%>% to |>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.