r-intro
This is an introductory R course that covers all stages in a research cycle.
Science Score: 26.0%
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Repository
This is an introductory R course that covers all stages in a research cycle.
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Metadata Files
README.md
"Data Literacy: Introduction to R"
Veronika Batzdorfer veronika.batzdorfer@kit.edu
Course description
The open source software package R is free of charge and offers standard data analysis procedures as well as a comprehensive repertoire of highly specialized processes and procedures, even for complex applications. After providing an introduction to the basic concepts and functionalities of R, we will go through a prototypical data analysis workflow in the course: import, wrangling, exploration, (basic) analysis, reporting.
Prerequisites
- prior experience with quantitative data analysis, basic statistics, and regression
- experience with using other statistical packages (e.g., SPSS or Python) is helpful, but not a requirement
Learning objectives
By the end of the course participants should be:
- Comfortable with using
Rand RStudio - Able to import, wrangle, and explore their data with
R - Able to conduct basic visualizations and analyses of their data with
R - Able to generate reproducible research reports using
R Markdown
Course Schedule
Day 1: Wednesday
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Wednesday | 12:00 - 13:00 | Onboarding & Getting Started with R | | Wednesday | 13:00 - 13:15 | Break | | Wednesday | 13:15 - 14:30 | Data Types & Loading | | Wednesday | 14:30 - 14:45 | Break | | Wednesday | 14:45 - 16:00 | Data Workflows & Wrangling | | Wednesday | 16:00 - 16:45 | Open Trouble Shooting Session |
Day 2: Thursday
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Thursday | 12:00 - 13:00 | Data Wrangling | | Thursday | 13:00 - 13:15 | Break | | Thursday | 13:15 - 14:30 | Exploratory Data Analysis | | Thursday | 14:30 - 14:45 | Break | | Thursday | 14:45 - 16:00 | Relational Data | | Thursday | 16:00 - 16:45 | Open Trouble Shooting Session |
Day 3: Friday
| Day | Time | Topic | |-------------|-----------------|--------------------------------------| | Friday | 12:00 - 13:00 | Visualization & Confirmatory Analysis | | Friday | 13:00 - 13:15 | Break | | Friday | 13:15 - 14:30 | Reporting with R Markdown | | Friday | 14:30 - 14:45 | Break | | Friday | 14:45 - 16:00 | Wrap-up (Evaluation) & Group Session | | Friday | 16:00 - 16:45 | Open Trouble Shooting Session |
Owner
- Name: Veronika Batzdorfer
- Login: nika-akin
- Kind: user
- Location: Cologne
- Company: GESIS - Leibniz Institute for the Social Sciences
- Repositories: 1
- Profile: https://github.com/nika-akin
GitHub Events
Total
- Member event: 6
- Public event: 1
- Push event: 29
- Fork event: 2
Last Year
- Member event: 6
- Public event: 1
- Push event: 29
- Fork event: 2