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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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