980044 TS Introduction to "R" (2016W)
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VDS-MOL
Please note: Participation is subject to the successfully passed public presentation of your dissertation project.
Details
max. 15 participants
Language: English
Examination dates
Lecturers
Classes
Termin: 24. und 25. November 2016, 9:00-17:00
Ort: MFPL, IT room @VBC5
Anmeldung: über die MFPL intranet Seite
Anmeldeschluss: 14. November 2016
Information
Aims, contents and method of the course
Assessment and permitted materials
Minimum requirements and assessment criteria
Examination topics
Reading list
Association in the course directory
Last modified: We 21.04.2021 13:41
• Why R? R compared to other programs
• Installation, first steps, global settings
• Typing commands instead of clicking buttons: scripting basics, common mistakes and how to avoid them
• Data types in R (vectors, data.frame objects, lists)
• How do I get my data from other formats into R? (and vice versa)
• Functions (math, statistics, pdf and cdf for common distributions used for testing hypotheses), looping and control flow.
• Advanced data management (merge, recode, random sampling, missing values)
• Graphics and how to manipulate them (colors, axes, annotations), creating "publication- ready" graphics
• Getting help with your code (the help()-function, online resources, useful webpages dealing with R- programming topics)