R Bootcamp

A snapshot of previous versins can be found at:

• Fall 2020 (recorded sessions available on YouTube here).

• Fall 2019.

• Fall 2018.

Draft of the 2021 version (WIP)

• Lecture 1 What is R? A motivating example of data viz

• Lecture 2 Data wrangling fundamentals

• Lecture 3 Automatic docs with Rmarkdown

This year's presenters: @erickawaguchi and Sarah Piombo.

Website: https://github.com/USCbiostats/rbootcamp

This boot camp has as main goal to give a general overview of scientific computing, and in particular, on the R programming language. It is divided in 3 presentations. More information here.

Prerequisites

We will be using R and RStudio

1. R: download here.
2. RStudio: download here.

References

Wickham, H., and Grolemund, G. (2017) R for Data Science: Visualize, Model, Transform, Tidy, and Import Data. O'Reilly Media. (free online)

Wickham, H. (2019) Advanced R, 2nd Edition. CRC Press. (free online)

Peng, R. (2016) R Programming for Data Science (free online)

Rstudio cheatsheets

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