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Record Nr. |
UNINA9910809734303321 |
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Autore |
Loo Mark van der <1976-> |
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Titolo |
Learning RStudio for R statistical computing : learn to effectively perform R development, statistical analysis, and reporting with the most popular R IDE / / Mark P. J. van der Loo, Edwin de Jonge |
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Pubbl/distr/stampa |
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Birmingham, UK : , : Packt Pub., , 2012 |
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ISBN |
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1-68015-356-0 |
1-283-93785-9 |
1-78216-061-2 |
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Edizione |
[1st ed.] |
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Descrizione fisica |
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1 online resource (126 pages) |
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Collana |
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Community experience distilled |
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Altri autori (Persone) |
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Disciplina |
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Soggetti |
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Statistics - Computer programs |
Information visualization |
R (Computer program language) |
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Lingua di pubblicazione |
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Formato |
Materiale a stampa |
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Livello bibliografico |
Monografia |
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Note generali |
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Nota di contenuto |
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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 console |
Executing 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 |
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function |
Using 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 |
An 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 |
SummaryIndex |
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Sommario/riassunto |
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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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