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Beginning R 4

From Beginner to Pro

Authors: Wiley, Matt, Wiley, Joshua F.

  • 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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eBook  
  • ISBN 978-1-4842-6053-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover ca. $39.99
price for USA in USD
  • Due: November 20, 2020
  • ISBN 978-1-4842-6052-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
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. 

About the authors

Matt Wiley is a tenured, associate professor of mathematics with awards in both mathematics education and honor student engagement. He earned degrees in pure mathematics, computer science, and business administration through the University of California and Texas A&M systems. He serves as director for Victoria College’s quality enhancement plan and managing partner at Elkhart Group Limited, a statistical consultancy. With programming experience in R, C++, Ruby, Fortran, and JavaScript, he has always found ways to meld his passion for writing with his joy of logical problem solving and data science. From the boardroom to the classroom, Matt enjoys finding dynamic ways to partner with interdisciplinary and diverse teams to make complex ideas and projects understandable and solvable.
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.

Buy this book

eBook  
  • ISBN 978-1-4842-6053-1
  • Digitally watermarked, DRM-free
  • Included format:
  • ebooks can be used on all reading devices
Softcover ca. $39.99
price for USA in USD
  • Due: November 20, 2020
  • ISBN 978-1-4842-6052-4
  • Free shipping for individuals worldwide
  • Immediate ebook access, if available*, with your print order
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Bibliographic Information

Bibliographic Information
Book Title
Beginning R 4
Book Subtitle
From Beginner to Pro
Authors
Copyright
2020
Publisher
Apress
Copyright Holder
Matt Wiley, Joshua F. Wiley
eBook ISBN
978-1-4842-6053-1
DOI
10.1007/978-1-4842-6053-1
Softcover ISBN
978-1-4842-6052-4
Edition Number
1
Topics

*immediately available upon purchase as print book shipments may be delayed due to the COVID-19 crisis. ebook access is temporary and does not include ownership of the ebook. Only valid for books with an ebook version. Springer Reference Works and instructor copies are not included.