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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
df
null.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 issuesThese binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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