24th-25th-26th September 2024 || each 9 a.m. - 1 p.m. || online
R is an open source programming language for statistical computing and graphics. It provides a large number of generic functions for statistical analysis, but also many specialised packages supporting advanced methods, for example multivariate statistics, linguistic analysis or the work with spatial data and databases. The course gives a basic introduction into working with R. It is possible to bring data from your own research and use it for exercises.
Contents
- Statistics:
- Linear models
- (Multifactorial) Analysis of Variance (ANOVA)
- Mean comparisons with post-hoc tests
- Critical discussion on p-values and significance
- Critical discussion on t-tests or Tukey tests
- Experimental designs (block design, split-plot design)
- Preliminary look: Mixed models
- Data processing and preparation:
- Efficient and controlled analysis of multiple datasets
- Professional creation of various graphs; use of packages like ggplot2, desplot
- Reproducible analyses (including an introduction to R Markdown)
Notes
Number of participants: min. 7 - max. 15
Course language: English
Participation fee
free of charge
Realization
Dr. Paul Schmidt (lecturer)
organized by S32 Graduate Academy Rostock || gradauni-rostockde
For further information please visit the website of Graduate Academy Rostock.
Registration
via the online form