Module 1: R + Stats Intro

Topic: R programming fundamentals, vectors, data frames, basic statistics, and ggplot2.

Learning Objectives

Navigate the R/RStudio environment
Create and manipulate vectors and data frames
Compute basic descriptive statistics
Make plots with ggplot2

Materials

Module 1 Notes — full reading with code and output
Module 1 Slides — RevealJS (arrow keys, F fullscreen)
Interactive Explorers — regression, distribution, t-test, and correlation apps (no R needed)
In-Class Activities — 6 hands-on exercises
Stats Slides (PDF)

R Code

Data

winedata.csv

Key Packages

library(ggplot2)
library(GGally)

Assignment

Problem Set: R Stats Intro — due the Wednesday of Module 2. Submit on Canvas.

---
title: "Module 1: R + Stats Intro"
---

::: {.week-header}
**Topic:** R programming fundamentals, vectors, data frames, basic statistics, and ggplot2.
:::

## Learning Objectives

- Navigate the R/RStudio environment
- Create and manipulate vectors and data frames
- Compute basic descriptive statistics
- Make plots with `ggplot2`

## Materials

::: {.file-list}
- [Module 1 Notes](../Module%201/Mod1_notes.html) — full reading with code and output
- [Module 1 Slides](../Module%201/Mod1_slides.html) — RevealJS (arrow keys, `F` fullscreen)
- [Interactive Explorers](../Module%201/Mod1_interactive.html) — regression, distribution, t-test, and correlation apps (no R needed)
- [In-Class Activities](../Module%201/Mod1_activity.html) — 6 hands-on exercises
- [Stats Slides (PDF)](../Module%201/Mod1_Basic_Stats_Slides.pdf)
:::

## R Code

::: {.file-list}
- [Mod1_R_intro.R](../Module%201/Mod1_R_intro.R)
- [Mod1_Basic_Stats.R](../Module%201/Mod1_Basic_Stats.R)
:::

## Data

::: {.file-list}
- [winedata.csv](../data/winedata.csv)
:::

## Key Packages

```r
library(ggplot2)
library(GGally)
```

## Assignment

**[Problem Set: R Stats Intro](../Module%201/ps-r-stats-intro.html)** — due the Wednesday of Module 2. Submit on Canvas.