Paracha Usman Zafar. Colorful Statistics with Basic Steps in R (Programming Language)

2nd Edition. — Wiley, 2019. — 544 p. — ISBN: 978-1-119-41653-1. This thoroughly updated second edition combines the latest software applications with the benefits of modern resampling techniques Resampling helps students understand the meaning of sampling distributions, sampling variability, P-values, hypothesis tests, and confidence intervals. The second edition of...

STHDA, 2017. — 145 p. Data visualization is one of the most important part of data science. Many books and courses present a catalogue of graphics but they don't teach you which charts to use according to the type of the data. In this book, we start by presenting the key graphic systems and packages available in R, including R base graphs, lattice and ggplot2 plotting systems....

Apress, 2017. — 352 с. — ISBN: 978-1-4842-2670-4. Discover best practices for data analysis and software development in R and start on the path to becoming a fully-fledged data scientist. This book teaches you techniques for both data manipulation and visualization and shows you the best way for developing new software packages for R. Beginning Data Science in R details how...

Chapman and Hall/CRC, 2018. — 600 c. — ISBN: 1138480606, 9781138480605, 9780429847035. Exploratory Data Analysis Using R provides a classroom-tested introduction to exploratory data analysis (EDA) and introduces the range of "interesting" – good, bad, and ugly – features that can be found in data, and why it is important to find them. It also introduces the mechanics of using R...

GoalKicker.com, 2018. — 474 p. The R Notes for Professionals book is compiled from Stack Overflow Documentation, the content is written by the beautiful people at Stack Overflow. Text content is released under Creative Commons BY-SA. See credits at the end of this book whom contributed to the various chapters. Images may be copyright of their respective owners unless otherwise...

CRC Press, 2020. — 365 p. — ISBN: 9780367439149, EISBN 9781003006695. Just Enough R! An Interactive Approach to Machine Learning and Analytics presents just enough of the R language, machine learning algorithms, statistical methodology, and analytics for the reader to learn how to find interesting structure in data. The approach might be called "seeing then doing" as it first...