ggmatrix class instead
of gg, ensuring compatibility with the latest ggplot2
changes.tibble returns into tdcmm/tibble
return objects (they behave just like tibbles but are in essence our own
objects now)correlate(..., partial = z_var)correlate(..., with = focus_var)regress()t_test(..., mu = ...)reverse_scale(), minmax_scale(),
z_scale(), center_scale(),
setna_scale(), recode_cat_scale(),
recode_scale(), and dummify_cale() to shift
and modify continuous and categorical scalestab_percentiles()visualize() to visualize almost everythingsnscomments and incvlcomments as
additional data setsunianova() and t_test() to build
on leveneTest()test_icr() to work with grouped datatidycomm-provided data setsomega_squared, Levene_p, and
var_equal columns to default return from
unianova()d, se, t, and
dfnull.value from list of return values in
unianova() post-hoc testunianova() return column names to
Variable (previously: Var),
Group_Var (prev. term), Delta_M
(prev. estimate), p (prev.
adj.p.value), conf.lower and
conf.upper (prev. conf.low and
conf.high)test_icr() functiondescribe_cat() function added to describe categorical
variablesdescribe() now also reports 95% confidence
intervalsdescribe() now reports valid N instead of full Ntest_icr() now works with tidyselect
selectionunianova() now works with variable names containing
whitespacetest_icr() to avoid
computational issues
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