https://github.com/uscbiostats/rbootcamp

R boot camp: Scientific Computing
https://github.com/uscbiostats/rbootcamp

education r scientific-computing simulation tutorial

Last synced: 3 days ago
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R boot camp: Scientific Computing

• Host: GitHub
• URL: https://github.com/uscbiostats/rbootcamp
• Owner: USCbiostats
• Created: 2018-04-25T16:01:27.000Z (over 6 years ago)
• Default Branch: master
• Last Pushed: 2024-08-22T23:11:07.000Z (3 months ago)
• Last Synced: 2024-08-23T00:32:50.435Z (3 months ago)
• Topics: education, r, scientific-computing, simulation, tutorial
• Language: HTML
• Homepage:
• Size: 80.3 MB
• Stars: 27
• Watchers: 10
• Forks: 16
• Open Issues: 5
• Metadata Files:
  • Readme: README.md

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README

        
# R Bootcamp 

A snapshot of previous versins can be found at:

- [Fall 2020](https://github.com/USCbiostats/rbootcamp/tree/fall2020)

 (recorded sessions available on YouTube [here](https://www.youtube.com/playlist?list=PLnKhSzUbsBIk_OqfCWx6d2Olv0E9cxHSj)).

- [Fall 2019](https://github.com/USCbiostats/rbootcamp/tree/fall2019).

- [Fall 2018](https://github.com/USCbiostats/rbootcamp/tree/fall2018).

## 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](https://github.com/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](flyer/README.md).

## Prerequisites

We will be using R and RStudio

1.  R: download [here](https://cran.r-project.org/).

2.  RStudio: download [here](https://www.rstudio.com/products/rstudio/download/#download).

# References

Wickham, H., and Grolemund, G. (2017) *R for Data Science: Visualize, Model, Transform, Tidy, and Import Data*. O'Reilly Media. ([free online](http://r4ds.had.co.nz/))

Wickham, H. (2019) *Advanced R*, 2nd Edition. CRC Press. ([free online](https://adv-r.hadley.nz/))

Peng, R. (2016) *R Programming for Data Science* ([free online](https://bookdown.org/rdpeng/rprogdatascience))

[Rstudio cheatsheets](https://www.rstudio.com/resources/cheatsheets/)

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