rdf-syntax-grammar
mods:
  schema location: http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
  title info:
    title: Learning RStudio for R Statistical Computing
  name:
    name part: Van der Loo, Mark P. J.
    role:
      role term: creator
  name:
    name part: De Jonge, Edwin.
  type of resource: text
  genre: elektronické knihy
  genre: electronic books
  origin info:
    place:
      place term: enk
    place:
      place term: Birmingham
    publisher: Packt Pub.
    date issued: 2012
    issuance: monographic
  language:
    language term: eng
  physical description:
    form: remote
    extent: 1 online resource (248 pages)
  abstract: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  table of contents: 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.
  note: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  subject:
    topic: R (Computer program language)
  subject:
    topic: Open source software
  subject:
    topic: Operating systems (Computers)
  related item:
    title info:
      title: Learning RStudio for R Statistical Computing
    name:
      name part: Van der Loo, Mark P.J.
    origin info:
      publisher: Birmingham : Packt Publishing, ©2012
  related item:
    title info:
      title: Community experience distilled
  identifier: 9781782160618
  identifier: 1782160612
  identifier: 9781680153569
  identifier: 1680153560
  identifier: 1782160604
  identifier: 9781782160601
  identifier: https://proxy.k.utb.cz/login
  access condition: Plný text je dostupný pouze z IP adres počítačů Univerzity Tomáše Bati ve Zlíně nebo vzdáleným přístupem pro zaměstnance a studenty
  record info:
    record content source: EBLCP
    record creation date: 130109
    record change date: 20240717213016.0
    record identifier: kn-ocn823719008
    language of cataloging:
      language term: eng