| Course title | Analysis in a program R |
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| Course code | EKO/PGSAR |
| Organizational form of instruction | Lecture |
| Level of course | Doctoral |
| Year of study | not specified |
| Semester | Winter and summer |
| Number of ECTS credits | 15 |
| Language of instruction | Czech, English |
| Status of course | unspecified |
| Form of instruction | Face-to-face |
| Work placements | This is not an internship |
| Recommended optional programme components | None |
| Lecturer(s) |
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| Course content |
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Student learns how to classify biological variables (kvantitative, kvalitative, proportions, counts) and ways of statistical analysis in a program R. Course focuses on inputting data, ways of their modification and graphical output. The basic approaches of statistical analysis, such as correlation analysis, linear regression, analysis of variance and covariance, will be explained. Additionally, attention is paid to modern methods of analysis covering geralized linear models (GLM) and generalized linear mixed models (GLMM). At the end of course, methods of nonlinear regression and generalized additive models will be touched.
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| Learning activities and teaching methods |
| Demonstration |
| Learning outcomes |
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Student learns the basic methods of statistical analysis in a program R.
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| Prerequisites |
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unspecified
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| Assessment methods and criteria |
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Student performance
Exam: student analyses a particular dataset in a program R |
| Recommended literature |
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| Study plans that include the course |
| Faculty | Study plan (Version) | Category of Branch/Specialization | Recommended semester |
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