O’Reilly Media2011ISBN: 144930903892 p. | Dive into the RStudio Integrated Development Environment (IDE) for using and programming R, the popular open-source software for statistical computing and graphics. This concise book provides new and experienced users with an overview of RStudio, as well as hands-on instructions for analyzing data, generating reports, and developing R software packages. The open-source RStudio IDE brings many powerful coding tools together into an intuitive, easy-to-learn interface. With this guide, you’ll learn how to use its main components — including the console, source code editor, and data viewer — through descriptions and case studies. Getting Started with RStudio serves as both a reference and introduction to this unique IDE. -Use RStudio to provide enhanced support for interactive R sessions -Clean and format raw data quickly with several RStudio components -Edit R commands with RStudio’s code editor, and combine them into functions -Easily locate and use more than 3,000 add-on packages in R’s CRAN service -Develop and document your own R packages with the code editor and related components -Create one-click PDF reports in RStudio with a mix of text and R output
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Springer, 2012. — 374 p. — (Series "Use R!"). — ISBN: 1461413648, 9781461413653. R by Example is an example-based introduction to the statistical computing environment that does not assume any previous familiarity with R or other software packages. R functions are presented in the context of interesting applications with real data. The purpose of this book is to illustrate a...
O’Reilly Media – 2013, 416 p. ISBN: 1449316956, 9781449316952 This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb through all the details of R’s graphing systems. Each recipe tackles a specific problem with a solution you can apply to your own project, and includes a discussion of how and why the recipe...
MIT Press, 2016. — 802 p. A comprehensive introduction to neural networks and deep learning by leading researchers of this field. Written for two main target audiences: university students (undergraduate or graduate) learning about machine learning, and software engineers. This is a PDF compilation of online book (www.deeplearningbook.org) Who Should Read This Book? Historical...
R is the world's most popular language for developing statistical software: Archaeologists use it to track the spread of ancient civilizations, drug companies use it to discover which medications are safe and effective, and actuaries use it to assess financial risks and keep economies running smoothly. The Art of R Programming takes you on a guided tour of software development...
Chapman and Hall/CRC, 2010. — 305 p. — ISBN: 1439810184, 9781439810187. The versatile capabilities and large set of add-on packages make R an excellent alternative to many existing and often expensive data mining tools. Exploring this area from the perspective of a practitioner, Data Mining with R: Learning with Case Studies uses practical examples to illustrate the power of R...
Packt Publishing – 2012, 126 p. ISBN: 1782160604 , 9781782160601 Learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE Overview A complete practical tutorial for RStudio, designed keeping in mind the needs of analysts and R developers alike. Step-by-step examples that apply the principles of reproducible research and good...