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484607-HS2025-0-Methods seminar: Reproducible data processing and visualisation in R [Intermediate]





Root number 484607
Semester HS2025
Type of course Seminar
Allocation to subject Psychology
Type of exam Seminar paper
Title Methods seminar: Reproducible data processing and visualisation in R [Intermediate]
Description This course teaches reproducible data processing and visualisation in R/tidyverse at an intermediate level.
This seminar covers:
- Data processing and cleaning (aka ‘wrangling’): Using tidyverse R packages such as {dplyr}, {tidyr} and {forcats} to convert messy raw data into analysable datasets in a reproducible way
- Visualisation: Using {ggplot2} to create high quality visualisations of results.
- Literate programming: Using RMarkdown and Quarto to create files that mix text, code, and output such as tables and plots.
- Data and code management: how to structure data and code following principles such as Tidy Data and standards such Psych-DS.
- Version control: using GitHub to track manage code development.
- Results extraction and reporting: using easystats R packages such as {report} and {parameters} to extract, report and interpret the results of statistical analyses.

Please note that for beginner R skills you should instead take Dr. Sandra Grinschgl’s ‘R U Ready?” seminar. Please do not enrol in both seminars; students who do so will be asked to unenroll from one. If you are unsure which level you should take, please speak to either Dr. Hussey or Dr. Grinschgl.

Note: This class can be taken as a methods seminar or as a regular seminar for the master major/minor "Psychology of Digitalisation"
ILIAS-Link (Learning resource for course) Registrations are transmitted from CTS to ILIAS (no admission in ILIAS possible). ILIAS
Link to another web site
Lecturers PD Dr. Ian Hussey, Institute of Psychology - Psychology of Digitalization ✉
ECTS 5
Recognition as optional course possible No
Grading 1 to 6
 
Dates Monday 16:15-18:00 Weekly
 
Rooms Seminarraum B 202, Institutsgebäude vonRoll
 
Students please consult the detailed view for complete information on dates, rooms and planned podcasts.