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intro-r-data-analysis/lesson_0/lesson_0.Rmd
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@ -37,23 +37,63 @@ Please consult the links provided for additional tips, and feel free to reach ou
## Install R
Please watch this quick video guide on how to install R, and then use the link below.
1. Go to the R project website: https://cloud.r-project.org/
2. At the top of the page click the download link for your operating system
**MacOS**
- There are separate links for M-series macs and older intel ones
- Click the link to download the .pkg file for your system
- If you are not sure which CPU your Mac has, check the System Information app
**Windows**
- Click "base", then the "Download R-4.X.X for Windows"
- Run the .exe file, you might need admin permissions for the installation
**NOTE MacOS users: With the new MacOS updates, updating R might require you to re-install your packages. While not in issue for many people, you have been warned**
![](https://vimeo.com/203516510)
https://cloud.r-project.org/
## Install RStudio
Please watch this quick video on how to install Rstudio, and then use the link below.
![](https://vimeo.com/203516968)
https://www.rstudio.com/products/rstudio/download/
1. Go to the Posit RStudio download page: https://posit.co/download/rstudio-desktop/
2. Skip step 1 on this page since we already installed R
3. It should automatically detect your OS, click the Download RStuido button
4. If it did not detect your OS scroll down and pick yours from the list
**MacOS**
- Download the .dmg file
- Double-click to mount the disk image
- Drag RStudio to your Applications folder
- Launch RStudio from Applications
**Windows**
- Download and run the .exe installer
- Follow installation prompts (defaults are typically fine)
- You may need administrator privileges
- RStudio will appear in your Start menu once installed
## Install Required Packages
Many of the tools we will want to use do not come prepackaged with R, but rather need to be installed as ‘packages’. There are a few key packages we will be using. Watch the following video on how to install packages in Rstudio:
![](https://vimeo.com/203516241)
You can also refer to [this site](https://moderndive.netlify.app/1-getting-started.html#packages) for more info on what packages are and how to install them (including a ‘GUI’ installation method if you prefer that).
Please install the [`tidyverse`](https://www.tidyverse.org/) R package, which we’ll be relying on extensively throughout the course. No need to worry about what exactly this is yet, but you can read more [here](https://www.tidyverse.org/) if you like.
Many of the tools we will want to use do not come prepackaged with R, but rather need to be installed as ‘packages’. There are a few key packages we will be using. Please install the [`tidyverse`](https://www.tidyverse.org/) R package, which we’ll be relying on extensively throughout the workshop.
1. Open RStudio
2. In the Console (the pane with the > symbol), type the following and hit enter:
```
install.packages("tidyverse")
```
3. Double check the installation was successful by running this in the console, it should not throw an error:
```
library(tidyverse)
```
No need to worry about what exactly this is yet, but you can read more [here](https://www.tidyverse.org/) if you like.
## Run verification test
Now it’s time to make sure you have everything installed properly!