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Instructors: Clara Mareike Pott
Event type:
Seminar
Displayed in timetable as:
87-064
Hours per week:
8
Credits:
2,5
Language of instruction:
English
Min. | Max. participants:
- | -
Comments/contents:
- Why to use R and how to get started?
- Basic syntax
- Data import and export
- Data manipulation and recoding
- Summarizing data
- Graphics in R
- Regression analyses
- Missing data
- Other areas of application of R
Learning objectives:
read data into R, recode data, perform statistical analyses, understand programming syntax and create informative graphs
Didactic concept:
introduction and hands-on training for analyzing data with the R programming language for statistical computing. How to use add-on packages in R and which packages are especial useful. Data input and output, data management, data manipulation, regression analyses and data visualization in R
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