R Recipes - Larry Pace

R Recipes

A Problem-Solution Approach

(Autor)

Buch | Softcover
264 Seiten
2014 | 1st ed.
Apress (Verlag)
978-1-4842-0131-2 (ISBN)
40,65 inkl. MwSt
R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis.

R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice.
R Recipes is your handy problem-solution reference for learning and using the popular R programming language for statistics and other numerical analysis. Packed with hundreds of code and visual recipes, this book helps you to quickly learn the fundamentals and explore the frontiers of programming, analyzing and using R.

R Recipes provides textual and visual recipes for easy and productive templates for use and re-use in your day-to-day R programming and data analysis practice. Whether you're in finance, cloud computing, big or small data analytics, or other applied computational and data science - R Recipes should be a staple for your code reference library.

Dr. Larry Pace is a statistics author and educator, as well as a consultant. He lives in the upstate area of South Carolina in the town of Anderson. He is a professor of statistics, mathematics, psychology, management, and leadership. He has programmed in a variety of languages and scripting languages including R, Visual Basic, JavaScript, C##, PHP, APL, and in a long-ago world, Fortran IV. He writes books and tutorials on statistics, computers, and technology. He has also published many academic papers, and made dozens of presentations and lectures. He has consulted with Compaq Computers, AT&T, Xerox Corporation, the U.S. Navy, and International Paper. He has taught at Keiser University, Argosy University, Capella University, Ashford University, Anderson University (where he was the chair of the behavioral sciences department), Clemson University, Louisiana Tech University, LSU in Shreveport, the University of Tennessee, Cornell University, Rochester Institute of Technology, Rensselaer Polytechnic Institute, and the University of Georgia.

1. Migrating to R 2. Input and Output 3. Data Structures 4. Merging and Reshaping Datasets 5. Working with Dates and Strings 6. Working with Tabular Data 7. Working with Numerical Data 8. Graphics and Data Visualization 9. Probability Distributions 10. Tests of Differences 11. Tests of Relationships 12. Modern Robust Statistics 13. Writing Functions 14. Working with Financial Data 15. Dealing with Big Data 16. Introduction to Text and Data Mining

Zusatzinfo 60 Illustrations, black and white; XVI, 264 p. 60 illus.
Verlagsort Berkley
Sprache englisch
Maße 178 x 254 mm
Themenwelt Mathematik / Informatik Informatik Betriebssysteme / Server
Mathematik / Informatik Informatik Datenbanken
Mathematik / Informatik Informatik Netzwerke
Mathematik / Informatik Informatik Programmiersprachen / -werkzeuge
Mathematik / Informatik Informatik Software Entwicklung
Mathematik / Informatik Informatik Theorie / Studium
Wirtschaft Volkswirtschaftslehre Ökonometrie
Schlagworte R (Programmiersprache)
ISBN-10 1-4842-0131-0 / 1484201310
ISBN-13 978-1-4842-0131-2 / 9781484201312
Zustand Neuware
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