| factorH-package | factorH: Multifactor rank-based ANOVA utilities |
| balance.chisq.datatable | Count-balance chi-square diagnostics across factors |
| dataset.factorH | Datasets in factorH |
| factorH | factorH: Multifactor rank-based ANOVA utilities |
| factorH-dataset | Datasets in factorH |
| factorH-reference | factorH functions reference |
| factorH-syntax | Syntax and formula patterns |
| factorH_dataset | Datasets in factorH |
| factorH_reference | factorH functions reference |
| factorH_syntax | Syntax and formula patterns |
| levene.plan.datatable | Levene/Brown-Forsythe test for full-plan cells |
| mimicry | Mimicry dataset |
| nonpar.datatable | Compact descriptive tables (APA-style) with global rank means |
| normality.datatable | Raw normality per subgroup (Shapiro–Wilk) across factor combinations |
| plan.diagnostics | Plan-level diagnostics for ANOVA/rank-based workflows |
| reference.factorH | factorH functions reference |
| residuals.cellwise.normality.datatable | Cellwise residual normality (Shapiro–Wilk) from ANOVA models |
| residuals.normality.datatable | Global residual normality (Shapiro–Wilk) from ANOVA models |
| srh.effsize | SRH with effect sizes for two-factor designs |
| srh.kway | K-way SRH on ranks with tie-corrected p-values and rank-based effect sizes |
| srh.kway.full | Full pipeline: rank-based k-way ANOVA + descriptives + post hocs |
| srh.posthoc | Dunn post hoc in a symmetric matrix form (one specified effect) |
| srh.posthocs | Dunn post hoc tables (p.adj only) for all effects in a factorial design |
| srh.simple.posthoc | Simple-effects post hoc (Dunn) with Bonferroni adjustment |
| srh.simple.posthocs | Simple-effects post hoc tables for all possible effects (within-scope) |
| syntax.factorH | Syntax and formula patterns |
| write.srh.kway.full.tsv | Write full SRH pipeline result to a TSV file |