NEWS
doudpackage 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.
doudpackage 2.0.1 (2023-03-09)
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)