Learning RStudio for R Statistical Computing
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| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Birmingham
Packt Pub.
2012
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| Schriftenreihe: | Community experience distilled
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| 500 | |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. | ||
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| 500 | |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 | ||
| 500 | |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 | ||
| 500 | |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 | ||
| 500 | |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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Datensatz im Suchindex
| _version_ | 1804175483166785536 |
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| any_adam_object | |
| author | Van der Loo, Mark P. J. |
| author_facet | Van der Loo, Mark P. J. |
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| author_sort | Van der Loo, Mark P. J. |
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| dewey-ones | 005 - Computer programming, programs, data, security |
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| dewey-search | 005.4 |
| dewey-sort | 15.4 |
| dewey-tens | 000 - Computer science, information, general works |
| discipline | Informatik |
| format | Electronic eBook |
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| id | DE-604.BV043086439 |
| illustrated | Not Illustrated |
| indexdate | 2024-07-10T07:17:00Z |
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| language | English |
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| physical | 1 Online-Ressource (248 pages) |
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| publishDate | 2012 |
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| publisher | Packt Pub. |
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| series2 | Community experience distilled |
| spelling | Van der Loo, Mark P. J. Verfasser aut Learning RStudio for R Statistical Computing Birmingham Packt Pub. 2012 1 Online-Ressource (248 pages) txt rdacontent c rdamedia cr rdacarrier Community experience distilled More about the devtools package 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. 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 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 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 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 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 Mac OS. Macintosh (Computer) / Programming R (Computer program language) Open source software Operating systems (Computers) COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh Open source software fast Operating systems (Computers) fast R (Computer program language) fast Datenaufbereitung (DE-588)4148865-9 gnd rswk-swf R Programm (DE-588)4705956-4 gnd rswk-swf R Programm (DE-588)4705956-4 s Datenaufbereitung (DE-588)4148865-9 s 1\p DE-604 De Jonge, Edwin Sonstige oth http://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&db=nlabk&AN=526158 Aggregator Volltext 1\p cgwrk 20201028 DE-101 https://d-nb.info/provenance/plan#cgwrk |
| spellingShingle | Van der Loo, Mark P. J. Learning RStudio for R Statistical Computing Mac OS. Macintosh (Computer) / Programming R (Computer program language) Open source software Operating systems (Computers) COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh Open source software fast Operating systems (Computers) fast R (Computer program language) fast Datenaufbereitung (DE-588)4148865-9 gnd R Programm (DE-588)4705956-4 gnd |
| subject_GND | (DE-588)4148865-9 (DE-588)4705956-4 |
| title | Learning RStudio for R Statistical Computing |
| title_auth | Learning RStudio for R Statistical Computing |
| title_exact_search | Learning RStudio for R Statistical Computing |
| title_full | Learning RStudio for R Statistical Computing |
| title_fullStr | Learning RStudio for R Statistical Computing |
| title_full_unstemmed | Learning RStudio for R Statistical Computing |
| title_short | Learning RStudio for R Statistical Computing |
| title_sort | learning rstudio for r statistical computing |
| topic | Mac OS. Macintosh (Computer) / Programming R (Computer program language) Open source software Operating systems (Computers) COMPUTERS / Software Development & Engineering / Systems Analysis & Design bisacsh Open source software fast Operating systems (Computers) fast R (Computer program language) fast Datenaufbereitung (DE-588)4148865-9 gnd R Programm (DE-588)4705956-4 gnd |
| topic_facet | Mac OS. Macintosh (Computer) / Programming R (Computer program language) Open source software Operating systems (Computers) COMPUTERS / Software Development & Engineering / Systems Analysis & Design Datenaufbereitung R Programm |
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