sumExtras: “SUMmary table EXTRAS”
Overview
sumExtras reduces the repetitive boilerplate in gtsummary workflows. One function replaces five. Stop copy-pasting add_overall(), add_p(), bold_labels(), and modify_header() on every table and instead call extras() once. The package also handles missing value cleanup, automatic variable labeling from data dictionaries, group header styling, and JAMA compact theming.
Installation
CRAN
install.packages("sumExtras")Development version
# install.packages("pak")
pak::pak("kyleGrealis/sumExtras")Quick Start
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Standard gtsummary
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With sumExtras
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That single extras() call replaces add_overall(), add_p(), bold_labels(), bold_p(), and modify_header(). It also standardizes missing values via clean_table().
Functions
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extras()– overall column, p-values (bolded), bold labels, clean styling -
clean_table()– standardize missing value display -
add_auto_labels()– automatic labeling from dictionaries or data attributes -
use_jama_theme()/theme_gt_compact()– JAMA compact themes -
add_group_styling()– bold/italic formatting for group headers -
add_group_colors()– background colors for group headers (converts to gt) -
get_group_rows()– extract group header row indices
Options
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options(sumExtras.auto_labels = TRUE)– add labels through the project without needingadd_auto_labels()for each table -
options(sumExtras.prefer_dictionary = TRUE)– change the labeling priority
More Info
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vignette("sumExtras-intro")– getting started -
vignette("labeling")– dictionary-based labeling -
vignette("themes")– JAMA themes for gtsummary and gt -
vignette("styling")– group headers and advanced formatting -
vignette("options")– .Rprofile options for auto-labeling - Bug reports & feature requests
FAQ
Why not just use gtsummary directly? You can. sumExtras wraps the formatting steps you repeat on every table. If you only make one or two tables, you don’t need this package.
What happens if something fails inside extras()? It warns and continues. Your table always renders. See the warn-and-continue design in vignette("sumExtras-intro").
Why didn’t my dictionary labels show up? Your data likely has label attributes that take priority. Set options(sumExtras.prefer_dictionary = TRUE) or see vignette("labeling").
Does extras() work with survey data? Yes. tbl_svysummary tables get the same treatment as tbl_summary.
Contributing
Bug reports, feature requests, and feedback are welcome at https://github.com/kyleGrealis/sumExtras/issues.
