R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

Benjamin Baumer, Mine Cetinkaya-Rundel, Andrew Bray, Linda Loi, Nicholas Horton

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Nolan and Temple Lang argue that “the ability to express statistical computations is an es- sential 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 experiential and statistical evidence that R Markdown can be used effectively in introductory statistics courses, and discuss its role in the rapidly-changing world of statistical computation.
Original languageEnglish
Pages (from-to)1-29
JournalTechnology Innovations in Statistics Education
Volume8
Issue number1
Publication statusPublished - 2014

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