R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics

TL;DR

R Markdown is a user-friendly tool that enhances reproducibility in statistical analysis, suitable for both research and introductory courses, addressing challenges of complex data and methods.

Contribution

This paper introduces R Markdown as an accessible technology for reproducible analysis, demonstrating its effective integration into introductory statistics education.

Findings

R Markdown improves reproducibility in statistical analysis.

It is effective for teaching introductory statistics.

The tool adapts well to complex data and methods.

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.