README.Rmd

---
title: "README"
output: github_document
---

Materials for data training at: 

"Scientific Meeting on Data Needs and Code of Practice for Establishing an Early Warning System (EWS) for Harmful Algal Blooms (HABs)"

28 October through 1 November 2024

## Pre-workshop Instructions

1. [Download and Install R](https://cloud.r-project.org/) (or updated your version to >4.0.0)

2. [Download and Install RStudio](https://posit.co/download/rstudio-desktop/)

3. [Clone](https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository) this repository onto your machine

4. Set your working directory to `~/hab-ews-namibia`

```
setwd("~/hab-ews-namibia")
```

5. Run the setup.R script to make sure you have all of the requirements installed

```
source("setup.R")
```


## Workshop Plan

Programming Introduction

Data Analysis and Visualization

Automated Reports


## Resources

### R & RStudio:

[base R cheatsheet](https://rstudio.github.io/cheatsheets/base-r.pdf)

[RStudio](https://rstudio.github.io/cheatsheets/html/rstudio-ide.html)


### R Packages:

[dplyr](https://rstudio.github.io/cheatsheets/html/data-transformation.html) Data manipulation

[ggplot2](https://rstudio.github.io/cheatsheets/html/data-visualization.html) Data visualization 

[readr + readxl](https://rstudio.github.io/cheatsheets/html/data-import.html)


### Other tools:

[R markdown](https://rstudio.github.io/cheatsheets/html/rmarkdown.html)

[R Markdown: The Definitive Guide](https://bookdown.org/yihui/rmarkdown/)

[git and Github](https://rstudio.github.io/cheatsheets/git-github.pdf)