{
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  "Package": "Saqrmisc",
  "Type": "Package",
  "Title": "Miscellaneous Functions for Data Processing and Analysis",
  "Version": "0.9.8",
  "Authors@R": "person(\"Mohammed\", \"Saqr\",\nemail = \"saqr@saqr.me\",\nrole = c(\"aut\", \"cre\"))",
  "Description": "A comprehensive R package providing miscellaneous\nfunctions for data processing, statistical analysis, and\nvisualization. Includes functions for latent profile clustering\nvia the 'latents' package, comparison plots with statistical\ntesting, and mosaic plot analysis for categorical variables.\nThe package offers robust error handling, comprehensive\ndocumentation, and user-friendly interfaces for complex\nstatistical tasks.",
  "License": "MIT + file LICENSE",
  "Encoding": "UTF-8",
  "RoxygenNote": "7.3.3",
  "URL": "https://github.com/mohsaqr/Saqrmisc",
  "BugReports": "https://github.com/mohsaqr/Saqrmisc/issues",
  "Remotes": [
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  "Config/pak/sysreqs": "cmake libglpk-dev make libicu-dev libjpeg-dev\nlibpng-dev libuv1-dev libxml2-dev libssl-dev pari-gp\nlibnode-dev libx11-dev zlib1g-dev",
  "Repository": "https://mohsaqr.r-universe.dev",
  "Date/Publication": "2026-09-28 20:27:04 UTC",
  "RemoteUrl": "https://github.com/mohsaqr/Saqrmisc",
  "RemoteRef": "HEAD",
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  "NeedsCompilation": "no",
  "Packaged": {
    "Date": "2026-10-17 22:51:07 UTC",
    "User": "root"
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  "Author": "Mohammed Saqr [aut, cre]",
  "Maintainer": "Mohammed Saqr <saqr@saqr.me>",
  "_user": "mohsaqr",
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  "_created": "2026-10-17T22:51:07.000Z",
  "_published": "2026-10-17T22:57:22.481Z",
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    "message": "Return clustering plots as ggplot objects (0.9.8)\n\nFollows latents 0.8.8, whose plot() methods return ggplot objects:\nplot_clustering() now returns one ggplot or a printable saqr_plots list,\nand offers the new parallel, pairs and tree views.\n",
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    "description": "Professor of Computer Science"
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    "auto_describe",
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    "center",
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    "compare_groups",
    "compare_networks",
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    "correlation_matrix",
    "correlations",
    "counts",
    "data_overview",
    "descriptive_table",
    "estimate_grouped_networks",
    "estimate_single_network",
    "is_outlier",
    "launch_app",
    "missing_analysis",
    "mosaic_analysis",
    "normality_check",
    "outlier_check",
    "pass",
    "plot_clustering",
    "replace_missing",
    "replace_outliers",
    "reverse_code",
    "reverse_code_vec",
    "saqr_result",
    "scale_vars",
    "scale_vec",
    "set_api_key",
    "set_claude_key",
    "set_gemini_key",
    "set_openai_key",
    "set_openrouter_key",
    "standardize",
    "standardize_vec",
    "to_dataframe",
    "to_gt",
    "to_html",
    "to_kable",
    "to_latex",
    "to_markdown",
    "winsorize_vec"
  ],
  "_help": [
    {
      "page": "add_total",
      "title": "Add Row Totals to Data Frame",
      "topics": [
        "add_total"
      ]
    },
    {
      "page": "as.data.frame.mosaic_analysis",
      "title": "Tidy accessor for a mosaic_analysis result",
      "topics": [
        "as.data.frame.mosaic_analysis"
      ]
    },
    {
      "page": "auto_describe",
      "title": "Automatically Generate Descriptive Statistics for All Variables",
      "topics": [
        "auto_describe"
      ]
    },
    {
      "page": "categorical_table",
      "title": "Generate Publication-Ready Frequency Tables for Categorical Variables",
      "topics": [
        "categorical_table"
      ]
    },
    {
      "page": "center",
      "title": "Center Variables (Mean-Centering)",
      "topics": [
        "center"
      ]
    },
    {
      "page": "center_vec",
      "title": "Center a Vector (for use in mutate/across)",
      "topics": [
        "center_vec"
      ]
    },
    {
      "page": "clustering",
      "title": "Latent Profile Clustering",
      "topics": [
        "clustering"
      ]
    },
    {
      "page": "clustering_plot_types",
      "title": "List the Plot Types of plot_clustering()",
      "topics": [
        "clustering_plot_types"
      ]
    },
    {
      "page": "compare_groups",
      "title": "Generate Group Comparison Plots and Statistics",
      "topics": [
        "compare_groups"
      ]
    },
    {
      "page": "compare_networks",
      "title": "Compare Two Networks",
      "topics": [
        "compare_networks"
      ]
    },
    {
      "page": "convert_sequences",
      "title": "Convert Sequence Data to Various Formats",
      "topics": [
        "convert_sequences"
      ]
    },
    {
      "page": "correlation_matrix",
      "title": "Create a Publication-Ready Correlation Matrix",
      "topics": [
        "correlation_matrix"
      ]
    },
    {
      "page": "correlations",
      "title": "Full Pairwise Correlation Table",
      "topics": [
        "correlations"
      ]
    },
    {
      "page": "counts",
      "title": "Count Events per ID",
      "topics": [
        "counts"
      ]
    },
    {
      "page": "data_overview",
      "title": "Quick Dataset Overview",
      "topics": [
        "data_overview"
      ]
    },
    {
      "page": "descriptive_table",
      "title": "Generate Publication-Ready Descriptive Statistics Table",
      "topics": [
        "descriptive_table"
      ]
    },
    {
      "page": "estimate_grouped_networks",
      "title": "Estimate Grouped Networks",
      "topics": [
        "estimate_grouped_networks"
      ]
    },
    {
      "page": "estimate_single_network",
      "title": "Estimate a Single Network",
      "topics": [
        "estimate_single_network"
      ]
    },
    {
      "page": "fitted.saqr_clustering",
      "title": "Input Data with Profile Assignments",
      "topics": [
        "fitted.saqr_clustering"
      ]
    },
    {
      "page": "is_outlier",
      "title": "Check if Value is Outlier (vectorized for mutate/across)",
      "topics": [
        "is_outlier"
      ]
    },
    {
      "page": "launch_app",
      "title": "Launch the Saqrmisc mosaic analysis Shiny app",
      "topics": [
        "launch_app"
      ]
    },
    {
      "page": "missing_analysis",
      "title": "Analyze Missing Data Patterns",
      "topics": [
        "missing_analysis"
      ]
    },
    {
      "page": "mosaic_analysis",
      "title": "Perform a comprehensive mosaic plot analysis",
      "topics": [
        "mosaic_analysis"
      ]
    },
    {
      "page": "normality_check",
      "title": "Check Normality of Variables",
      "topics": [
        "normality_check"
      ]
    },
    {
      "page": "outlier_check",
      "title": "Check for Outliers",
      "topics": [
        "outlier_check"
      ]
    },
    {
      "page": "pass",
      "title": "Pass R Output to AI for Interpretation",
      "topics": [
        "pass"
      ]
    },
    {
      "page": "plot_clustering",
      "title": "Plot a Clustering Result",
      "topics": [
        "plot_clustering"
      ]
    },
    {
      "page": "plot.mosaic_analysis",
      "title": "Plot method for mosaic_analysis objects",
      "topics": [
        "plot.mosaic_analysis"
      ]
    },
    {
      "page": "plot.saqr_clustering",
      "title": "Plot Method for Clustering Results",
      "topics": [
        "plot.saqr_clustering"
      ]
    },
    {
      "page": "print.grouped_network_analysis",
      "title": "Print method for grouped_network_analysis objects",
      "topics": [
        "print.grouped_network_analysis"
      ]
    },
    {
      "page": "print.html_table",
      "title": "Print method for html tables",
      "topics": [
        "print.html_table"
      ]
    },
    {
      "page": "print.latex_table",
      "title": "Print method for latex tables",
      "topics": [
        "print.latex_table"
      ]
    },
    {
      "page": "print.markdown_table",
      "title": "Print method for markdown tables",
      "topics": [
        "print.markdown_table"
      ]
    },
    {
      "page": "print.mosaic_analysis",
      "title": "Print method for mosaic_analysis objects",
      "topics": [
        "print.mosaic_analysis"
      ]
    },
    {
      "page": "print.mosaic_stratified",
      "title": "Print method for stratified mosaic_analysis objects",
      "topics": [
        "print.mosaic_stratified"
      ]
    },
    {
      "page": "print.network_analysis",
      "title": "Print method for network_analysis objects",
      "topics": [
        "print.network_analysis"
      ]
    },
    {
      "page": "print.saqr_clustering",
      "title": "Print a Clustering Result",
      "topics": [
        "print.saqr_clustering"
      ]
    },
    {
      "page": "print.saqr_plots",
      "title": "Print Several Clustering Plots",
      "topics": [
        "print.saqr_plots"
      ]
    },
    {
      "page": "print.saqr_result",
      "title": "Print method for saqr_result",
      "topics": [
        "print.saqr_result"
      ]
    },
    {
      "page": "replace_missing",
      "title": "Replace Missing Values",
      "topics": [
        "replace_missing"
      ]
    },
    {
      "page": "replace_outliers",
      "title": "Replace Outliers",
      "topics": [
        "replace_outliers"
      ]
    },
    {
      "page": "reverse_code",
      "title": "Reverse Code Variables",
      "topics": [
        "reverse_code"
      ]
    },
    {
      "page": "reverse_code_vec",
      "title": "Reverse Code a Vector (for use in mutate/across)",
      "topics": [
        "reverse_code_vec"
      ]
    },
    {
      "page": "saqr_result",
      "title": "Create a saqr_result object",
      "topics": [
        "saqr_result"
      ]
    },
    {
      "page": "scale_vars",
      "title": "Scale Variables",
      "topics": [
        "scale_vars"
      ]
    },
    {
      "page": "scale_vec",
      "title": "Scale a Vector (for use in mutate/across)",
      "topics": [
        "scale_vec"
      ]
    },
    {
      "page": "set_api_key",
      "title": "Set API Key and Options for Session",
      "topics": [
        "set_api_key"
      ]
    },
    {
      "page": "set_claude_key",
      "title": "Set Anthropic (Claude) API Key",
      "topics": [
        "set_claude_key"
      ]
    },
    {
      "page": "set_gemini_key",
      "title": "Set Google Gemini API Key",
      "topics": [
        "set_gemini_key"
      ]
    },
    {
      "page": "set_openai_key",
      "title": "Set OpenAI API Key",
      "topics": [
        "set_openai_key"
      ]
    },
    {
      "page": "set_openrouter_key",
      "title": "Set OpenRouter API Key",
      "topics": [
        "set_openrouter_key"
      ]
    },
    {
      "page": "standardize",
      "title": "Standardize Variables (Z-Score)",
      "topics": [
        "standardize"
      ]
    },
    {
      "page": "standardize_vec",
      "title": "Standardize a Vector (for use in mutate/across)",
      "topics": [
        "standardize_vec"
      ]
    },
    {
      "page": "summary.mosaic_analysis",
      "title": "Summary method for mosaic_analysis objects",
      "topics": [
        "summary.mosaic_analysis"
      ]
    },
    {
      "page": "summary.mosaic_stratified",
      "title": "Summary method for stratified mosaic_analysis objects",
      "topics": [
        "summary.mosaic_stratified"
      ]
    },
    {
      "page": "summary.network_analysis",
      "title": "Summary method for network_analysis objects",
      "topics": [
        "summary.network_analysis"
      ]
    },
    {
      "page": "summary.saqr_clustering",
      "title": "Compare the Candidate Models of a Clustering Result",
      "topics": [
        "summary.saqr_clustering"
      ]
    },
    {
      "page": "to_dataframe",
      "title": "Convert Any Table to Data Frame",
      "topics": [
        "to_dataframe"
      ]
    },
    {
      "page": "to_gt",
      "title": "Convert Table to GT Format",
      "topics": [
        "to_gt"
      ]
    },
    {
      "page": "to_html",
      "title": "Convert Table to HTML Format",
      "topics": [
        "to_html"
      ]
    },
    {
      "page": "to_kable",
      "title": "Convert Table to Kable Format",
      "topics": [
        "to_kable"
      ]
    },
    {
      "page": "to_latex",
      "title": "Convert Table to LaTeX Format",
      "topics": [
        "to_latex"
      ]
    },
    {
      "page": "to_markdown",
      "title": "Convert Table to Markdown Format",
      "topics": [
        "to_markdown"
      ]
    },
    {
      "page": "winsorize_vec",
      "title": "Winsorize a Vector (vectorized for mutate/across)",
      "topics": [
        "winsorize_vec"
      ]
    }
  ],
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      "source": "Saqrmisc-introduction.Rmd",
      "filename": "Saqrmisc-introduction.html",
      "title": "Introduction to Saqrmisc: Comprehensive Data Analysis and Visualization",
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        "Installation and Loading",
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        "Example: Treatment Effect Analysis",
        "Advanced Features",
        "Multiple Stratification Variables",
        "Filtering Specific Levels",
        "Post-hoc Comparison Table",
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        "Key Features",
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        "Basic Usage",
        "Stratified Correlations by Group",
        "Multilevel Correlations",
        "4. Data Transformation",
        "Mean Centering",
        "Z-Score Standardization",
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        "Reverse Coding",
        "5. Descriptive Statistics",
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        "7. Missing Data Analysis",
        "Comprehensive Analysis",
        "Imputation",
        "8. Latent Profile Clustering",
        "9. Categorical Variable Analysis",
        "10. Network Estimation",
        "Best Practices",
        "Data Preparation",
        "Parameter Selection",
        "Interpretation",
        "Getting Help",
        "Conclusion"
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      "created": "2025-07-26 12:22:27",
      "modified": "2026-09-28 18:50:13",
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