Learning RStudio for R Statistical Computing.

A 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 develo...

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Bibliographic Details
Online Access: Full text (MCPHS users only)
Main Author: Van der Loo, Mark P. J.
Other Authors: De Jonge, Edwin
Format: Electronic eBook
Language:English
Published: Birmingham : Packt Pub., 2012
Series:Community experience distilled.
Subjects:
Local Note:ProQuest Ebook Central

MARC

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100 1 |a Van der Loo, Mark P. J. 
245 1 0 |a Learning RStudio for R Statistical Computing. 
260 |a Birmingham :  |b Packt Pub.,  |c 2012. 
300 |a 1 online resource (248 pages) 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
490 1 |a Community experience distilled 
505 0 |a Table of Contents; Learning RStudio for R Statistical Computing; Learning RStudio for R Statistical Computing; Credits; About the Authors; About the Reviewers; www.PacktPub.com; Support files, eBooks, discount offers and more; Why Subscribe?; Free Access for Packt account holders; Preface; What this book covers; What you need for this book; Who this book is for; Conventions; Reader feedback; Customer support; Downloading the example code; Errata; Piracy; Questions; 1. Getting Started; RStudio at a glance; Installing RStudio; Installing R; Installing R on Windows and Mac OS X. 
505 8 |a Installing R on LinuxBuilding 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; 2. Writing R Scripts and the R Console; Moving around RStudio; Keyboard shortcuts to move around RStudio; Features of the R console; Executing commands; Command history; Command completion; Completion of functions and arguments; Object completion; Completion of filenames; Bracket and quote completion; Keyboard shortcuts for the console. 
505 8 |a Features of the source editorA few words on code quality; Editing R scripts; Keyboard shortcuts for file navigation; Keyboard shortcuts for code editing; Syntax highlighting; Adjusting the syntax highlighting theme; Indenting code; Commenting code; Find and replace; Folding, sectioning, and navigation; Code folding; Keyboard shortcuts for code folding; Code navigation; Keyboard shortcuts for code navigation; Code sections; Code execution; Keyboard shortcuts for code execution; Summary; 3. Viewing and Plotting Data; Viewing data and the object browser; Plotting; Zoom; Export; Navigation. 
505 8 |a Interactive plotting with the manipulate packageThe manipulate function; Using more options of manipulate; Advanced topic: retrieving plot parameters from manipulate; Summary; 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; 5. Generating Reports; Prerequisites for report generation; Notebook; Notebook options; Publishing a notebook; R Markdown and Rhtml. 
505 8 |a Workflow for R MarkdownAn extended example; An introduction to Markdown syntax; Rhtml; 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; 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. 
520 |a A 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. 
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590 |a ProQuest Ebook Central  |b Ebook Central College Complete 
650 0 |a R (Computer program language) 
650 0 |a Open source software. 
650 0 |a Operating systems (Computers) 
650 7 |a operating systems.  |2 aat 
700 1 |a De Jonge, Edwin. 
776 0 8 |i Print version:  |a Van der Loo, Mark P.J.  |t Learning RStudio for R Statistical Computing.  |d Birmingham : Packt Publishing, ©2012  |z 9781782160601 
830 0 |a Community experience distilled. 
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