Provides an extensible formula system to quickly and easily create production quality tables. The steps of the process are formula parser, statistical content generation from data, to rendering. Each step of the process is separate and user definable thus creating a set of building blocks for highly extensible table generation. A user is not limited by any of the choices of the package creator other than the formula grammar. For example, one could chose to add a different S3 rendering function and output a format not provided in the default package. Or possibly one would rather have Gini coefficients for their statistical content. Routines to achieve New England Journal of Medicine style, Lancet style and Hmisc::summaryM() statistics are provided. The package contains rendering for HTML5, Rmarkdown and an indexing format for use in tracing and tracking are provided.
|Author||Shawn Garbett [aut, cre], Thomas Stewart [ctb], Jennifer Thompson [ctb], Frank Harrell [ctb], Ahra Kim [ctb]|
|Maintainer||Shawn Garbett <Shawn.Garbett@vumc.org>|
|Package repository||View on GitHub|
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