Beginning R: An Introduction to Statistical Programming
Autor Larry Paceen Limba Engleză Paperback – 17 oct 2012
- Covers the freely-available R language for statistics
- Shows the use of R in specific uses case such as simulations, discrete probability solutions, one-way ANOVA analysis, and more
- Takes a hands-on and example-based approach incorporating best practices with clear explanations of the statistics being done
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Specificații
ISBN-13: 9781430245544
ISBN-10: 1430245549
Pagini: 336
Ilustrații: XXIV, 336 p.
Dimensiuni: 178 x 254 x 18 mm
Greutate: 0.58 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
ISBN-10: 1430245549
Pagini: 336
Ilustrații: XXIV, 336 p.
Dimensiuni: 178 x 254 x 18 mm
Greutate: 0.58 kg
Ediția:1st ed.
Editura: Apress
Colecția Apress
Locul publicării:Berkeley, CA, United States
Public țintă
Popular/generalNotă biografică
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.
Caracteristici
An Introduction to Statistical Programming shows how to get R, use R, and write your own custom statistical functions with a powerful, capable, and freely-available programming language and statistical computing environment.