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        "Theming",
        "Labeling",
        "The volker report template",
        "Custom tab sheets",
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        "Reliability Scores and Classification Performance Indicators",
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      "modified": "2026-01-10 14:37:21",
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