{ "_id": "6a23b140530b9bc726bd6ed0", "Type": "Package", "Package": "colleyRstats", "Title": "Functions to Streamline Statistical Analysis and Reporting", "Version": "0.0.5", "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", "Roxygen": "list(markdown = TRUE)", "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", "Config/pak/sysreqs": "cmake libgmp3-dev make libicu-dev libjpeg-dev\nlibpng-dev libxml2-dev libmpfr-dev libssl-dev pari-gp\nlibx11-dev zlib1g-dev", "Repository": "https://m-colley.r-universe.dev", "Date/Publication": "2026-06-04 07:22:03 UTC", "RemoteUrl": "https://github.com/m-colley/colleyrstats", "RemoteRef": "HEAD", "RemoteSha": "3bf6f085f9c7a859aa8e24637a4876dbf72a7c35", "NeedsCompilation": "no", "Packaged": { "Date": "2026-06-04 11:12:24 UTC", "User": "root" }, "Author": "Mark Colley [aut, cre, cph] (ORCID:\n)", "Maintainer": "Mark Colley ", "MD5sum": "c7f7e8e84ef77a4e376ba0fcc2184f8e", "_user": "m-colley", "_type": "src", "_file": "colleyRstats_0.0.5.tar.gz", "_fileid": "c037254b5cbdadb4a5f6c7d8f47a5ac0e1db9fd438f20f3c76da74e2bc1a1e9d", "_filesize": 276393, "_sha256": "c037254b5cbdadb4a5f6c7d8f47a5ac0e1db9fd438f20f3c76da74e2bc1a1e9d", "_created": "2026-06-04T11:12:24.000Z", "_published": "2026-06-06T05:33:52.637Z", "_distro": "noble", "_jobs": [ { "job": 79854222915, "time": 258, "config": "linux-devel-x86_64", "r": "4.7.0", "check": "OK", "artifact": "7410026130" }, { "job": 79854222903, "time": 259, "config": "linux-release-x86_64", "r": "4.6.0", "check": "OK", "artifact": "7410026757" }, { "job": 79854222820, "time": 126, "config": "macos-oldrel-arm64", "r": "4.5.3", "check": "FAIL", "artifact": "" }, { "job": 79854223048, "time": 179, "config": 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"remove_outliers_REI", "replace_values", "reportART", "reportArtCon", "reportArtConTable", "reportDunnTest", "reportDunnTestTable", "reportggstatsplot", "reportggstatsplotPostHoc", "reportMeanAndSD", "reportNparLD", "reportNPAV", "reshape_data", "rFromNPAV", "rFromWilcox", "rFromWilcoxAdjusted", "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": "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" ] }, { "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" ] }, { "page": "generateMoboPlot", "title": "Generate a Multi-objective Optimization Plot", "topics": [ "generateMoboPlot" ] }, { "page": "generateMoboPlot2", "title": "Generate a Multi-objective Optimization Plot", "topics": [ "generateMoboPlot2" ] }, { "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" ] }, { "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" ] }, { "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" ] }, { "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" ] }, { "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": "Remove outliers and calculate REI", "topics": [ "remove_outliers_REI" ] }, { "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" ] }, { "page": "reportArtCon", "title": "Report significant ART contrasts (art.con) as LaTeX text", "topics": [ "reportArtCon" ] }, { "page": "reportArtConTable", "title": "Report ART contrasts (art.con) as a LaTeX table. Customizable with sensible defaults. Companion to 'reportDunnTestTable()'.", "topics": [ "reportArtConTable" ] }, { "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" ] }, { "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" ] }, { "page": "reportggstatsplot", "title": "Report statistical details for ggstatsplot.", "topics": [ "reportggstatsplot" ] }, { "page": "reportggstatsplotPostHoc", "title": "Report significant post-hoc pairwise comparisons", "topics": [ "reportggstatsplotPostHoc" ] }, { "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" ] }, { "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" ] }, { "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": "stat_sum_df", "title": "Generating the sum and adding a crossbar.", "topics": [ "stat_sum_df" ] } ], "_readme": "https://github.com/m-colley/colleyrstats/raw/HEAD/README.md", "_rundeps": [ "abind", "afex", "ARTool", "backports", "BayesFactor", "bayestestR", "bitops", "boot", "broom", "BWStest", "ca", "cachem", "car", "carData", "caTools", "cellranger", "cli", "clipr", "cluster", "coda", "codetools", "colorspace", "commonmark", "confintr", "conflicted", "contfrac", "correlation", "corrplot", "corrr", "cowplot", "cpp11", "crayon", "curl", "datawizard", "Deriv", "desc", "deSolve", "doBy", "dplyr", "dunn.test", "effectsize", "elliptic", "emmeans", "estimability", "farver", "fastmap", "FlexParamCurve", "forcats", "foreach", "forecast", "Formula", "fracdiff", "FSA", "gclus", "generics", "ggcorrplot", 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