Purpose and Design Philosophy | Type System | tabxplor_fmt — The Formatted Number Record | tabxplor_tab — The Table Tibble | tabxplor_grouped_tab — Subtabled Results | Calculation Pipeline | tab() vs tab_many() | tab_many() Vectorisation Philosophy | tab_plain() — The Aggregation Core | tab_num() — Numeric Column Variables | The Reference System | Mean-Diff Asymmetry | Confidence Intervals | Color System | Layer 1 — Palettes | Layer 2 — Breaks | Layer 3 — Color Selection | Export System | tab_xl() — Excel Export (R/tab_xl.R) | tab_kable() — HTML/LaTeX Export (R/tab_classes.R) | tab_md() — Markdown Export (R/tab_md.R) | tab_plot() — ggplot Visualization (R/tab_classes.R) | dplyr Integration | The Core Trio | Method List | The mutate.tabxplor_fmt Method | Options System | File-by-File Guide | R/fmt_class.R (3341 lines) | R/tab.R (5809 lines) | R/tab_classes.R (3554 lines) | R/tab_xl.R (4132 lines) | R/tab_md.R (366 lines) | R/utils.R (1306 lines) | R/tab_logit.R and R/tab_logit_2.R (WIP) | R/jmvtab.b.R and R/jmvtab.h.R

Base usage: cross-tables with color helpers for data exploration | References and comparison levels for colors | Confidence intervals | Chi2 stats and contributions of cells to variance | Combine tabxplor and dplyr | Draw more complex tables with tab_many | Export to html or Excel | Programming with tabxplor