makeFun()
.df_stats(fromat = "long")
compare()
, a pretty version of
sign()
count()
and
tally()
allow mosaicCore
and
dplyr
to co-exist after changes in dplyr
1.0.3.df_stats()
has been updated to handle multiple response
variables on the LHS.fit_distr_fun()
relaxed a small
amount.ci.mean()
, ci.median()
, etc. now coerce
inputs to numeric rather than throwing an error when they are not.breaking change: Naming conventions for
prop()
and df_stats()
have been adjusted
somewhat. While this has the potential to break old code that relied on
the names, the new system is clearer, supports a wider range of
applications, and fixes a bug.
A counts()
method for factors has been added. This
method includes counts of 0 for levels that do not occur.
Formulas in df_stats()
are preprosessed so that
I()
is now seldom (if ever) needed when doing on-the-fly
calculations.
Added n_not_missing()
and n_total()
similar to n_missing()
.
Added ci.mean()
, ci.median()
,
ci.prop()
, and ci.sd()
for computing
confidence intervals.
fit_distr_fun()
which fits distribtuions using
MASS::fitdistr()
but returns a function (density, cdf,
quantile, or random sampling) instead of just the parameters of the
fit.Additional functions from mosaic
have been moved
here.
Improvements to df_stats()
to handle a wider range
of stat functions.
mosaic
and ggformula
have been moved here to support a better dependency structure among the
Project MOSAIC packages. This package is unlikely to be needed in
isolation, but functions from this package will be imported into the
other packages as needed. Some will also be re-exported.