{ "_id": "6a2b7761578398594318ffe5", "Type": "Package", "Package": "colleyRstats", "Title": "Functions to Streamline Statistical Analysis and Reporting", "Version": "0.1.0", "Authors@R": "person(\"Mark\", \"Colley\", , \"mark.colley@yahoo.de\", role = c(\"aut\", \"cre\", \"cph\"), comment = c(ORCID = \"0000-0001-5207-5029\"))", "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.", "URL": "https://github.com/M-Colley/colleyRstats", "BugReports": "https://github.com/M-Colley/colleyRstats/issues", "License": "MIT + file LICENSE", "Encoding": "UTF-8", "RoxygenNote": "8.0.0", "Language": "en-US", "Config/testthat/edition": "3", "Config/Needs/check": "anthonynorth/roxyglobals", "Config/roxyglobals/unique": "TRUE", "Config/testthat/parallel": "false", "VignetteBuilder": "knitr", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-12 03:00:16 UTC", "User": "root" }, "Author": "Mark Colley [aut, cre, cph] (ORCID:\n)", "Maintainer": "Mark Colley ", "Repository": "https://cran.r-universe.dev", "Date/Publication": "2026-06-11 22:40:02 UTC", "RemoteUrl": "https://github.com/cran/colleyRstats", "RemoteRef": "HEAD", "RemoteSha": "f1eb8325140ef9cb44804216308ce66205f8c12a", "MD5sum": 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"generateEffectPlot", "generateMoboPlot", "generateMoboPlot2", "ggbetweenstatsWithPriorNormalityCheck", "ggbetweenstatsWithPriorNormalityCheckAsterisk", "ggwithinstatsWithPriorNormalityCheck", "ggwithinstatsWithPriorNormalityCheckAsterisk", "latex_preamble", "latexify_report", "n_fun", "na.zero", "normalize", "not_empty", "not_in", "pathPrep", "plot_between_stats", "plot_between_stats_asterisk", "plot_effect", "plot_mobo", "plot_mobo2", "plot_within_stats", "plot_within_stats_asterisk", "remove_outliers_REI", "replace_values", "report_all", "report_art", "report_art_con", "report_art_con_table", "report_dunn_test", "report_dunn_test_table", "report_ggstatsplot", "report_ggstatsplot_posthoc", "report_mean_sd", "report_nparld", "reportART", "reportArtCon", "reportArtConTable", "reportDunnTest", "reportDunnTestTable", "reportggstatsplot", "reportggstatsplotPostHoc", "reportMeanAndSD", "reportNparLD", "reportNPAV", "reshape_data", "rFromNPAV", "rFromWilcox", "rFromWilcoxAdjusted", "save_paper_figure", "stat_sum_df" ], "_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": "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": "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": "colleyRstats_setup", "title": "Configure Global R Environment for colleyRstats", "topics": [ "colleyRstats_setup" ] }, { "page": "data-the-data-frame", "title": "Replace values across a data frame", "topics": [ "data the data frame", "replace_values" ] }, { "page": "debug_contr_error", "title": "Debug contrast errors in ANOVA-like models", "topics": [ "debug_contr_error" ] }, { "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_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": "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": "remove_outliers_REI", "title": "Flag suspicious survey responses via the Response Entropy Index (REI)", "topics": [ "remove_outliers_REI" ] }, { "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 ). 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. Attention: Effect sizes are not calculated! 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": "reportDunnTest", "title": "Report dunnTest as text. Required commands in LaTeX: '\\newcommand{\\padjminor}{\\textit{p$_{adj}<$}}' '\\newcommand{\\padj}{\\textit{p$_{adj}$=}}' '\\newcommand{\\rankbiserial}[1]{$r_{rb} = #1$}'", "topics": [ "reportDunnTest", "report_dunn_test" ] }, { "page": "reportDunnTestTable", "title": "report Dunn test as a table. Customizable with sensible defaults. Required commands in LaTeX: '\\newcommand{\\padjminor}{\\textit{p$_{adj}<$}}' '\\newcommand{\\padj}{\\textit{p$_{adj}$=}}' '\\newcommand{\\rankbiserial}[1]{$r_{rb} = #1$}'", "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": "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 ).", "topics": [ "reportNparLD", "report_nparld" ] }, { "page": "reportNPAV", "title": "Generate the Latex-text based on the NPAV by Lüpsen (see ). Only significant main and interaction effects are reported. P-values are rounded for the third digit and partial eta squared values are provided when possible. 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": "rFromNPAV", "title": "Calculation based on Rosenthal's formula (1994). N stands for the _number of measurements_. Necessary command:", "topics": [ "rFromNPAV" ] }, { "page": "rFromWilcox", "title": "Calculation based on Rosenthal's formula (1994). N stands for the _number of measurements_.", "topics": [ "rFromWilcox" ] }, { "page": "rFromWilcoxAdjusted", "title": "rFromWilcoxAdjusted", "topics": [ "rFromWilcoxAdjusted" ] }, { "page": "save_paper_figure", "title": "Save a plot with publication-ready defaults", "topics": [ "save_paper_figure" ] }, { "page": "stat_sum_df", "title": "Generating the sum and adding a crossbar.", "topics": [ "stat_sum_df" ] } ], "_readme": "https://github.com/cran/colleyRstats/raw/HEAD/README.md", "_rundeps": [ "abind", "afex", "backports", "BayesFactor", "bayestestR", "bitops", "boot", "broom", "BWStest", "cachem", "car", "carData", "caTools", "cli", "coda", "colorspace", "confintr", "contfrac", "correlation", "cowplot", "cpp11", "datawizard", "Deriv", "desc", "deSolve", "doBy", "dplyr", "effectsize", "elliptic", "farver", "fastmap", "forcats", "forecast", "Formula", "fracdiff", "generics", "ggcorrplot", "ggplot2", "ggpmisc", "ggpp", "ggrepel", "ggside", "ggsignif", "ggstatsplot", "glue", "gmp", "gridExtra", "gtable", "hypergeo", "insight", "isoband", "kSamples", "labeling", "lattice", "lifecycle", "lme4", "lmerTest", "lmtest", "lubridate", "magrittr", "MASS", "Matrix", "MatrixModels", "memoise", "mgcv", "microbenchmark", "minqa", "modelbased", "modelr", "multcompView", "mvtnorm", "nlme", "nloptr", "nnet", "numDeriv", "paletteer", "parameters", "patchwork", "pbapply", "pbkrtest", "performance", "pillar", "pkgconfig", "plyr", "PMCMRplus", "polynom", "prismatic", "purrr", "quantreg", "R6", "rbibutils", "RColorBrewer", "Rcpp", "RcppArmadillo", "RcppEigen", "RcppParallel", "Rdpack", "reformulas", "rematch2", "reshape", "reshape2", "rlang", "Rmpfr", "rstantools", "rstudioapi", "S7", "scales", "see", "SparseM", "splus2R", "statsExpressions", "stringi", "stringr", "SuppDists", "survival", "tibble", "tidyr", "tidyselect", "timechange", "timeDate", "urca", "utf8", "vctrs", "viridisLite", "withr", "WRS2", "xts", "zoo" ], "_vignettes": [ { "source": "getting-started.Rmd", "filename": "getting-started.html", "title": "Getting started with colleyRstats", "engine": "knitr::rmarkdown", "headings": [ "Session setup", "Example data", "Check assumptions", "Create a plot", "Produce a reporting sentence", "Next steps" ], "created": "2026-05-03 17:11:45", "modified": "2026-05-03 17:11:45", "commits": 1 } ], "_score": 3.3979400086720375, "_indexed": false, "_nocasepkg": "colleyrstats", "_universes": [ "cran" ], "_indexurl": "https://m-colley.r-universe.dev/colleyRstats", "_previous": "0.0.4", "_binaries": [ { "r": "4.7.0", "os": "linux", "version": "0.1.0", "date": "2026-06-12T03:03:34.000Z", "distro": "noble", "commit": "f1eb8325140ef9cb44804216308ce66205f8c12a", "fileid": "a8daf317fff8d6b18310b406f745bde587366ce446a3e26b9f5ce26e92976c58", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27391483153" }, { "r": "4.6.0", "os": "linux", "version": "0.1.0", "date": "2026-06-12T03:03:20.000Z", "distro": "noble", "commit": "f1eb8325140ef9cb44804216308ce66205f8c12a", "fileid": "fca480caebb51150f674b6dc18e6f61970597d9fae42684a0b1b9122502112b8", "status": "success", "check": "OK", "buildurl": "https://github.com/r-universe/cran/actions/runs/27391483153" }, { "r": "4.6.0", "os": "wasm", "version": "0.1.0", "date": "2026-06-12T03:03:52.000Z", "commit": "f1eb8325140ef9cb44804216308ce66205f8c12a", "fileid": "3deb8b03aaf2be388ea0c1793cd91e1f1a1ed8ca8fff4bc7f0049742361c9e47", "status": "success", "buildurl": "https://github.com/r-universe/cran/actions/runs/27391483153" } ] }