Programming Graphical User Interfaces with R introduces each of the major R packages for GUI programming: RGtk2, qtbase, Tcl/Tk, and gWidgets. With examples woven through the text as well as stand-alone demonstrations of simple yet reasonably complete applications, the book features topics especially relevant to statisticians who aim to provide a practical interface to functionality implemented in R. The book offers: <ul>
<li>A how-to guide for developing GUIs within R</li> <li>The fundamentals for users with limited knowledge of programming within R and other languages</li> <li>GUI design for specific functions or as learning tools</li> </ul> The accompanying package, ProgGUIinR, includes the complete code for all examples as well as functions for browsing the examples from the respective chapters. Accessible to seasoned, novice, and occasional R users, this book shows that for many purposes, adding a graphical interface to one’s work is not terribly sophisticated or time consuming.

Programming Graphical User Interfaces in R (Chapman & Hall/CRC The R Series)

Computers & Technology

Lawrence, MIchael

Verzani, John

Computer Science

Chapman and Hall/CRC

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.
<ul>
<li>Use RStudio to provide enhanced support for interactive R sessions</li>
<li>Clean and format raw data quickly with several RStudio components</li>
<li>Edit R commands with RStudio’s code editor, and combine them into functions</li>
<li>Easily locate and use more than 3,000 add-on packages in R’s CRAN service</li>
<li>Develop and document your own R packages with the code editor and related components</li>
<li>Create one-click PDF reports in RStudio with a mix of text and R output</li>
</ul>

Getting Started with RStudio: An Integrated Development Environment for R

Programming Languages

O'Reilly Media

The second edition of a bestselling textbook, Using R for Introductory Statistics guides students through the basics of R, helping them overcome the sometimes steep learning curve. The author does this by breaking the material down into small, task-oriented steps. The second edition maintains the features that made the first edition so popular, while updating data, examples, and changes to R in line with the current version.
See What’s New in the Second Edition: <ul>
<li>Increased emphasis on more idiomatic R provides a grounding in the functionality of base R.</li> <li>Discussions of the use of RStudio helps new R users avoid as many pitfalls as possible.</li> <li>Use of knitr package makes code easier to read and therefore easier to reason about.</li> <li>Additional information on computer-intensive approaches motivates the traditional approach.</li> <li>Updated examples and data make the information current and topical.</li> </ul> The book has an accompanying package, UsingR, available from CRAN, R’s repository of user-contributed packages. The package contains the data sets mentioned in the text (data(package="UsingR")), answers to selected problems (answers()), a few demonstrations (demo()), the errata (errata()), and sample code from the text. The topics of this text line up closely with traditional teaching progression; however, the book also highlights computer-intensive approaches to motivate the more traditional approach. The authors emphasize realistic data and examples and rely on visualization techniques to gather insight. They introduce statistics and R seamlessly, giving students the tools they need to use R and the information they need to navigate the sometimes complex world of statistical computing.

Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)

Software

The cost of statistical computing software has precluded many universities from installing these valuable computational and analytical tools. R, a powerful open-source software package, was created in response to this issue. It has enjoyed explosive growth since its introduction, owing to its coherence, flexibility, and free availability. While it is a valuable tool for students who are first learning statistics, proper introductory materials are needed for its adoption. Using R for Introductory Statistics fills this gap in the literature, making the software accessible to the introductory student. The author presents a self-contained treatment of statistical topics and the intricacies of the R software. The pacing is such that students are able to master data manipulation and exploration before diving into more advanced statistical concepts. The book treats exploratory data analysis with more attention than is typical, includes a chapter on simulation, and provides a unified approach to linear models. This text lays the foundation for further study and development in statistics using R. Appendices cover installation, graphical user interfaces, and teaching with R, as well as information on writing functions and producing graphics. This is an ideal text for integrating the study of statistics with a powerful computational tool.

See the best price to sell, buy, or rent books by Verzani, John. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Books by Verzani, John

See the best price to sell, buy, or rent books by Verzani, John. BookScouter helps to compare book prices from 25+ online bookstores and 30+ buyback vendors with a single search.

Programming Graphical User Interfaces in R (Chapman & Hall/CRC The R Series)

Getting Started with RStudio: An Integrated Development Environment for R

Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)

Using R for Introductory Statistics (Chapman & Hall/CRC The R Series)