Using the rUM Package for Reproducible Medical Research
Raymond Balise, PhD
Gabriel Odom, PhD ThD
Kyle Grealis, (Almost) MS
Francisco Cardozo, (ABD) PhD





rUM is an R package designed to help lighten the memory load for people who want to use R Markdown or Quarto to support reproducible (biomedical) research.
tidyverse/tidymodelsconflicted and tidyverse packages
conflicted options?tidyverse quietly?dplyr summary note?tidymodels
tidymodels functions?conflicted and tidyverse packagestidymodels

rUM also provides a research project template.

csl: the-new-england-journal-of-medicine.csl which is the reference style template for The New England Journal of Medicine.
Analyses were conducted with
`r stringr::word(R.Version()$version.string, 1, 3)`with the tidyverse (`r packageVersion(“tidyverse”)`), rUM (`r packageVersion(“rUM”)`), table1 (`r packageVersion(“table1”)`) packages used to preprocess and summarize data.[@R-base; @R-tidyverse; @tidyverse2019; @R-rUM; @R-table1]
Analyses were conducted with R version 4.2.0 with the tidyverse (1.3.2), rUM (1.0), table1 (1.4.2) packages used to preprocess and summarize data.1–5
References can then be added to the Rmd or qmd file by emulating what is in the methods section and/or using the point-and-click tools in RStudio’s Visual editor.

