Kohl Matthias. Introduction to statistical data analysis with R

Bookboon, 2015. — 228 p. — ISBN: 978-87-403-1123-5.The book offers an introduction to statistical data analysis applying the free statistical software R, probably the most powerful statistical software today. The analyses are performed and discussed using real data. After a brief description of the statistical software R, important parameters and diagrams of descriptive statistics are introduced. Subsequently, recommendations for generating diagrams are provided, where special attention is given to the selection of appropriate colors. The second half of the book addresses the basics of inferential statistics. First, a number of probability distributions are introduced and their applicability is illustrated by examples. Next, the book describes how the parameters of these distributions, which are unknown in practice, may be estimated from given data. The final chapter introduces statistical tests and reviews the most important tests for practical applications.Statistical Software R
R and its development history
Structure of R
Installation of R
Working with R
Exercises
Descriptive Statistics
Basics
Excursus: Data Import and Export with R
Import of ICU-Dataset
Categorical Variables
Metric Variables
Exercises
Colors and Diagrams
Colors
Excursus: Export of Diagrams
Diagrams
Exercises
Probability Distributions
Discrete Distributions
Continuous Distributions
Exercises
EstimationPoint Estimation
Condence Intervals
Exercises
Statistical TestsExamples
Exercises