statsExpressions 1.2.0
BREAKING CHANGES
-
A number of effect size estimates and their confidence intervals have
changed due to respective changes made in{effectsize}package version
0.5release. For full details of these changes, see:
https://easystats.github.io/effectsize/news/index.html -
For the same reason, the effect size for one-way contingency table has
changed from Cramer's V to Pearson's C.
NEW FUNCTIONS
-
centrality_description()function added to describe distribution for each
level of a grouping variable and create an expression describing a
centrality measure. -
Adds new experimental function
tidy_model_expressions()to create
expressions for dataframes containing tidied results from regression model
objects.
MAJOR CHANGES
-
Removes the redundant
bf_extractorfunction. Thetidy_model_parameters
does the same thing. -
Exports more utility functions (
long_to_wide_converter,format_num,
stats_type_switch) to get rid of reliance onipmiscpackage. -
To be consistent with the expressions, the dataframe for Bayesian analysis
now also contain log of Bayes Factor values. -
The
tidy_model_effectsize()function is no longer exported as it is
helpful only for the internal workings of the package. -
Given that these values can be really high, the statistic values for
non-parametric tests were shown on a log scale, but this is a highly
non-standard practice that has caused a lot of confusion among users. In
light of this feedback, the functions no longer return these values on a log
scale but in a scientific notation to keep the statistical expressions
short.
MINOR CHANGES
- Removes
VR_dilemmadataset, which lacked enough variation to be a good
dataset to use in examples or tests.