Further reading
Start here
| R for Data Science (2e) | Wickham, Çetinkaya-Rundel & Grolemund. Free. The default next step |
| The Epidemiologist R Handbook | Task-oriented and health-specific. Excellent for lookups |
| Quarto documentation | Unusually good official docs |
| gtsummary gallery | Copy the table closest to yours |
Visualisation
- ggplot2: Elegant Graphics for Data Analysis (3e): Wickham. Free.
- Fundamentals of Data Visualization: Wilke. On what to plot, not how.
- Data Visualization: A Practical Introduction: Healy. Social-science framing, R throughout.
- R Graph Gallery: find a chart, take its code.
Reproducibility
- Peng RD. Reproducible research in computational science. Science 2011.
- Baker M. 1,500 scientists lift the lid on reproducibility. Nature 2016.
- Ziemann M et al. Gene name errors are widespread. Genome Biol 2016.
- Wickham H. Tidy data. JSS 2014.
- The Turing Way: the most complete free handbook on reproducible research.
Statistics for medical education
- Norman G. Likert scales, levels of measurement and the laws of statistics. Adv Health Sci Educ 2010.
- Cook DA, Beckman TJ. Validity and reliability for psychometric instruments. Am J Med 2006.
- Sullivan GM, Artino AR. Analyzing and interpreting data from Likert-type scales. J Grad Med Educ 2013.
- Altman DG, Doré CJ. Randomisation and baseline comparisons in clinical trials. Lancet 1990.
Writing and publishing
- Quarto manuscripts
- Zotero + Better BibTeX: reference management that plays well with Quarto
- CSL style repository: your journal’s citation style
- EQUATOR Network: reporting guidelines. Find yours before you write, not after.
Generative AI in research
Going further with R
- Advanced R (2e): how R actually works
- R Packages (2e): when your functions outgrow a script
- Happy Git and GitHub for the useR: the gentlest route into version control
- Geocomputation with R: if your data have coordinates
- Targets user manual: pipelines that only re-run what changed
Communities
- R-Ladies: chapters in several Indian cities
- Posit Community: friendlier than Stack Overflow for beginners
- TidyTuesday: a new dataset every week, no stakes