r-intro

This is an introductory R course that covers all stages in a research cycle.

https://github.com/nika-akin/r-intro

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Repository

This is an introductory R course that covers all stages in a research cycle.

Basic Info
  • Host: GitHub
  • Owner: nika-akin
  • Language: HTML
  • Default Branch: main
  • Homepage:
  • Size: 107 MB
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Created over 1 year ago · Last pushed over 1 year ago
Metadata Files
Readme Citation

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 R and 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

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