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Lecturer(s)
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Fačevicová Kamila, Mgr. Ph.D.
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Talská Renáta, Mgr.
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Hron Karel, prof. RNDr. Ph.D.
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Course content
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1. Software R - An import from databases 2. Software R - Selection 3. Software R - Combining queries 4. Software R - Data manipulation 5. Software R - Regular expressions 6. Software R - Joining of tables and manipulations with columns 7. Software R - Data tables transformations 8. Software R - Summarization I 9. Software R - Summarization II 10. Software R - Graphics I 11. Software R - Graphics II 12. Software R - Graphics III
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Learning activities and teaching methods
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Dialogic Lecture (Discussion, Dialog, Brainstorming), Demonstration
- Attendace
- 26 hours per semester
- Homework for Teaching
- 30 hours per semester
- Semestral Work
- 30 hours per semester
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Learning outcomes
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Working with software R - data import and transformations, summarization and data presentation.
Knowledge - Knowledge of data import with usage of SQL language, data manipulation and presentation in software R.
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Prerequisites
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Basic knowledge of R language
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Assessment methods and criteria
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Student performance
Each student has to create a document with examples from seminars and homework.
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Recommended literature
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J. Verzani. (2005). Using R for Introductory Statistics.
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M. Šimůnek. (1999). SQL - kompletní kapesní průvodce. Praha.
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P. Murrell. (2006). R Graphics.
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R. M. Heiberger, B. Holland. (2004). Statistical Analysis and Data Display: An Intermediate Course with Examples in S-Plus, R, and SAS. Springer Texts in Statistics, Springer.
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