Changes in version 2.2.0 (2026-09-25)                  

Bug fixes

  - A statistical test that cannot be computed no longer aborts the
    whole table. The p value is NA, a warning names the variable, and
    the rest of the table is produced. This used to fail with
    non-numeric argument to mathematical function for a constant
    variable, a factor with a single or an empty level, an all-NA
    column, a quantitative variable with a single observation, or a
    group with a single level.
  - Unused levels of the group variable — typically left behind by a
    subset of the data — are now dropped with a warning instead of
    producing a whole column of NaN (NA).
  - group_rows_labels now reorders the rows so that the variables of a
    label are contiguous and the labels follow the order they were given
    in. Row spans no longer overlap.
  - group_rows_labels now matches whole variable names: a label on age
    no longer drags in the rows of age_group.
  - group_rows_labels referring to a variable that has no row in the
    table used to silently empty the whole table; it is now an error
    naming the variables available.
  - parseClassFun() failed with levels_to_keep because filter() resolved
    to stats::filter.
  - digits.ql was ignored for the Total column of the missing values of
    a quantitative variable.
  - A tibble is accepted, as the documentation already claimed.
  - ["table"] is always a data.frame; without a group it used to be a
    tibble.
  - group = NULL now means the same as no group.
  - quali = FALSE together with quanti = FALSE is reported as such
    instead of failing with object 'lst_VarGroup.quanti' not found.
  - col.order no longer fails when the table has no group.
  - Variables of an unhandled type (character, Date, logical...) raise a
    warning and are ignored instead of throwing an error.
  - Ordered factors are handled as factors.
  - Rows with a missing value in the group variable are removed, with a
    warning.
  - Bug correction when parsing the table if only the group variable had
    two levels.
  - The row names of ["table"] are no longer the leftovers of
    intermediate filtering.
  - Argument checking gives an explicit message for an unknown group
    variable, a group that is not a factor, a group with fewer than two
    non empty levels, an empty dataset, and duplicated columns in
    col.order.

New features

  - normality = "assess" is implemented: a Shapiro-Wilk test decides
    variable by variable between mean (SD) with a parametric test, and
    median (IQR) with a non parametric one.
  - anaBiv() on a data.frame works; it accepts normality and digits.p.
    It previously failed for every input.
  - [ on a VarGroup (the elements returned by anaBiv()) also gives
    access to "name", "type" and "normal".
  - parseClassFun() takes a font argument, instead of always using
    arial.
  - Parallel processing added as an option (parallel, mc.cores).

Breaking changes

  - normality = "manual" is no longer accepted. It has never done
    anything but raise an error; use "assess", "normal" or "non normal".

Other

  - A testthat suite covers the analyses, the rendering and every bug
    above.
  - The package no longer imports stringi.

                 Changes in version 2.0.1 (2023-03-09)                  

  - CRAN availability

Major changes

  - Added more than 2 sub-groups
  - Choice between normal and non normal variables to use either t
    test/Wilcoxon or ANOVA/Kruskal-Wallis

Minor changes

  - Faster implementation (no loop used)