English

R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

Other Statistics 2023-08-29 v1

Abstract

Nolan and Temple Lang argue that "the ability to express statistical computations is an essential skill." A key related capacity is the ability to conduct and present data analysis in a way that another person can understand and replicate. The copy-and-paste workflow that is an artifact of antiquated user-interface design makes reproducibility of statistical analysis more difficult, especially as data become increasingly complex and statistical methods become increasingly sophisticated. R Markdown is a new technology that makes creating fully-reproducible statistical analysis simple and painless. It provides a solution suitable not only for cutting edge research, but also for use in an introductory statistics course. We present evidence that R Markdown can be used effectively in introductory statistics courses, and discuss its role in the rapidly-changing world of statistical computation.

Keywords

Cite

@article{arxiv.1402.1894,
  title  = {R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics},
  author = {Ben Baumer and Mine Cetinkaya-Rundel and Andrew Bray and Linda Loi and Nicholas J. Horton},
  journal= {arXiv preprint arXiv:1402.1894},
  year   = {2023}
}

Comments

20 pages, plus a 10 page appendix

R2 v1 2026-06-22T03:04:10.424Z