R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics. 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.
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References in zbMATH (referenced in 2 articles )
Showing results 1 to 2 of 2.
- RESSTE Network et al.: Analyzing spatio-temporal data with R: everything you always wanted to know -- but were afraid to ask (2017)
- Baumer, Ben; Cetinkaya-Rundel, Mine; Bray, Andrew; Loi, Linda; Horton, Nicholas J.: R Markdown: integrating a reproducible analysis tool into introductory statistics (2014) MathEduc