| | Day 1
Essentials | Day 2
Statistics | Day 3
Plotting | Day 4
Productivity |
|:--|:-------------|:-------------|:-------------|:--------------|
|0| Welcome!
slides | none | Recap | Recap |
|1| What is R?
slides, practical, solutions | Data Wrangling
slides, practical, solutions|Tidying Code
slides | Efficient code |
|2| Objects in R
slides, practical, solutions | Statistics
slides, practical, solutions| Plotting 1.0: ggplot
slides, practical | Dynamic Reports |
|3| Data I/O
slides, practical, solutions|Machine Learning
slides, practical, solutions | Plotting 2.0: shiny
slides, practical | Next Steps |
To save data, right-click and "save link as..."
knitr::include_graphics("https://raw.githubusercontent.com/therbootcamp/therbootcamp.github.io/master/assets/img/schedule_Sep2017.png")
R for Data Science by Grolemund and Wickham: http://r4ds.had.co.nz/
YaRrr! The Pirate's Guide to R! https://bookdown.org/ndphillips/YaRrr/
Advanced R by Wickham: http://adv-r.had.co.nz/
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.