Class 1: Introduction to R, Rstudio and Quarto

Slides

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Data

• ligue1.csv

Readings

• Chapters 2, 6 and 7 in Wickham, Çetinkaya-Rundel, and Grolemund (2023)

Assignment

Task 1

Get familiar with the syllabus of this course.

Task 2

Read the guide “Welcome to R, RStudio, and the tidyverse” on installation and install R, Rstudio, tidyverse (we’ll talk more about that soon) and tinytex.

Task 3

Read the guide on Rprojects, including the reference to this short chapter.

Task 4

1. Create an RStudio Project.

2. Create a folder named “data” in the project folder you just made.

3. Download this CSV file and place it in that folder:

• cars.csv

4. In RStudio, go to “File” > “New File…” > “Quarto Document…” and click “OK” in the dialog without changing anything.

5. Delete all the placeholder text in that new file and replace it by copy-pasting this:

---
title: "Problem set 1"
author: "Put your name here"
format: 
  html:
    toc: true
  pdf:
    toc: true
  docx:
    toc: true
---

```{r packages}
library(tidyverse)
```

# Learning R

[Give me some Feedback on how the this first class went.]

[WRITE SOMETHING HERE LIKE "It was not so hard and I managed to get it all done" or whatever.]

# Read the data

> Read the `cars.csv` data into R. Make sure to use the correct path ("data/cars.csv"). Name the data frame "cars" when reading it in. You don't need to understand what all the variables mean. 

[PUT CHUNK HERE]

# What's the class of the `model` and the `year` variable?

[PUT CHUNK HERE]

> Subset the cars data by selecting only rows that correspond to the manufacturer "honda" and that shows only the columns for models and the year. Name that subset "honda_data" and print it. 

[PUT CHUNK HERE] 

# My first plots

> You haven't learned about plots yet. But to give you a taste for what's coming, execute the code chunk below and let the magic happen. Make sure your data frame is named "cars" for this to work

A plot on the distance that cars can travel per gallon. Note that we will hide the code when rendering by setting `echo: false`.

```{r plot-data}
#| echo: false
ggplot(cars, aes(x = hwy)) +
geom_histogram() +
labs(
title = "A Histogram",
x = "Higway MPG*", 
caption = "*miles per gallon, is the distance, measured in miles, that a car can travel per gallon of fuel."
)
```

6. Save the Quarto file with some sort of name (without any spaces!)

7. Your project folder should look something like this:

Task 5

Work with R:

1. Remove all the place holder text indicated by [ ].

2. Follow the instructions for the three chunks of code.

3. Render your document, either as a .pdf or a .html file. Use the “Render” menu:

4. Upload the rendered document in the Homework section on Moodle, under “Assignment 1”.

5. 🎉 Party! 🎉

Tip

You’ll be doing this same process for all your future problem sets. Each problem set will involve a Quarto file. You can either create a new RStudio Project directory for all your work:

Or you can create individual projects for each assignment and project:

Solution

Tip

Here is a solution for the assignment

References

Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023. R for data science: import, tidy, transform, visualize, and model data. 2nd edition. Beijing Boston Farnham Sebastopol Tokyo: O’Reilly. https://r4ds.hadley.nz/.