- Converted
tibble
returns intotdcmm/tibble
return objects (they behave just like tibbles but are in essence our own objects now) - Added partial correlation in
correlate(..., partial = z_var)
- Added correlation with a focus variable
correlate(..., with = focus_var)
- Added linear regression
regress()
- Added one-sample t-test
t_test(..., mu = ...)
- Added
reverse_scale()
,minmax_scale()
,z_scale()
,center_scale()
,setna_scale()
,recode_cat_scale()
,recode_scale()
, anddummify_cale()
to shift and modify continuous and categorical scales - Added
tab_percentiles()
- Added
visualize()
to visualize almost everything - Added
snscomments
andincvlcomments
as additional data sets
- Changed
unianova()
andt_test()
to build onleveneTest()
- Allowed
test_icr()
to work with grouped data - Converted all code examples in documentation to be built on
tidycomm
-provided data sets - Added
omega_squared
,Levene_p
, andvar_equal
columns to default return fromunianova()
- Added
d
,se
,t
, anddf
- Removed
null.value
from list of return values inunianova()
post-hoc test - Renamed
unianova()
return column names toVariable
(previously:Var
),Group_Var
(prev.term
),Delta_M
(prev.estimate
),p
(prev.adj.p.value
),conf.lower
andconf.upper
(prev.conf.low
andconf.high
)
- Unified output to coherent number of after-comma digits
- Added Fretwurst's Lotus and S-Lotus intercoder reliability coeffecients to
test_icr()
function describe_cat()
function added to describe categorical variables
- More descriptive error messages for common errors
describe()
now also reports 95% confidence intervalsdescribe()
now reports valid N instead of full Ntest_icr()
now works withtidyselect
selection
- Empty groups are dropped if describing with more than one grouping variable
- Krippendorff's Alpha returns 1 if variable has only one category
unianova()
now works with variable names containing whitespace- Groups are dropped for
test_icr()
to avoid computational issues