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Introduction to statistical data analysis with R

Introduction to statistical data analysis with R
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ISBN: 978-87-403-1123-5
1 edition
Pages : 228
  • Price: 129.00 kr
  • Price: €13.99
  • Price: £13.99
  • Price: ₹250
  • Price: $13.99
  • Price: 129.00 kr
  • Price: 129.00 kr

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About the book

  1. Reviews
  2. Description
  3. Content
  4. About the Author

Reviews

Gilton Ndikum M. ★★★★★

This book is safe as an airbag while I ride through the jungle of R. Its a great book.

Description

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.

Content

  1. Statistical Software R
    1. R and its development history
    2. Structure of R
    3. Installation of R
    4. Working with R
    5. Exercises
  2. Descriptive Statistics
    1. Basics
    2. Excursus: Data Import and Export with R
    3. Import of ICU-Dataset
    4. Categorical Variables
    5. Metric Variables
    6. Exercises
  3. Colors and Diagrams
    1. Colors
    2. Excursus: Export of Diagrams
    3. Diagrams
    4. Exercises
  4. Probability Distributions
    1. Discrete Distributions
    2. Continuous Distributions
    3. Exercises
  5. Estimation
    1. Introduction
    2. Point Estimation
    3. Condence Intervals
    4. Exercises
  6. Statistical Tests
    1. Introduction
    2. Examples
    3. Exercises

About the Author

Matthias Kohl currently is Professor of Mathematics in Biology and Medicine and leads the master program “Medical Diagnostic Technologies (M.Sc.)” at Furtwangen University. He has more than ten years of research experience in the fields of robust statistics, computational statistics, biostatistics, and statistical bioinformatics. In recent years, he has been involved in many clinical and experimental studies as well as R&D projects. He is author of more than 50 peer-reviewed articles, 19 contributed packages to the statistical software R, three contributed packages to the Bioconductor software, and seven patents / patent applications.

http://www.stamats.de/aboutme.htm

http://www.hs-furtwangen.de/kontakte/322-matthiaskohl.html

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