R Markdown: The Bigger Picture (EARL London 2018)

October 2, 2019 Garrett Grolemund


Data Science is threatened by a looming credibility crisis: too many scientific results are not reproducible. Unfortunately, data scientists have accidentally contributed to the problem. We made science look like math, implying that one can prove scientific results (p < 0.05) without reproducing them. We need to adopt a new standard of reproducibility, one that encompasses the data, code, and decisions that underly scientific work. This change will be a windfall to commercial data scientists because code-based reproducibility is repeatable, automatable, parameterizable, and schedulable.

About the Author

Garrett Grolemund

Garrett is a data scientist and master instructor for RStudio. He excels at teaching, statistics, and teaching statistics. He wrote the popular lubridate package and is the author of Hands On Programming with R and the upcoming book, Data Science with R, from O’Reilly Media. He holds a PhD in Statistics and specializes in Data Visualization.

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