tabxplor 2.0.0

New features

• tab() is the unified entry point. It takes several row_vars and col_vars, merged into one table or returned as a list with output_list = TRUE, and composes with tab_vars; col_vars = a*b crosses two column variables. tab_many() is a soft-deprecated alias.
• tab_reg() — colour-coded regression tables (linear, logistic, Poisson, multinomial, ordinal), on weighted and survey data, with model comparison, marginal effects and every export format. Its estimand is a cascade, family → link → measure → effect. See vignette("tabxplor-reg").
  • Every modelled effect sits beside its observed (crude) counterpart — the same quantity fitted with one predictor instead of all of them — so what adjustment changed is read across the table. color = "adjustment" colours that gap and tests it; empirical = FALSE turns it off.
  • Every regression table checks itself: linearity, proportional odds, dispersion, influence and collinearity, one footer row per model. shape = is the cure — fit a continuous predictor as quantile groups, a curve, or a log / sqrt transformation.
  • jamovi: a new “Regression models” analysis (jmvtabreg); Crosstables gains a reference-level picker, level merging, export, tooltips and the new options, each named after its R argument.
• tab_counts() builds a full colour-coded table from already-aggregated counts instead of microdata. forest_plot() draws any tabxplor table as estimates with their intervals, stars and own cell colours, returning a modifiable ggplot; reg_check_plots() draws the model checks.
• Weights and survey designs. Pass a survey::svydesign() as data and strata, clusters, fpc and calibration reach every interval, test and colour; options(tabxplor.design_effect = TRUE) does the same, exactly, for a plain weight column. A weighted table’s footer states its basis.
• Correct confidence intervals, asymmetric where they should be (Wilson, Newcombe, Welch, Katz), chosen with one named vector ci_method = c(cell =, diff =, mean_diff =, mean_ratio =). ci says only where the interval sits; significance stars are opt-in (stars =) and read that interval.
• Whole-table tests: an effect size (Cramér’s V, phi, eta²), Fisher’s exact on a sparse table, a one-way ANOVA for mean columns, and Haberman’s adjusted residual behind color = "contrib".
• Redesigned colour API. Position picks the visual channel (1st value → text, 2nd → background), color = TRUE is the smart per-column-type default, and every ladder is the same ladder written in another measure, so a shade means the same deviation whichever measure a table is read on. OKLCH palettes, set_color_palette(), color_breaks, a theme = "auto" dark mode, and black-and-white publication palettes (theme = "print_ready") saying it all typographically.
• One display grammar for both producers. Named layouts ("est", "est_ci", "est_base", …) built on {} tokens — display = "{pct} (n={n})" — where {est} is whatever the column estimates and {base} the level it sits on. It is post-hoc: set_display() on a finished table gives the same table as asking at build time. Every cell of a percentage table now carries its odds ratio.
• shape = decides how a number enters a table: quantile groups, bands at the mean and one standard deviation either side, one level per value, or a "log" / "sqrt" transformation. A numeric row_vars / tab_vars is grouped rather than exploded; a mean cell shows 49 (cv 36%).
• New tab() arguments:
  • spread_vars (each level of a sub-table variable becomes a block of columns, with one Total row and one n column per block)
  • n = c("range", "min", "no") (how many people the table is about)
  • n_min, common_totrow and na = "common_base".
• tab_export() is one entry point for every format, and tab_html() (the new name for tab_kable()) renders through a new dependency-free engine, about 3× faster and restylable because its geometry is CSS classes; tab_css() writes one stylesheet for a whole document. Also new: options(tabxplor.print = "html") with hover tooltips, caption =, transpose = TRUE.
• Excel export moved to openxlsx2: a ratio stays a real number that sorts and filters while printing 1/2.11, column widths fit their content, a secondary number becomes a column of its own, and tab_xl(check = "auto") draws the model-check plots under a regression table.
• Introspection accessors. tab_structure() says what a table is and what can be done with it, tab_columns() what every numeric column estimates and how it is coloured, fmt_attr() any one column fact by name, reg_measures() and reg_formulas() the same for models.
• as.matrix() and as.table() hand a table to base R — the numbers as a plain matrix, or a base table with named dimnames — dropping the totals and the display-time rows, because a correspondence analysis or a chi-squared test run on a table’s own margins is wrong: FactoMineR::CA(as.matrix(tab(gss_cat, race, marital))).
• French translations of every legend, footer and message (options(tabxplor.lang = "fr"), a lang = argument, or the locale), on a bilingual pkgdown website. Labelled data (haven): value labels become factor levels. Parallel builds with options(tabxplor.parallel = TRUE).

Changes that may affect existing code

• Dependencies reshuffled. magrittr / stringr / crayon are dropped, so %>% is no longer re-exported — use the base |> pipe. kableExtra and DescTools move to Suggests, Excel export from openxlsx to openxlsx2, and survey / nnet / MASS become hard dependencies.
• The base count, add_pct and the chi-squared / ANOVA p-values are drawn at display time, not stored as columns and rows. Read them with Total$n and get_test().
• For numeric (mean) columns the diff field is a real difference, the cell/reference ratio moving to ratio, and a cell shows a coefficient of variation instead of a standard deviation; a numeric row_vars / tab_vars is grouped rather than exploded. shape = "values_to_levels" and display = "mean_sd" restore the old output exactly.
• tab(na = "drop") with several col_vars drops each column’s own missing values (the old shared base is now na = "drop_all").
• The colour thresholds moved for pct_ratio, mean_ratio and mean_diff, and the background channel keeps the two ratio scales’ loudest rungs only. set_color_breaks() restores any of them.
• A weighted table’s whole-table test and effect size are computed on the weighted table (only those two were still unweighted), Fisher’s exact is skipped under weights, and color = "contrib" significance reads the adjusted residual on the unweighted n.
• Everything past the variable roles must be named, tab() and its siblings taking ... right after their variable arguments: an unnamed extra argument is refused, a typo gets a suggestion, and an abbreviation that used to partial-match silently is refused. An unknown value now aborts too.
• A variable with a level named "Total" (or "Ensemble") is refused, naming the level: those are tabxplor’s own total-row labels. Rename it, or move them with options(tabxplor.total_names =).
• fmt column attributes: type is split into scale (what the column estimates) and pct_type (which kind of percentage), ci_type is gone, and a new col_group names a column block’s sub-population. Only code building or inspecting fmt vectors is affected; see vignette("tabxplor-programming").
• tab_transpose() is a supported reshape operation again (it was soft-deprecated in the pre-release): it is the way to get a transposed object, and the only way to put a mean on a row, since a number given to row_vars is always cut into levels. Use the exporters’ transpose = TRUE when only the output matters. A transposed column now claims only what its parts agreed on, by the same rule every bind_rows() follows.
• Options renamed, the old names still read: tabxplor.total_names replaces the total_names / totaltab_name / other_level arguments, and tabxplor.stars carries the star ladder.

Bug fixes

• tab() could not use a column whose name was not syntactic: tab(data, x, `my var`) aborted saying the column did not exist.
• A factor carrying NA as a real level (factor(..., exclude = NULL), common in imported data) no longer crashes print(), format() or any export.
• pct = "col" and na = "drop_all" failed on an ordered row variable, on printing or exporting; and tab(pct = "all", ci = "cell") errored, weighted or not.
• The lang argument now works on Linux, and switching language mid-session keeps the new one.
• tab_spread() lost the table’s whole test summary, and dplyr::bind_rows() on two grouped tables lost the weight footnote, colour legend and caption.
• ref / ref2 accept "last", and errors are clearer for an unknown named ref, a variable used on two axes, or an all-zero weight. tab() accepts a data.table and a logical col_var.
• dplyr::bind_rows() on two tables with different columns crashed on printing: the missing cells come back all-NA, which the colour engine could not read. They now render blank everywhere.
• A column holding unlike quantities — a transposed table with percentage AND mean columns, or a bind of the two — coloured a mean difference on the percentage-point ladder, sending it to the deepest shade. It now grades only the cells its ladder can read, and says so once; color = "ratio" grades them all.

Deprecations

Soft-deprecated

• Functions: tab_many() (a shim over tab()) and the step-by-step chain tab_pct() / tab_tot() / tab_totaltab() / tab_ci() / tab_chi2().
• tab() arguments: singular row_var / col_var, sup_cols (use col_vars), filter (filter upstream), names_prefix / names_sort (they belong to tab_spread()), add_n (use n =), total_names / totaltab_name / other_level (use options(tabxplor.total_names =)), OR (use display = "{or}" / ref2 = "cumulative"), ci = "diff" / "ratio" (use ci = "ref"), chi2 (use test), method_cell / method_diff (use ci_method), and "diff_ci" / "after_ci" / "ci" (use color + color_signif).
• Export arguments, accepted and ignored with a message: color_type, html_24_bit, html_font, full_width, position, and tab_xl(n_min =, hide_near_zero =) — width, font and placement are CSS rules now (tab_css()), and n_min is a tab() argument. Every other unknown argument of tab_html() / tab_md() / tab_xl() / tab_css() / forest_plot() is an error with a suggestion, as it already was on tab().
• Elsewhere: tab_xl(print_color_legend =) → color_legend =, set_diff_type() → set_ref_type(), the in_totrow cell field → row_kind (is_totrow() and x$in_totrow are unchanged), and options(tabxplor.signif_levels) / options(tabxplor.signif_labels).
• The fmt attribute type, which said both what a column estimates and which percentage it is: get_type() / set_type() and fmt(type =) translate into scale + pct_type (see ?tabxplor-type) and are defunct in 2.1.0.

Hard-deprecated (defunct in 2.1.0)

• The step-by-step chain warns on every call. What goes away is the chaining API, not the statistics: tab() and tab_num() compute the same numbers, in one pass.
• tab_prepare(), complete_partial_totals() and fct_recode_helper() will become internal or be removed; tab_prepare()’s work is done by tab() itself.

Removed (now an error)

• Functions: tab_plot() and kable_tabxplor_style() — use tab_export() and tab_html().
• The kableExtra HTML engine, with engine = (accepted and ignored) and the options tabxplor.tab_kable_engine, tabxplor.always_add_css_in_tab_kable, tabxplor.kable_html_font. kableExtra stays optional, and is no longer what opens a table in the Viewer: tab_html() paints that page itself, to match the table’s theme.
• Options: method_ratio and its siblings, tabxplor.ci_print (use display = "base_ci" / "base_moe"), tabxplor.compact, tabxplor.color_style_type.
• The fmt attribute ci_type, with get_ci_type() / set_ci_type() and fmt()’s ci_type = argument: the stored interval is always on the estimate’s own scale.

tabxplor 1.3.1

• jmvtab() : added “Export to Excel” button to use tab_xl() in Jamovi UI.

• Small bug corrections.

tabxplor 1.3.0

Added

• tab_many() : with several row_vars, adding compact = TRUE bind all tables in a single one (but only works if no tab_vars are provided). tab_compact() can be used to do the same on tab_plain().
• by default, chi2 pvalue is now added as a row in the tables (below total rows): there is no more chi2 table in attribute by default (but you can still add it manually with tab_chi2()). tab_pvalue_lines() do that from attr(tabs, "chi2").
• by default with tabxplor_tab, arrange() now keeps the order of groups and totals
• in tab_num(), if all means < 10, display 1 digit ; if all means < 1, display 2 digits
• tab_kable() now works with a list of tab, if all col_vars are the same and there are no tab_vars

Bug corrections

• in tab_kable(), escape signif stars * with  in .rmd only, otherwise it breaks the html
• ci = "cell" didn’t work with pct = "col" with non pct rows

tabxplor 1.2.1

Added

• in tab() and tab_many(), possibility to add unweighted counts (add_n = TRUE) ; and with row and column percentages a row or column with the other kind of percentage (add_pct = TRUE)
• kable_tabxplor_style() : same html table style than tab_kable(), but for any data.frame.
• with color = "diff", a ×2 color rule was added
• enhanced printing of confidence intervals for differences
• enhanced printing of pvalue (<0.01% style), Chi2 number added in Chi2 tables.

Bug corrections

• reference columns were lost with pct = "col"
• tab_kable()and tab_plot() : removed unwanted bold formatting

tabxplor 1.2.0

Added

• jmvtab() : implementation of tab_many() for Jamovi, with a user interface
• tab_plot() : print tables as ggplot, to export as images
• tab_wrap_text() : function to wrap text in rownames and colnames

tabxplor 1.1.3

Bug corrections

• tab_kable() : html tags in tables were no longer working and were appearing as text (knitr::kable() now needs a format = "html" argument)

tabxplor 1.1.2

Added

• tab_kable() : a color_legend argument have been added, to possibly remove the legend.

Bug corrections

• tab_color_legend had a mistake causing an error

tabxplor 1.1.1

Added

• fct_recode_helper() : helper function to recode multiple variables with forcats::fct_recode.
• complete_partial_totals() : complete partial total rows, total tables, and reference rows.

Bug corrections

• tab_spread : incomplete subtables led to partial total rows, total tables and reference rows.
• tab_xl : with sheets = "unique", multiple empty sheets were created anyway
• crayon() error with colors in tabs printing on R 4.2.2
• color printing was not working with only one numeric col_var

tabxplor 1.1.0

Added

• tab_plain have been separated in two functions, tab_plain for factors, tab_num for numeric variables
• tab_plain and tab_num have been rewrited in data.table to gain speed with big databases.

tabxplor 1.0.3

Added

• Remove rows with missing values or 0 in wt (weight), for them not to be added in counts (except in tab_plain)
• fmt_get_color_code() : get the html color codes of a table as a character vector

Bug corrections

• tab_many : bug with totaltab when two numeric column variables (and a tabs_var)
• tab_spread not working with two tab_vars. Ok with a workaround, but would need to calculate one subtotal for each level of spread_vars in * tab_totaltab to fully work (and, then, to fully hierarchise total tables…).
• wt argument procudes missing values with NA ; NA in weight variable are now automatically removed (excepted in tab_plain)
• Addition between fmt vectors wasn’t working no more with percentages
• In tab_plain, col_var was not sorted anymore (names_sort = TRUE added in pivot_wider)
• tab_color_legend() was not working when some cols were colored and some not colored
• In tab() functions, correction was made to remove a R 4.1.2 dplyr warning message (data frame results in filter() are deprecated, use if_any() or if_all()).

tabxplor 1.0.2

Added

• With tab_kable, option to use html popover instead of tooltips, to be able to use it in rmarkdown with a floating table of content.
• Two new 24 bits color styles for hmtl tables ("blue_red" and "green_red").
• Possibility to provide a custom color palette for color styles, using set_color_style().
• tab_core was deprecated and renamed tab_plain for more clarity. Added options to render a table with normal numeric vectors instead of fmt, and to render a plain data.frame instead of a tibble.
• Two way to print confidence intervals, using global option "tabxplor.ci_print" : "moe", for margin of errors, prints as 12%±1.1 ; "ci" prints the interval 11·13%.
• In tab_kable, confidence intervals of type "cell with print type "moe" appear in subscript.
• In tab_xl, colors now are the same and works in the same way that tab and tab_kable.

Bug corrections

• With tab argument color = "after_ci", when diff is negative, cells between 0 and -5% don’t get colors.
• Problems in tab_plain with zero-rows dataframes
• With color = "contrib", no color when contribution is equal to the mean contribution (or a multiple of it).
• With tab_kable, white spaces are producing unwanted text wrapping (in the middle of numbers)
• In tabs and tooltips, diff not printing good with type = "mean".

tabxplor 1.0.1

• Add possibility to export tables in html using kableExtra.
• Ensure functions do not write by default in the user’s home filespace.

Bug corrections

• Change color style not working in R CMD check : add possibility to change color style with global options.
• Total rows appear even when not wanted in tab and tab_many.
• tab_many not working with listed = "TRUE"

tabxplor 1.0.0

• This is the first stable and published version of tabxplor.