Garrett Grolemund | R Markdown The bigger picture | RStudio (2019)

Statistics has made science resemble math, so much so that we've begun to conflate p-values with mathematical proofs. We need to return to evaluating a scientific discovery by its reproducibility, which will require a change in how we report scientific results. This change will be a windfall to commercial data scientists because reproducible means repeatable, automatable, parameterizable, and schedulable.
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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.

[@jmochogi]

I just love R markdown. R itself was tough at the beginning but as I keep going, it gets easier. I also love that you can use LaTeX code and even Python inside R and R markdown.

[@clintonmoshe9544]

I love R so so much

[@CannonN]

I'm R fan.

[@hmichaelpower]

Should be required watching for everyone who calls (or wants to) call themselves a scientist

[@yomolandia]

a very awesome presentation!

[@smaranrai4898]

This video is awesomeee!!!!

[@nkristianschmidt]

6:32 your pc dies

[@guilhermecastrol]

Gee, I almost had a heartstroke at 6:35.