Package index • tabxplor

Main functions

tab(): Cross-tables with color helpers
tab_reg(): All-in-one tables for regressions, with each modelled effect beside its observed one
tab_counts(): Cross-tables from already-aggregated counts

Point-and-click interface (jamovi)

The two analyses tabxplor adds to jamovi – everything the package does, driven by menus. Install jamovi, open the modules menu (the + at the top-right), choose jamovi library, and install tabxplor.

jmvtab(): Crosstables
jmvtabreg(): Regressions

Reshaping and combining

Change the shape of a finished table; nothing is recomputed.

tab_spread(): Turn a sub-table variable into columns
tab_compact(): Bind a list of tables into one
tab_transpose(): Swap the rows and columns of a cross-table

Export a finished table

tab_export(): Export a table to html, Excel or Markdown (wrapper)
tab_html() tab_kable(): Render a table as html
tab_md(): Render a table as Markdown
tab_xl(): Write a table to an Excel workbook
tab_css(): The stylesheet an html table needs

Charts

(Both need ggplot2.)

forest_plot(): Forest plot of any tabxplor table
reg_check_plots(): Diagnostic plots of a regression model

Data-prep and text helpers

Small utilities for preparing data or laying out a table.

score_from_lv1(): Score a set of factors by counting their first level
shape_numeric_var(): Cut or transform a numeric variable
tab_wrap_text(): Wrap column names and long labels
tab_parallel_stop(): Stop the tabxplor parallel worker pool

Superseded entry points

They still work and give the same numbers; tab() has absorbed all three, and scale + pct_type have absorbed the fourth.

tab_many() superseded: Many cross-tables as one, with color helpers
tab_num() superseded: Means table
tab_plain() superseded: Plain single cross-table
set_type() get_type() superseded: Column types, the tabxplor 1.x spelling

What a cell shows, and how it is coloured

The vocabulary of display =, then of color =.

tabxplor-display: What a table cell shows: the display grammar
set_color_palette() set_color_style() get_color_style() set_color_breaks() get_color_breaks(): Colours: palettes, styles and breaks
conf_level_to_z(): Convert confidence levels into z thresholds

What a model can be, and what it fitted

reg_measures(): What can this outcome be modelled as?
reg_formulas(): The model formulas a regression table fitted

Options

Every default lives in a tabxplor.* option.

tabxplor-options tabxplor.options: The tabxplor options, and their defaults

Inspect a table

What have I got? – the table as a whole, then column by column.

tab_structure() experimental: The structure of a table
tab_columns() experimental: Every fmt column of a table, and what it carries
get_test(): Read a table's statistical tests
is_tab(): Is this a tabxplor table?
as.matrix(<tabxplor_tab>) as.table(<tabxplor_tab>): Hand a table to base R

The type system

What a table and its cells are made of: the tabxplor_fmt vctrs record behind every numeric cell, where a field varies from cell to cell and an attribute holds for a whole column, and the attributes the table itself carries.

fmt() is_fmt(): Create an fmt vector, the tabxplor cell
get_num() set_num() is_totrow() get_row_kind() set_row_kind() as_totrow() is_tottab() as_tottab() set_display() is_refrow() as_refrow() get_digits() get_pvalue() set_digits() set_pvalue(): Per-cell fields of a fmt vector
get_scale() set_scale() get_pct_type() set_pct_type() is_totcol() as_totcol() get_comp_all() set_comp_all() get_ref_type() set_ref_type() set_diff_type() get_col_var() set_col_var() get_col_group() get_model_family() set_model_family() get_ci_method() is_refcol() as_refcol() get_color() get_color_bg() get_color_signif() set_color() set_color_signif(): Per-column attributes of a fmt vector
fmt_attr() `fmt_attr<-`(): Read or write one fmt column attribute, by name
new_tab() new_grouped_tab(): Build a tabxplor_tab around fmt columns
set_caption() get_caption(): Store a caption on a table
fmt_get_color_code(): The html color code of a fmt vector