# 2025-07-22-NCL Programming with R

### This document:
# https://bit.ly/2025-07-22-NCL

### Links:
- [Carpentries](https://carpentries.org)
- [RSE Team](https://rse.ncldata.dev)
- [Code of Conduct](https://docs.carpentries.org/policies/coc/)
- [Workshop website](https://nclrse-training.github.io/2025-07-22-NCL/)

- [Link to lesson website](https://swcarpentry.github.io/r-novice-gapminder/)
- [Link to data](https://raw.githubusercontent.com/swcarpentry/r-novice-gapminder/main/episodes/data/gapminder_data.csv)
- [Pre-workshop survey](https://carpentries.typeform.com/to/wi32rS?slug=2025-07-22-NCL)
- [Post-workshop survey](https://carpentries.typeform.com/to/UgVdRQ?slug=2025-07-22-NCL)
- [Code Community](https://teams.microsoft.com/l/team/19%3aG79Rz7Mhk6rC0mhia04YCD-nj7WabLMxhnyb1YLp04A1%40thread.tacv2/conversations?groupId=7059214c-2200-4ad6-a739-9d350c74c7a9&tenantId=9c5012c9-b616-44c2-a917-66814fbe3e87)

### Download the gapminder data
from [this link to a csv file](https://swcarpentry.github.io/r-novice-gapminder/data/gapminder_data.csv).

* Download the file (right mouse click on the link above -> “Save link as” / “Save file as”, or click on the link and after the page loads, press Ctrl+S or choose File -> “Save page as”)
* Make sure it’s saved under the name gapminder_data.csv
* Save the file in the data/ folder within your project.
* We will load and inspect these data later using:

gapminder <- read.csv("https://raw.githubusercontent.com/swcarpentry/r-novice-gapminder/main/episodes/data/gapminder_data.csv")

#### alternative download method

download.file("https://raw.githubusercontent.com/swcarpentry/r-novice-gapminder/main/episodes/data/gapminder_data.csv", destfile = "data/gapminder_data.csv")
gapminder <- read.csv("data/gapminder_data.csv")

### Attendance:
## Please sign in using your <span style="color:red">university email</span> and your <span style="color:red">name</span>:

1. [e-mail], Tiago Sousa Garcia
2. [e-mail], Robin Nandi
3. [e-mail], Jannetta Steyn

### General R Setup instructions:

### Ways around network issues:
if network drives are causing issues with :H drive, you can save to OneDrive. You can do this by using the file browser to get to OneDrive.

### Installing Packages
This information is also in the lesson but because R likes to store its packages on your campus H: drive, you may need to update packages:

`update.packages()`

a pop-up dialog will appear for each package, click OK (many times!)

##### Useful packages you may want to install
- tidyverse, ggplot2 and dplyr

### Long lines?
Lines in R can be split by adding a return AFTER an operator. For example:

gfg_1=1 +
5 +
7 +
9