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Course objectives:
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The course introduces students to the statistical program R. Students completing the course are able to import data of various formats into the R environment, perform basic and advanced statistical procedures and are able to program scripts in the R language for processing large and complicated datasets.
The R programming language is a standard in statistics and contemporary psychometry. The course is strongly recommended for students who want to enroll in a doctoral program or have research ambitions outside the academic world. R i R Studio are free to download.
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Requirements on student
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Students receive credit for writing a script in the R language, which processes data of a known format into a predetermined form (eg automatically generates graphs or tables of statistical procedure results). Credit assignment students compiled independently at home.
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Content
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Basic operators
Types of variables
Functions
Importing data from different sources
Loops
Packages
Graphical outputs
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Activities
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Fields of study
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Guarantors and lecturers
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Literature
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Time requirements
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All forms of study
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Activities
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Time requirements for activity [h]
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Homework for Teaching
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50
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Total
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50
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Combined form of study
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Activities
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Time requirements for activity [h]
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Attendace
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5
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Homework for Teaching
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20
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Total
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25
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Full-time form of study
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Activities
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Time requirements for activity [h]
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Attendace
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25
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Total
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25
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| Prerequisites - other information about course preconditions |
| Knowledge of descriptive and inferential statistics. Statistical linear models. |
| Competences acquired |
| Students will learn to write scripts in the R language for obtaining data from various sources, their cleaning and preparation, various statistical calculations up to the creation of graphical, tabular or other outputs. |
| Teaching methods |
- Demonstration
- Projection (static, dynamic)
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| Assessment methods |
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