05004nam 2200661Ia 450 991078606850332120231002195638.01-68015-356-01-283-93785-91-78216-061-2(CKB)2670000000316895(EBL)1108342(OCoLC)823719008(SSID)ssj0000907706(PQKBManifestationID)12431359(PQKBTitleCode)TC0000907706(PQKBWorkID)10897932(PQKB)11409977(Au-PeEL)EBL1108342(CaPaEBR)ebr10642577(CaONFJC)MIL425035(MiAaPQ)EBC1108342(PPN)182137872(EXLCZ)99267000000031689520130118d2012 uy 0engur|n|---|||||txtrdacontentcrdamediacrrdacarrierLearning RStudio for R statistical computing[electronic resource] learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE /Mark P. J. van der Loo, Edwin de JongeBirmingham, UK :Packt Pub.,2012.1 online resource (126 pages)Community experience distilledIncludes index.1-78216-060-4 Cover; Copyright; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Table of Contents; Preface; Chapter 1: Getting Started; RStudio at a glance; Installing RStudio; Installing R; Installing R on Windows and Mac OS X; Installing R on Linux; Building R from source; Building R using Windows; Installing RStudio; Installing RStudio Server; Installing R packages; Overview: A first R session; Keyboard shortcuts; Getting help; What if I uninstall RStudio?; Further reading; Summary; Chapter 2: Writing R Scripts and the R Console; Moving around RStudio; Features of the R consoleExecuting commandsCommand history; Command completion; Completion of functions and arguments; Object completion; Completion of filenames; Keyboard shortcuts for the console; Features of the source editor; Editing R scripts; Syntax highlighting; Indenting code; Commenting code; Find and replace; Folding, sectioning, and navigation; Code folding; Code navigation; Code sections; Code execution; Summary; Chapter 3: Viewing and Plotting Data; Viewing data and the object browser; Plotting; Zoom; Export; Navigation; Interactive plotting with the manipulate package; The manipulate functionUsing more options of manipulateAdvanced topic: retrieving plot parameters from manipulate; Summary; Chapter 4: Managing R Projects; R projects; Creating an R project; Directory structure and file manipulations; Version control; Introduction to version control; Installing GIT or Subversion; Version control for single-person projects; GIT; Subversion; Working with a team; Further reading; Summary; Chapter 5: Generating Reports; Prerequisites for report generation; Notebook; Notebook options; Publishing a notebook; R Markdown and Rhtml; Workflow for R Markdown; An extended exampleAn introduction to Markdown syntaxRhtml; Code chunks; Chunk syntax and options; RMarkdown: .Rmd files; Rhtml: .Rhtml files; LaTeX: .Rnw files; RStudio's chunk support and keyboard shortcuts; LaTeX; Further reading; Summary; Chapter 6: Using RStudio Effectively; Additional features for function writing; Function extraction; Function navigation; Introduction to package writing; Prerequisites; Basic structure and workflow; Creating the package directory structure; Documenting functions with Roxygen2; Building your package with devtools; More about the devtools package; Publishing your packageSummaryIndexA practical tutorial covering how to leverage RStudio functionality to effectively perform R Development, analysis, and reporting with RStudio. The book is aimed at R developers and analysts who wish to do R statistical development while taking advantage of RStudio functionality to ease their development efforts. Familiarity with R is assumed. Those who want to get started with R development using RStudio will also find the book useful. Even if you already use R but want to create reproducible statistical analysis projects or extend R with self-written packages, this book shows how to quicklyStatisticsComputer programsInformation visualizationR (Computer program language)StatisticsComputer programs.Information visualization.R (Computer program language).005.4Loo Mark van der1976-1346045Jonge Edwin de1972-1506768MiAaPQMiAaPQMiAaPQBOOK9910786068503321Learning RStudio for R statistical computing3737134UNINA