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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Main Author: | |
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Other Authors: | |
Format: | eBook |
Language: | English |
Published: |
Birmingham :
Packt Pub.,
2012.
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Series: | Community experience distilled.
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Subjects: | |
ISBN: | 9781782160618 1782160612 9781680153569 1680153560 1782160604 9781782160601 |
Physical Description: | 1 online resource (248 pages) |
LEADER | 05718cam a2200493Mu 4500 | ||
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001 | kn-ocn823719008 | ||
003 | OCoLC | ||
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008 | 130109s2012 enk o 000 0 eng d | ||
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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. | |
506 | |a Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty | ||
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. | ||
590 | |a Knovel |b Knovel (All titles) | ||
650 | 0 | |a R (Computer program language) | |
650 | 0 | |a Open source software. | |
650 | 0 | |a Operating systems (Computers) | |
655 | 7 | |a elektronické knihy |7 fd186907 |2 czenas | |
655 | 9 | |a electronic books |2 eczenas | |
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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