• Fixes an issue where format(digits = 0) was still being used despite no longer being allowed
  • Fixes the use of sample weights combined with factor variables that have missing values.
  • Fixes an error that occurs if a character variable with lots of different values is specified in vars in sumtable.
  • Fixes an issue with haven_labelled class variables where value labels weren’t recognized in vtable.
  • Fixes an issue where custom star markers are not recognized in sumtable.
  • Date variables maintain class before being evaluated for summ in vtable, and also lush = TRUE produces medians and nuniq() for dates instead of mean, SD, and nuniq.
  • Fixes an issue where group headers didn’t show up properly in sumtable() with out = 'kable' if run outside of knitr.
  • Adds variable formatting options to sumtable().
  • Adds count and frequency columns to labeltable().
  • Other minor fixes.
  • format option of sumtable() changed to numformat to avoid namespace issues.
  • Added obs.function option to sumtable() to make it easier to swap out the function used to count observations.
  • Made it possible to use a named vector/list to change numformat option for only some variables in sumtable(), instead of having to specify every single variable.
  • Updated vignettes.
  • Fixed issue where default out option did not work running inside of knitr rendering to Word.
  • Fixed issue with escaped characters in kables.
  • Added formatfunc() function to easily customize numformat options.
  • Fixed bug introduced by 1.4.2 relating to grouped sumtables when one group has all-missing values of a variable.
  • Improved performance of formatfunc() with prefixes and negative values combined.
  • Changed factor-level formatting in vtable() slightly.
  • Fixes an issue in sumtable where characters were not being properly escaped when building to Quarto/RMarkdown and out is not specified.
  • Fixes an issue in sumtable with the combination of tibbles and factor.numeric = TRUE.
  • Adds second approach to weighted SD calculations to allow for weights that represent reliability/precision.