LEADER 05004nam 2200661Ia 450 001 9910786068503321 005 20231002195638.0 010 $a1-68015-356-0 010 $a1-283-93785-9 010 $a1-78216-061-2 035 $a(CKB)2670000000316895 035 $a(EBL)1108342 035 $a(OCoLC)823719008 035 $a(SSID)ssj0000907706 035 $a(PQKBManifestationID)12431359 035 $a(PQKBTitleCode)TC0000907706 035 $a(PQKBWorkID)10897932 035 $a(PQKB)11409977 035 $a(Au-PeEL)EBL1108342 035 $a(CaPaEBR)ebr10642577 035 $a(CaONFJC)MIL425035 035 $a(MiAaPQ)EBC1108342 035 $a(PPN)182137872 035 $a(EXLCZ)992670000000316895 100 $a20130118d2012 uy 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aLearning RStudio for R statistical computing$b[electronic resource] $elearn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE /$fMark P. J. van der Loo, Edwin de Jonge 210 1$aBirmingham, UK :$cPackt Pub.,$d2012. 215 $a1 online resource (126 pages) 225 1 $aCommunity experience distilled 300 $aIncludes index. 311 $a1-78216-060-4 327 $aCover; 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 console 327 $aExecuting 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 function 327 $aUsing 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 example 327 $aAn 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 package 327 $aSummaryIndex 330 $aA 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 quickly 606 $aStatistics$xComputer programs 606 $aInformation visualization 606 $aR (Computer program language) 615 0$aStatistics$xComputer programs. 615 0$aInformation visualization. 615 0$aR (Computer program language). 676 $a005.4 700 $aLoo$b Mark van der$f1976-$01346045 701 $aJonge$b Edwin de$f1972-$01506768 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910786068503321 996 $aLearning RStudio for R statistical computing$93737134 997 $aUNINA