Read The Book of R Books PDF

Read The Book of R Books PDF

Authors : Tilman M. Davies
Publisher : No Starch Press
Published Date : 2016-07-16
ISBN-13 : 9781593277796
Page : 832 Pages
Language : en




Descriptions
Read The Book of R Books PDF

The Book of RThe Book of R is a comprehensive, beginner-friendly guide to R, the world’s most popular programming language for statistical analysis. Even if you have no programming experience and little more than a grounding in the basics of mathematics, you’ll find everything you need to begin using R effectively for statistical analysis.

You’ll start with the basics, like how to handle data and write simple programs, before moving on to more advanced topics, like producing statistical summaries of your data and performing statistical tests and modeling. You’ll even learn how to create impressive data visualizations with R’s basic graphics tools and contributed packages, like ggplot2 and ggvis, as well as interactive 3D visualizations using the rgl package.

Dozens of hands-on exercises (with downloadable solutions) take you from theory to practice, as you learn:
–The fundamentals of programming in R, including how to write data frames, create functions, and use variables, statements, and loops
–Statistical concepts like exploratory data analysis, probabilities, hypothesis tests, and regression modeling, and how to execute them in R
–How to access R’s thousands of functions, libraries, and data sets
–How to draw valid and useful conclusions from your data
–How to create publication-quality graphics of your results

Combining detailed explanations with real-world examples and exercises, this book will provide you with a solid understanding of both statistics and the depth of R’s functionality. Make The Book of R your doorway into the growing world of data analysis.
The R Book
Language: en
Pages: 950

The R Book

Authors: Michael J. Crawley
Categories: Mathematics
Type: BOOK - Published: 2007-06-13 - Publisher: John Wiley & Sons
The high-level language of R is recognized as one of the most powerful and flexible statistical software environments, and is rapidly becoming the standard setting for quantitative analysis, statistics and graphics. R provides free access to unrivalled coverage and cutting-edge applications, enabling the user to apply numerous statistical methods ranging
An Introduction to Statistical Learning
Language: en
Pages: 426

An Introduction to Statistical Learning

Authors: Gareth James, Daniela Witten, Trevor Hastie, Robert Tibshirani
Categories: Mathematics
Type: BOOK - Published: 2013-06-24 - Publisher: Springer Science & Business Media
An Introduction to Statistical Learning provides an accessible overview of the field of statistical learning, an essential toolset for making sense of the vast and complex data sets that have emerged in fields ranging from biology to finance to marketing to astrophysics in the past twenty years. This book presents
R For Dummies
Language: en
Pages: 432

R For Dummies

Authors: Andrie de Vries, Joris Meys
Categories: Computers
Type: BOOK - Published: 2015-06-18 - Publisher: John Wiley & Sons
Mastering R has never been easier Picking up R can be tough, even for seasoned statisticians and data analysts. R For Dummies, 2nd Edition provides a quick and painless way to master all the R you'll ever need. Requiring no prior programming experience and packed with tons of practical examples,
bookdown
Language: en
Pages: 138

bookdown

Authors: Yihui Xie
Categories: Mathematics
Type: BOOK - Published: 2016-12-12 - Publisher: CRC Press
bookdown: Authoring Books and Technical Documents with R Markdown presents a much easier way to write books and technical publications than traditional tools such as LaTeX and Word. The bookdown package inherits the simplicity of syntax and flexibility for data analysis from R Markdown, and extends R Markdown for technical
The Elements of Statistical Learning
Language: en
Pages: 536

The Elements of Statistical Learning

Authors: Trevor Hastie, Robert Tibshirani, Jerome Friedman
Categories: Mathematics
Type: BOOK - Published: 2013-11-11 - Publisher: Springer Science & Business Media
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the