Freie Plätze:

Termin/e:
22.06.2023, 09:30 - 16:30 Uhr
23.06.2023, 09:00 - 15:30 Uhr
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An- und Abmeldefrist:
15. Juni 2023
23:55 Uhr

Abmeldefrist
08. Juni 2023
23:55 Uhr

Format: Präsenz
Zielgruppe:
Wissenschaftliches Personal
Haben Sie noch Fragen?:
Personnel Development
Trainer*in:
Dipl.-Ing. Robert Bajons, MSc (WU)
An- und Abmeldefrist abgelaufen. Bei Interesse wenden Sie sich bitte an personalentwicklung@wu.ac.at.
Beschreibung

R is a free software environment for statistical computing and graphics which is extensively used in scientific research and data analytics as a state-of-the-art tool for visualizing, summarizing and analyzing data.  In addition, due to its specialized user-contributed packages, and its easy-to-use interface provided by the integrated development environment (IDE) RStudio, it has grown in popularity in recent years among researchers and practitioners alike.

This workshop will provide a hands-on introduction to R for data analysis and aims at providing you with a set of tools and skills which will allow you to use R independently in your research process.

Target group

For all researchers at any stage of their career, who are interested in getting started with R for the purpose of conducting their own statistical analyses.  The course assumes some knowledge of basic statistical concepts (e.g., descriptive  statistics, hypothesis testing).

Goals

After the workshop, as participant you will be able to:

  • navigate RStudio, interact with R and its extension packages;
  • understand the different data structures in R;
  • import and explore datasets in R;
  • generate graphics for data visualization;
  • run statistical models and interpret their results using built-in functions in R.

Content

  • Introduction to R, RStudio
  • Data analysis in R: descriptives, visualization and inference.
  • Selected statistical models in R

Methods

The workshop will consist of a mixture of lectures and practical sessions, with a strong focus on hands-on examples and group work.

Bring your own laptop: participants have to bring their own laptop with R and RStudio installed. R is an open source software while RStudio is an integrated development environment for R. R and RStudio can be installed free of charge to a private laptop by downloading the necessary files available at https://rstudio.com/ and https://cran.r-project.org. For installation on the WU laptop with Windows operating system please use the Software Center provided by the IT SERVICES.

More information on installing R and RStudio can be found at e.g., https://rstudio-education.github.io/hopr/starting.html

Bring your own dataset: participants are very welcome to bring their own datasets for discussion and analysis.

In cooperation with

Competence Center for Empirical Research Methods

Zusätzliche Beschreibung
  • RStudio, interaction with R and its extension packages;
  • data structures in R;
  • import and explore datasets in R;
  • graphics for data visualization;
  • statistical models and result interpretation using built-in functions in R