Overview
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, build and import data files, and write your own custom statistical functions.
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Table of contents (19 chapters)
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Front Matter
About this book
Beginning R, Second Edition is a hands-on book showing how to use the R language, write and save R scripts, read in data files, and write custom statistical functions as well as use built in functions. This book shows the use of R in specific cases such as one-way ANOVA analysis, linear and logistic regression, data visualization, parallel processing, bootstrapping, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done. It has been completely re-written since the first edition to make use of the latest packages and features in R version 3.
R is a powerful open-source language and programming environment for statistics and has become the de facto standard for doing, teaching, and learning computational statistics. 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, with a constantly evolving ecosystem of packages providing new functionality for data analysis. R has also become popular in commercial use at companies such as Microsoft, Google, and Oracle. 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 data analysis and research.
What You Will Learn:
- How to acquire and install R
- Hot to import and export data and scripts
- How to analyze data and generate graphics
- How to program in R to write custom functions
- Hot to use R for interactive statistical explorations
- How to conduct bootstrapping and other advanced
techniques
About the authors
Bibliographic Information
Book Title: Beginning R
Book Subtitle: An Introduction to Statistical Programming
Authors: Joshua F. Wiley, Larry A. Pace
DOI: https://doi.org/10.1007/978-1-4842-0373-6
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Professional and Applied Computing (R0), Apress Access Books
Copyright Information: Larry Pace and Joshua Wiley 2015
Softcover ISBN: 978-1-4842-0374-3Published: 13 October 2015
eBook ISBN: 978-1-4842-0373-6Published: 23 October 2015
Edition Number: 2
Number of Pages: XXIII, 327
Number of Illustrations: 168 b/w illustrations
Topics: Programming Languages, Compilers, Interpreters, Mathematical Software