R Bootcamp

A snapshot of the Fall 2018 version can be found here, and snapshot of the Fall 2019 version can be found here.

Draft of the 2020 version (WIP)

Recorded sessions available on YouTube here.

• 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: @NataliaZemlianskaia, @erickawaguchi, and @XUKEREN. With the support of @lailylajiang @AbigailHorn, @EmilHvitfeldt, @malcolmbarrett, and @gvegayon.

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.

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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