Statistik mit R Schnelleinstieg

All the fundamentals for using R in study and practice. The most common data analysis methods and data visualizations. With a practical reference guide for each method.

This book provides an easy introduction to statistical analysis using the R programming language. All the basics are clearly and understandably explained in 14 chapters through practical examples.

The author guides you step by step into data analysis with R: from the fundamentals of syntax and data types to using the RStudio graphical user interface, and on to creating charts and analytical methods for testing changes, differences, and relationships.

A practical overview for selecting the appropriate statistical tests for each task helps you quickly reference and easily apply the methods. This way, you are perfectly prepared for using R in both study and practice.

Contents include:

All essential fundamentals explained simply. Introduction to the RStudio user interface. Descriptive statistics of samples. Charts for distributions, changes, and relationships. Analytical methods for assessing changes between two or more time points. Differences between two or more groups. Non-directional and directional relationships. Decision tree for selecting the appropriate statistical tests.