tidycomm 0.4.2
Installation / Compatibility
- Minimum required R version increased from 2.10 to 3.6.0.
Bugfixes
- Updated GGally usage to rely on
ggmatrix class instead
of gg, ensuring compatibility with the latest ggplot2
changes.
- Migrated tests to testthat v3 to maintain correct test
behavior.
Documentation
- Merged README.Rmd with index for pkgdown site.
- Updated links to reflect the new GitHub organization
(https://github.com/tidycomm/tidycomm).
- Enabled Bootstrap 5 and light/dark switch for the pkgdown
documentation site.
tidycomm 0.4.1
tidycomm 0.3.0
New features
- Converted
tibble returns into tdcmm/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(), and dummify_cale() to shift
and modify continuous and categorical scales
- Added
tab_percentiles()
- Added
visualize() to visualize almost everything
- Added
snscomments and incvlcomments as
additional data sets
Minor changes
- Changed
unianova() and t_test() to build
on leveneTest()
- 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, and
var_equal columns to default return from
unianova()
- Added
d, se, t, and
df
- Removed
null.value from list of return values in
unianova() post-hoc test
- Renamed
unianova() 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)
Bugfixes
- Unified output to coherent number of after-comma digits
tidycomm 0.2.0
New features
- Added Fretwurst’s Lotus and S-Lotus intercoder reliability
coeffecients to
test_icr() function
describe_cat() function added to describe categorical
variables
Minor changes
- More descriptive error messages for common errors
describe() now also reports 95% confidence
intervals
describe() now reports valid N instead of full N
test_icr() now works with tidyselect
selection
Bugfixes
- 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