Content
R has become a leading statistical programming language in data science and statistics. The R software is free, highly extensible, and allows to easily produce publication-quality plots. The aim of this course is to equip participants with the basic skills to effectively use the software R, embedded in the user interface RStudio. These skills will cover data import, processing and data exploration, graphical representations with ggplot2, basic concepts of statistical inference and linear regression. All topics will be demonstrated in working examples and practiced with hands on examples.
In the first two days we are going to teach the basic functionality of R, RStudio, and ggplot2. Day three and four are dedicated to the application of statistical tests, which will be extended to linear mixed-effects models.
Specific Topics
Part I (March 11 and 12)
- Introduction to R and RStudio
- Data types (vectors, data frames, matrices, lists, factors)
- Explorative data analysis
- Creating functions and data manipulation
- Creating and customizing plots with ggplot2
Part II (March 18 and 19)
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