https://github.com/saroshfarhan/advance_r
https://github.com/saroshfarhan/advance_r
Last synced: 4 months ago
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- Host: GitHub
- URL: https://github.com/saroshfarhan/advance_r
- Owner: saroshfarhan
- Created: 2025-05-27T15:39:57.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-29T15:17:53.000Z (about 1 year ago)
- Last Synced: 2025-07-28T23:20:57.155Z (11 months ago)
- Size: 45.9 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Advance Data Programming with R
This repository contains homework assignments for the course **Advance Data Programming with R**.
## Repository Structure
- `Homework/` — Contains homework assignments.
- `homework1/` — Example: Analysis of the Iris dataset using R and Quarto.
- `howework_1.qmd` — Quarto file with code and analysis.
- `howework_1.pdf` — Rendered PDF of the homework.
- `homework1.Rproj` — RStudio project file.
## Homework Example
**Homework 1** explores the classic Iris dataset, performing statistical analysis and visualization using R. The analysis includes:
- Summary statistics by species
- Scatter plots of petal length vs. petal width
- Interpretation of results for classification
## Getting Started
1. Clone this repository:
```bash
git clone
```
2. Open the `.Rproj` file in RStudio for a project-based workflow.
3. Open `.qmd` files in RStudio or Quarto-compatible editors to view or run the code.
4. Render Quarto files to PDF or HTML using the Quarto extension in RStudio or the command line:
```bash
quarto render howework_1.qmd
```
## Requirements
- R (version 4.0 or higher recommended)
- RStudio (optional, for project workflow)
- Quarto (for rendering `.qmd` files)
- R packages: `dplyr`, `ggplot2`, `knitr`
## License
This repository is for educational purposes as part of the Advance Data Programming with R course offered by University College Dublin.