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@cjlortie
whyR
some of the ideas in this talk are disturbingly organized
[tidyverse]
R
transparent
open
reproducible
efficient
workflow capture
do over power
R versus others
language and environment
R versus RStudio
R scripts versus R Markdown
annotation and literate coding
The most important thing is to find
out what is the most important thing
Shunryu Suzuki
WhyR
WhyR
WhyR
WhyR
WhyR
WhyR
WhyR
WhyR
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WhyR

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Introduction to biostatistics in R. Open science, data science, and R go hand in hand. Adventure time, and using R to document workflows, wrangle data, and share ideas is mathemagical. The importance of R versus R Studio, R scripts versus R Markdown, and the ease of R (and the relation to the ease of Zen) are described.
This is a PechaKucha formatted talk.

Published in: Data & Analytics
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WhyR

  1. 1. @cjlortie
  2. 2. whyR
  3. 3. some of the ideas in this talk are disturbingly organized
  4. 4. [tidyverse]
  5. 5. R
  6. 6. transparent open reproducible efficient workflow capture
  7. 7. do over power
  8. 8. R versus others language and environment
  9. 9. R versus RStudio
  10. 10. R scripts versus R Markdown
  11. 11. annotation and literate coding
  12. 12. The most important thing is to find out what is the most important thing Shunryu Suzuki

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