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  "Description": "Built upon popular R packages such as 'ggstatsplot' and\n'ARTool', this collection offers a wide array of tools for\nsimplifying reproducible analyses, generating high-quality\nvisualizations, and producing 'APA'-compliant outputs. The\nprimary goal of this package is to significantly reduce\nrepetitive coding efforts, allowing you to focus on\ninterpreting results. Whether you're dealing with ANOVA\nassumptions, reporting effect sizes, or creating\npublication-ready visualizations, this package makes these\ntasks easier.",
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    "%!in%",
    "add_pareto_emoa_column",
    "add_pareto_moocore_column",
    "analyze_and_report",
    "animate_mobo2",
    "assumption_methods_text",
    "check_assumptions_anova",
    "check_homogeneity_by_group",
    "check_normality_by_group",
    "check_questionnaire",
    "checkAssumptionsForAnova",
    "cite_methods",
    "classify_outcome",
    "colley_theme",
    "colleyRstats_setup",
    "debug_contr_error",
    "define_questionnaire",
    "define_result_macro",
    "emit_name_macros",
    "emit_overleaf",
    "expand_latex_macros",
    "figure_base_size",
    "fit_recommended",
    "generateEffectPlot",
    "generateMoboPlot",
    "generateMoboPlot2",
    "ggbetweenstatsWithPriorNormalityCheck",
    "ggbetweenstatsWithPriorNormalityCheckAsterisk",
    "ggwithinstatsWithPriorNormalityCheck",
    "ggwithinstatsWithPriorNormalityCheckAsterisk",
    "latex_escape",
    "latex_preamble",
    "latexify_report",
    "list_questionnaires",
    "n_fun",
    "na.zero",
    "normalize",
    "not_empty",
    "not_in",
    "pathPrep",
    "plot_between_stats",
    "plot_between_stats_asterisk",
    "plot_effect",
    "plot_fit",
    "plot_mobo",
    "plot_mobo2",
    "plot_within_stats",
    "plot_within_stats_asterisk",
    "questionnaire_items",
    "recommend_analysis",
    "recommend_test",
    "remove_outliers_REI",
    "replace_values",
    "report_all",
    "report_art",
    "report_art_con",
    "report_art_con_table",
    "report_clmm",
    "report_dunn_test",
    "report_dunn_test_table",
    "report_ggstatsplot",
    "report_ggstatsplot_posthoc",
    "report_glmm",
    "report_mean_sd",
    "report_nparld",
    "reportART",
    "reportArtCon",
    "reportArtConTable",
    "reportCLMM",
    "reportDunnTest",
    "reportDunnTestTable",
    "reportggstatsplot",
    "reportggstatsplotPostHoc",
    "reportGLMM",
    "reportMeanAndSD",
    "reportNparLD",
    "reportNPAV",
    "reshape_data",
    "reverse_code",
    "rFromNPAV",
    "rFromWilcox",
    "rFromWilcoxAdjusted",
    "save_paper_figure",
    "score_questionnaire",
    "score_reliability",
    "stat_sum_df",
    "summarize_sickness",
    "use_colleyrstats_sty",
    "use_study_project"
  ],
  "_help": [
    {
      "page": "add_pareto_emoa_column",
      "title": "Add 'PARETO_EMOA' Column to a Data Frame",
      "topics": [
        "add_pareto_emoa_column"
      ]
    },
    {
      "page": "add_pareto_moocore_column",
      "title": "Add 'PARETO_MOOCORE' Column to a Data Frame",
      "topics": [
        "add_pareto_moocore_column"
      ]
    },
    {
      "page": "analyze_and_report",
      "title": "Analyze one dependent variable and produce everything a paper needs",
      "topics": [
        "analyze_and_report"
      ]
    },
    {
      "page": "animate_mobo2",
      "title": "Animate a Multi-objective Optimization Plot",
      "topics": [
        "animate_mobo2"
      ]
    },
    {
      "page": "assumption_methods_text",
      "title": "Methods-section sentence justifying the test selection",
      "topics": [
        "assumption_methods_text"
      ]
    },
    {
      "page": "check_homogeneity_by_group",
      "title": "Check homogeneity of variances across groups",
      "topics": [
        "check_homogeneity_by_group"
      ]
    },
    {
      "page": "check_normality_by_group",
      "title": "Check normality for groups",
      "topics": [
        "check_normality_by_group"
      ]
    },
    {
      "page": "check_questionnaire",
      "title": "Show how a questionnaire will be scored, before scoring it",
      "topics": [
        "check_questionnaire"
      ]
    },
    {
      "page": "checkAssumptionsForAnova",
      "title": "Check the assumptions for an ANOVA with a variable number of factors: Normality and Homogeneity of variance assumption.",
      "topics": [
        "checkAssumptionsForAnova",
        "check_assumptions_anova"
      ]
    },
    {
      "page": "cite_methods",
      "title": "Citations and methods boilerplate for the analyses used",
      "topics": [
        "cite_methods"
      ]
    },
    {
      "page": "classify_outcome",
      "title": "Classify the measurement scale of an outcome variable",
      "topics": [
        "classify_outcome"
      ]
    },
    {
      "page": "colley_theme",
      "title": "The colleyRstats ggplot2 theme",
      "topics": [
        "colley_theme"
      ]
    },
    {
      "page": "colleyRstats_setup",
      "title": "Configure Global R Environment for colleyRstats",
      "topics": [
        "colleyRstats_setup"
      ]
    },
    {
      "page": "debug_contr_error",
      "title": "Debug contrast errors in ANOVA-like models",
      "topics": [
        "debug_contr_error"
      ]
    },
    {
      "page": "define_questionnaire",
      "title": "Register your own questionnaire",
      "topics": [
        "define_questionnaire"
      ]
    },
    {
      "page": "define_result_macro",
      "title": "Define a named LaTeX macro for a single result (single source of truth)",
      "topics": [
        "define_result_macro"
      ]
    },
    {
      "page": "emit_name_macros",
      "title": "Generate \\newcommand stubs for variable/factor names",
      "topics": [
        "emit_name_macros"
      ]
    },
    {
      "page": "emit_overleaf",
      "title": "Bundle an analysis into an Overleaf-ready folder",
      "topics": [
        "emit_overleaf"
      ]
    },
    {
      "page": "expand_latex_macros",
      "title": "Expand the colleyRstats LaTeX macros to plain standard LaTeX",
      "topics": [
        "expand_latex_macros"
      ]
    },
    {
      "page": "figure_base_size",
      "title": "Base font size for a figure of a given width",
      "topics": [
        "figure_base_size"
      ]
    },
    {
      "page": "fit_recommended",
      "title": "Fit the model that the data call for, and report it",
      "topics": [
        "fit_recommended"
      ]
    },
    {
      "page": "generateEffectPlot",
      "title": "Function to define a plot, either showing the main or interaction effect in bold.",
      "topics": [
        "generateEffectPlot",
        "plot_effect"
      ]
    },
    {
      "page": "generateMoboPlot",
      "title": "Generate a Multi-objective Optimization Plot",
      "topics": [
        "generateMoboPlot",
        "plot_mobo"
      ]
    },
    {
      "page": "generateMoboPlot2",
      "title": "Generate a Multi-objective Optimization Plot",
      "topics": [
        "generateMoboPlot2",
        "plot_mobo2"
      ]
    },
    {
      "page": "ggbetweenstatsWithPriorNormalityCheck",
      "title": "Check the data's distribution. If non-normal, take the non-parametric variant of _ggbetweenstats_. x and y have to be in parentheses, e.g., \"ConditionID\".",
      "topics": [
        "ggbetweenstatsWithPriorNormalityCheck",
        "plot_between_stats"
      ]
    },
    {
      "page": "ggbetweenstatsWithPriorNormalityCheckAsterisk",
      "title": "Check the data's distribution. If non-normal, take the non-parametric variant of _ggbetweenstats_. x and y have to be in parentheses, e.g., \"ConditionID\".",
      "topics": [
        "ggbetweenstatsWithPriorNormalityCheckAsterisk",
        "plot_between_stats_asterisk"
      ]
    },
    {
      "page": "ggwithinstatsWithPriorNormalityCheck",
      "title": "Check the data's distribution. If non-normal, take the non-parametric variant of _ggwithinstats_. x and y have to be in parentheses, e.g., \"ConditionID\".",
      "topics": [
        "ggwithinstatsWithPriorNormalityCheck",
        "plot_within_stats"
      ]
    },
    {
      "page": "ggwithinstatsWithPriorNormalityCheckAsterisk",
      "title": "Check the data's distribution. If non-normal, take the non-parametric variant of _ggwithinstats_. x and y have to be in parentheses, e.g., \"ConditionID\". Add Asterisks instead of p-values.",
      "topics": [
        "ggwithinstatsWithPriorNormalityCheckAsterisk",
        "plot_within_stats_asterisk"
      ]
    },
    {
      "page": "latex_escape",
      "title": "Escape LaTeX special characters in plain text",
      "topics": [
        "latex_escape"
      ]
    },
    {
      "page": "latex_preamble",
      "title": "LaTeX preamble required by the report functions",
      "topics": [
        "latex_preamble"
      ]
    },
    {
      "page": "latexify_report",
      "title": "Transform text from 'report::report()' into LaTeX-friendly output.",
      "topics": [
        "latexify_report"
      ]
    },
    {
      "page": "list_questionnaires",
      "title": "List the questionnaires this package can score",
      "topics": [
        "list_questionnaires"
      ]
    },
    {
      "page": "n_fun",
      "title": "Build a median/size label for plot annotations",
      "topics": [
        "n_fun"
      ]
    },
    {
      "page": "na.zero",
      "title": "Replace NA values with zero",
      "topics": [
        "na.zero"
      ]
    },
    {
      "page": "normalize",
      "title": "This function normalizes the values in a vector to the range [new_min, new_max] based on their original range [old_min, old_max].",
      "topics": [
        "normalize"
      ]
    },
    {
      "page": "not_empty",
      "title": "Ensure input is not empty",
      "topics": [
        "not_empty"
      ]
    },
    {
      "page": "not_in",
      "title": "Negate '%in%' membership",
      "topics": [
        "%!in%",
        "not_in"
      ]
    },
    {
      "page": "pathPrep",
      "title": "Convert Windows paths to R-friendly format",
      "topics": [
        "pathPrep"
      ]
    },
    {
      "page": "plot_fit",
      "title": "Plot observations with the tests from a fitted analysis",
      "topics": [
        "plot_fit"
      ]
    },
    {
      "page": "questionnaire_items",
      "title": "The items of one questionnaire",
      "topics": [
        "questionnaire_items"
      ]
    },
    {
      "page": "recommend_test",
      "title": "Recommend a principled analysis for one outcome",
      "topics": [
        "recommend_analysis",
        "recommend_test"
      ]
    },
    {
      "page": "remove_outliers_REI",
      "title": "Flag suspicious survey responses via the Response Entropy Index (REI)",
      "topics": [
        "remove_outliers_REI"
      ]
    },
    {
      "page": "replace_values",
      "title": "Replace values across a data frame",
      "topics": [
        "replace_values"
      ]
    },
    {
      "page": "report_all",
      "title": "Analyze and report several dependent variables at once",
      "topics": [
        "report_all"
      ]
    },
    {
      "page": "reportART",
      "title": "Generate the Latex-text based on the ARTool (see <https://github.com/mjskay/ARTool>). The ART result must be piped into an anova(). Only significant main and interaction effects are reported. P-values are rounded for the third digit. Each effect is accompanied by its partial eta squared, derived from the F statistic and its degrees of freedom with 'effectsize::F_to_eta2()', and a two-sided 95% confidence interval. A term is reported as an interaction when its name contains '\":\"'; each factor name is rendered as a '\\Name' macro only when that is a safe new LaTeX command, and as escaped text otherwise. Attention: the independent variables of the formula and the term specifying the participant must be factors (i.e., use as.factor()).",
      "topics": [
        "reportART",
        "report_art"
      ]
    },
    {
      "page": "reportArtCon",
      "title": "Report significant ART contrasts (art.con) as LaTeX text",
      "topics": [
        "reportArtCon",
        "report_art_con"
      ]
    },
    {
      "page": "reportArtConTable",
      "title": "Report ART contrasts (art.con) as a LaTeX table. Customizable with sensible defaults. Companion to 'reportDunnTestTable()'.",
      "topics": [
        "reportArtConTable",
        "report_art_con_table"
      ]
    },
    {
      "page": "reportCLMM",
      "title": "Report a cumulative link (mixed) model in LaTeX/APA style",
      "topics": [
        "reportCLMM",
        "report_clmm"
      ]
    },
    {
      "page": "reportDunnTest",
      "title": "Report dunnTest as text",
      "topics": [
        "reportDunnTest",
        "report_dunn_test"
      ]
    },
    {
      "page": "reportDunnTestTable",
      "title": "report Dunn test as a table. Customizable with sensible defaults.",
      "topics": [
        "reportDunnTestTable",
        "report_dunn_test_table"
      ]
    },
    {
      "page": "reportggstatsplot",
      "title": "Report statistical details for ggstatsplot.",
      "topics": [
        "reportggstatsplot",
        "report_ggstatsplot"
      ]
    },
    {
      "page": "reportggstatsplotPostHoc",
      "title": "Report significant post-hoc pairwise comparisons",
      "topics": [
        "reportggstatsplotPostHoc",
        "report_ggstatsplot_posthoc"
      ]
    },
    {
      "page": "reportGLMM",
      "title": "Report a (generalized) linear mixed model in LaTeX/APA style",
      "topics": [
        "reportGLMM",
        "report_glmm"
      ]
    },
    {
      "page": "reportMeanAndSD",
      "title": "Report the mean and standard deviation of a dependent variable for all levels of an independent variable rounded to the 2nd digit.",
      "topics": [
        "reportMeanAndSD",
        "report_mean_sd"
      ]
    },
    {
      "page": "reportNparLD",
      "title": "Report the model produced by nparLD. The model provided must be the model generated by the command 'nparLD' 'nparLD' (see <https://CRAN.R-project.org/package=nparLD>).",
      "topics": [
        "reportNparLD",
        "report_nparld"
      ]
    },
    {
      "page": "reportNPAV",
      "title": "Generate the Latex-text based on the NPAV by Lüpsen (see <https://www.uni-koeln.de/~luepsen/R/>). Only significant main and interaction effects are reported. P-values are rounded for the third digit and partial eta squared values, with a two-sided 95% confidence interval, are provided when possible. A term is reported as an interaction when its name contains '\":\"'. Attention: the independent variables of the formula and the term specifying the participant must be factors (i.e., use as.factor()).",
      "topics": [
        "reportNPAV"
      ]
    },
    {
      "page": "reshape_data",
      "title": "Reshape Excel Data Based on Custom Markers and Include Custom ID Column",
      "topics": [
        "reshape_data"
      ]
    },
    {
      "page": "reverse_code",
      "title": "Reverse-code responses",
      "topics": [
        "reverse_code"
      ]
    },
    {
      "page": "rFromNPAV",
      "title": "Calculation based on Rosenthal's formula (1994). N stands for the _number of measurements_.",
      "topics": [
        "rFromNPAV"
      ]
    },
    {
      "page": "rFromWilcox",
      "title": "Calculation based on Rosenthal's formula (1994). N stands for the _number of measurements_.",
      "topics": [
        "rFromWilcox"
      ]
    },
    {
      "page": "rFromWilcoxAdjusted",
      "title": "Effect size r from a multiplicity-inflated Wilcoxon p-value (deprecated)",
      "topics": [
        "rFromWilcoxAdjusted"
      ]
    },
    {
      "page": "save_paper_figure",
      "title": "Save a plot with publication-ready defaults",
      "topics": [
        "save_paper_figure"
      ]
    },
    {
      "page": "score_questionnaire",
      "title": "Score a standardised questionnaire",
      "topics": [
        "score_questionnaire"
      ]
    },
    {
      "page": "score_reliability",
      "title": "Internal consistency of a questionnaire's subscales",
      "topics": [
        "score_reliability"
      ]
    },
    {
      "page": "stat_sum_df",
      "title": "Generating the sum and adding a crossbar.",
      "topics": [
        "stat_sum_df"
      ]
    },
    {
      "page": "summarize_sickness",
      "title": "Summarise a motion-sickness time course",
      "topics": [
        "summarize_sickness"
      ]
    },
    {
      "page": "use_colleyrstats_sty",
      "title": "Write colleyRstats.sty into a project (for Overleaf)",
      "topics": [
        "use_colleyrstats_sty"
      ]
    },
    {
      "page": "use_study_project",
      "title": "Scaffold a reproducible study analysis",
      "topics": [
        "use_study_project"
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    }
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        "3. Factorial designs: the Aligned Rank Transform",
        "4. Descriptives",
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        "What is available",
        "Scoring",
        "Item columns must be numbers",
        "Declaring the response range",
        "Adding scores to the data",
        "Verify the mapping before you trust the scores",
        "Incomplete responses",
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        "Your own instruments",
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