Overview
- 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.
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Table of contents (20 chapters)
About this book
R is both an object-oriented language and a functional language that is easy to learn, easy to use, and completely free. A large community of dedicated R users and programmers provides an excellent source of R code, functions, and data sets. R is also becoming adopted into commercial tools such as Oracle Database. Your investment in learning R is sure to pay off in the long term as R continues to grow into the go to language for statistical exploration and research.
- 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
About the author
Bibliographic Information
Book Title: Beginning R
Book Subtitle: An Introduction to Statistical Programming
Authors: Larry Pace
DOI: https://doi.org/10.1007/978-1-4302-4555-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Larry Pace 2012
Softcover ISBN: 978-1-4302-4554-4Published: 17 October 2012
eBook ISBN: 978-1-4302-4555-1Published: 28 November 2012
Edition Number: 1
Number of Pages: XXIV, 336
Topics: Programming Languages, Compilers, Interpreters, Mathematical Software