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Applied data analysis for psychology using the open-source software R (Data Analysis using R)


Rein Präsenz
2 SWS, Unterrichtssprache Englisch

Voraussetzungen / Organisatorisches
No programming background necessary, basic knowledge on statistical analysis is advantages but not strictly necessary. For Ba / Ma Psychology only!

An introductory hands-on course that shows how to use R to analyze a typical psychophysical and social psychology research data. The course will walk you through all the analysis stages from importing a raw data to compiling a nice looking final report that automatically incorporates all the figures and statistics. If description below looks intimidating, do not despair! R wraps all these steps into simple easy-to-understand procedures.

Learning Goals: This introductory course into R, will teach you everything you need to know; how to import the data, preprocess it, summarize it, plot it, analyze it and create a visually appealing final report. At the end, you will able to preprocess, analyze, and plot data for you Bachelor/Master/PhD thesis.

Course Method: This seminar assumes no prior knowledge on your part. We will start with basic concepts of variables and functions and proceed to advanced topics. The course will introduce different ways to perform typical data analysis tasks. You can bring your own data, which makes it more fun (but you do not have to).

Grading: In the course, you will complete numerous practical exercises. Completing 80% of them is required to pass the course.

Empfohlene Literatur
Course syllables are available online: https://alexander-pastukhov.github.io/data-analysis-using-r-for-psychology/
"R for Data Science" by Garrett Grolemund and Hadley Wickham available freely at http://r4ds.had.co.nz/

Englischsprachige Informationen:
Applied data analysis for psychology using the open-source software R

Credits: 3

Zusätzliche Informationen
Schlagwörter: statistical analysis, data science, statistics

Institution: Lehrstuhl für Allgemeine Psychologie und Methodenlehre

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Mo  12:00 - 14:00  MG2/00.09
Kurs erwartete Teilnehmer: 20
Alexander Pastukhov
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