Data Analysis in R: Summary and Assessment

Recommended sources for this chapter include R documentation, R for Data Science, tidy data principles, clinical data management good practice guidance, REDCap publications, statistical guidance on presenting numerical data, and reproducible table-generation literature [@rcore2024r; @wickham2023r4ds; @wickham2014tidydata; @scdm2024gcdmp; @harris2009redcap; @harris2019redcap; @altman1996numerical; @sjoberg2021gtsummary]. These sources support the chapter's emphasis on reproducible descriptive summaries, clear denominators, careful treatment of missing data, readable tables, and contextual interpretation. Learners should continue to align all descriptive outputs with the protocol, data management plan, data dictionary, and statistical analysis plan. ---