GESIS Training Courses
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Wiss. Koordination

Dr.
André Ernst

Administrative Koordination

Claudia O'Donovan-Bellante
Tel: +49 621 1246-221

Introduction to R

About
Veranstaltungsort:
Mannheim / B6, 4-5
General Topics:
Data Preparation, Data Analysis
Course Level:
Beginner
Format:
Workshop
Software used:
R
Duration:
3 days
Language:
English
Fees:
Students: 300 €
Academics: 450 €
Commercial: 900 €
Keywords
Additional links
Dozent(en): Prof. Dr. Friedolin Merhout, Prof. Dr. Merlin Schaeffer

Referenteninformationen - Prof. Dr. Friedolin Merhout

Referenteninformationen - Prof. Dr. Merlin Schaeffer

Seminarinhalt

This course introduces participants to the statistical programming language R and its use in the integrated development environment RStudio. R is a versatile language offering both the full range of established statistical procedures and cutting-edge techniques for data collection, processing, and analysis. RStudio wraps the language in a well-structured and easier to use environment. R's breadth of applications relies on a large catalogue of (user contributed-)packages, with notable recent contributions going towards a more unified framework for these packages.
 
The course aims to familiarize participants with the broad potential of these tools in general and for their personal needs and applications. After completing the course, participants will understand how to implement all steps of data analysis in RStudio. This includes learning R techniques for:
 
  • Data import from multiple sources
  • Data manipulation and visualization
  • Basic statistical analyses and linear regression
  •  
    In addition to the technical programming skills, participants will also learn to apply a conceptual framework to data analysis, where all the steps of a data analysis are automated via a programmatic pipeline.
     
    Core elements participants will gain familiarity with are:
    RStudio: An integrated development environment for R supporting interactive data analysis, building of data analysis pipelines, and R software development
     
  • Tidyverse: A framework and collection of R packages centered on the concept of tidy data
  • Visualization: Generating and tailoring high-quality figures using the R package ggplot2


  • Lernziel

    After completing the course, participants will understand how to implement all steps of their data analysis projects in R using RStudio. This includes loading data into RStudio, processing and visualizing data, and conducting basic statistical analyses. Participants will be able to wrap all of this into R scripts that automate the analysis and allow it to be shared and reproduced.


    Voraussetzungen

    Participants should be familiar with basic approaches in quantitative empirical social. Ideally, participants have some experience with using scripting for data analysis, e.g. from using Stata or SAS. Fluency in English, for instructional purposes, is required.


    Zeitplan

    Literaturempfehlungen

    Weitere Informationen