-
Notifications
You must be signed in to change notification settings - Fork 13
/
README.Rmd
38 lines (23 loc) · 2.47 KB
/
README.Rmd
1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
---
output: github_document
---
```{r setup, include = FALSE}
library(fontawesome)
```
This is the repo for *"Using R and the tidyverse for Data Science"* given at the 2019 Summer Statistical Institute in May 2019.
## Description
This workshop is designed for those who want to learn how to use R to analyze data. The material is based on Hadley Wickham and Garrett Grolemund's [*R for Data Science*](https://r4ds.had.co.nz/index.html). We'll talk about how to conduct a complete data analysis from data import to final reporting in R using a suite of packages known as the [**tidyverse**](https://tidyverse.org). The two goals of this workshop are: 1) learn how to use R to answer questions about our data; and 2) write code that is human readable and reproducible. We will also talk about how to share our code and analyses with others.
## Software Requirements
In order to install the workshop materials (e.g., slides, exercises), you'll need **a laptop that can access the internet** (wifi will be available). Before the workshop, install the following:
1. A recent version of R (~3.6.0), which is available for free at [cran.r-project.org](http://www.cran.r-project.org)
2. A recent version of RStudio IDE (~1.2.1335), available for free at [www.rstudio.com/download](http://www.rstudio.com/download)
3. The set of relevant R packages, which you can install by connecting to the internet, opening RStudio, and running the code in `setup.R`.
More detailed instructions can be found on the [workshop website](https://tidy-ds.wjakethompson.com/prework/local/). Don't forget to bring your power cord!
## Instructor Info
Jake Thompson
* Website: [wjakethompson.com](https://wjakethompson.com)
* GitHub: [wjakethompson](https://github.com/wjakethompson)
* Twitter: [\@wjakethompson](https://twitter.com/wjakethompson)
## License
<a rel="license" href="http://creativecommons.org/licenses/by/4.0/"><img alt="Creative Commons License" style="border-width:0" src="https://i.creativecommons.org/l/by/4.0/88x31.png" /></a>
*Using R and the tidyverse for Data Science* by [Jake Thompson](https://wjakethompson.com) is licensed under a <a rel="license" href="http://creativecommons.org/licenses/by/4.0/">Creative Commons Attribution 4.0 International License</a>. Based on the work of [Garrett Grolemund](https://github.com/rstudio-education/master-the-tidyverse), [Charlotte Wickham](https://github.com/cwickham/data-science-in-tidyverse), and [Amelia McNamara](https://github.com/AmeliaMN/data-science-in-tidyverse).