Most Windows users will use the default installer, but if you want to you can compile R under Windows. You need to download the latest version of RTools (http://cran.r-project.org/bin/windows/Rtools) and follow the instructions on the Rtools web page.
Learning RStudio for R Statistical Computing
Learning RStudio for R Statistical Computing
Overview of this book
Data is coming at us faster, dirtier, and at an ever increasing rate. The necessity to handle many, complex statistical analysis projects is hitting statisticians and analysts across the globe. This book will show you how to deal with it like never before, thus providing an edge and improving productivity.
"Learning RStudio for R Statistical Computing" will teach you how to quickly and efficiently create and manage statistical analysis projects, import data, develop R scripts, and generate reports and graphics. R developers will learn about package development, coding principles, and version control with RStudio.
This book will help you to learn and understand RStudio features to effectively perform statistical analysis and reporting, code editing, and R development.
The book starts with a quick introduction where you will learn to load data, perform simple analysis, plot a graph, and generate automatic reports. You will then be able to explore the available features for effective coding, graphical analysis, R project management, report generation, and even project management.
"Learning RStudio for R Statistical Computing" is stuffed with feature-rich and easy-to-understand examples, through step-by-step instructions helping you to quickly master the most popular IDE for R development.
Table of Contents (13 chapters)
Learning RStudio for R Statistical Computing
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started
Writing R Scripts and the R Console
Viewing and Plotting Data
Managing R Projects
Generating Reports
Using RStudio Effectively
Index
Customer Reviews