Overview
- Written by R and statistical programming experts
- A unique tutorial on beginning to program with the new R 4 programming language
- Covers installing and using R
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Table of contents (13 chapters)
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Front Matter
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Back Matter
Keywords
About this book
Learn how to use R 4, write and save R scripts, read in and write out data files, use built-in functions, and understand common statistical methods. This in-depth tutorial includes key R 4 features including a new color palette for charts, an enhanced reference counting system (useful for big data), and new data import settings for text (as well as the statistical methods to model text-based, categorical data).
Each chapter starts with a list of learning outcomes and concludes with a summary of any R functions introduced in that chapter, along with exercises to test your new knowledge. The text opens with a hands-on installation of R and CRAN packages for both Windows and macOS. The bulk of the book is an introduction to statistical methods (non-proof-based, applied statistics) that relies heavily on R (and R visualizations) to understand, motivate, and conduct statistical tests and modeling.
Beginning R 4 shows the use of R in specific cases such as ANOVA analysis, multiple and moderated regression, data visualization, hypothesis testing, and more. It takes a hands-on, example-based approach incorporating best practices with clear explanations of the statistics being done.
You will:
- Acquire and install R and RStudio
- Import and export data from multiple file formats
- Analyze data and generate graphics (including confidence intervals)
- Interactively conduct hypothesis testing
- Code multiple and moderated regression solutions
Who This Book Is For
Programmers and data analysts who are new to R. Some prior experience in programming is recommended.
Authors and Affiliations
About the authors
Joshua F. Wiley is a lecturer in the Monash Institute for Cognitive and Clinical Neurosciences and School of Psychological Sciences at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy. He earned his PhD from the University of California, Los Angeles, and his research focuses on using advanced quantitative methods to understand the complex interplays of psychological, social, and physiological processes in relation to psychological and physical health. In statistics and data science, Joshua focuses on biostatistics and is interested in reproducible research and graphical displays of data and statistical models. Through consulting at Elkhart Group Limited and former work at the UCLA Statistical Consulting Group, he has supported a wide array of clients ranging from graduate students, to experienced researchers, and biotechnology companies. He also develops or co-develops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software.
Bibliographic Information
Book Title: Beginning R 4
Book Subtitle: From Beginner to Pro
Authors: Matt Wiley, Joshua F. Wiley
DOI: https://doi.org/10.1007/978-1-4842-6053-1
Publisher: Apress Berkeley, CA
eBook Packages: Professional and Applied Computing, Apress Access Books, Professional and Applied Computing (R0)
Copyright Information: Matt Wiley, Joshua F. Wiley 2020
Softcover ISBN: 978-1-4842-6052-4Published: 18 October 2020
eBook ISBN: 978-1-4842-6053-1Published: 17 October 2020
Edition Number: 1
Number of Pages: XX, 467
Number of Illustrations: 44 b/w illustrations, 66 illustrations in colour
Topics: Programming Languages, Compilers, Interpreters, Programming Techniques, Probability and Statistics in Computer Science