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" R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics "
Baumer, Ben; Cetinkaya-Rundel, Mine; Bray, Andrew; Loi, Linda; Horton, Nicholas J.
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AL
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| Record Number
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937227
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LA90b2f5xh
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English
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| Main Entry
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Baumer, Ben; Cetinkaya-Rundel, Mine; Bray, Andrew; Loi, Linda; Horton, Nicholas J.
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| Title & Author
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R Markdown: Integrating A Reproducible Analysis Tool into Introductory Statistics [Article]\ Baumer, Ben; Cetinkaya-Rundel, Mine; Bray, Andrew; Loi, Linda; Horton, Nicholas J.
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| Title of Periodical
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Technology Innovations in Statistics Education
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8/1
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2014
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| Abstract
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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.
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