https://github.com/hbctraining/Intro-to-R

https://github.com/hbctraining/Intro-to-R

r rstudio workshop

Last synced: 9 days ago
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• Host: GitHub
• URL: https://github.com/hbctraining/Intro-to-R
• Owner: hbctraining
• Archived: true
• Created: 2016-12-21T16:43:36.000Z (almost 8 years ago)
• Default Branch: master
• Last Pushed: 2021-03-23T14:30:12.000Z (over 3 years ago)
• Last Synced: 2024-08-13T07:15:46.456Z (4 months ago)
• Topics: r, rstudio, workshop
• Language: SCSS
• Homepage: https://hbctraining.github.io/Intro-to-R/
• Size: 53.2 MB
• Stars: 91
• Watchers: 15
• Forks: 56
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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• jimsghstars - hbctraining/Intro-to-R - (SCSS)

README

        
**THIS REPO IS ARCHIVED, PLEASE GO TO [https://hbctraining.github.io/main](https://hbctraining.github.io/main) FOR CURRENT LESSONS.**

## Introduction to R

| Audience | Computational skills required | Duration |

:----------|:-------------|:----------|

| Biologists | None | 1.5 or 2-day workshop (~ 9 - 13 hours of trainer-led time)|

### Description

This repository has teaching materials for a hands-on **Introduction to R** workshop. The workshop will introduce participants to the basics of R and RStudio. R is a simple programming environment that enables the effective handling of data, while providing excellent graphical support. RStudio is a tool that provides a user-friendly environment for working with R. 

These materials are intended to provide both basic R programming knowledge and its application for increasing efficiency for data analysis. 

> These materials are developed for a trainer-led workshop, but also amenable to self-guided learning.

### Learning Objectives

1. **R syntax**: Understand the different 'parts of speech'.

2. **Data types structures in R**: Describe the various data types and data structures.

3. **Data inspection and wrangling**: Demonstrate the utilization of functions and indices to inspect and subset data from various data structures.

4. **Visualizing data**: Demonstrate the use of the ggplot2 package to create plots for easy data visualization.

### Lessons

**[Click here](schedules/1.5-day.md) for links to lessons and the suggested schedule**

### Installation Requirements

Download the most recent versions of R and RStudio for the appropriate OS using the links below:

 - [R](https://cran.r-project.org/) 

 - [RStudio](https://www.rstudio.com/products/rstudio/download/#download)

### Dataset

All the files used for the above lessons are linked within, but can also be [accessed here](https://github.com/hbctraining/Intro-to-R-with-DGE/tree/master/data).

---

*These materials have been developed by members of the teaching team at the [Harvard Chan Bioinformatics Core (HBC)](http://bioinformatics.sph.harvard.edu/). These are open access materials distributed under the terms of the [Creative Commons Attribution license](https://creativecommons.org/licenses/by/4.0/) (CC BY 4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.*

* *Some materials used in these lessons were derived from work that is Copyright © Data Carpentry (http://datacarpentry.org/). 

All Data Carpentry instructional material is made available under the [Creative Commons Attribution license](https://creativecommons.org/licenses/by/4.0/) (CC BY 4.0).*