| 000 | 00000cam u2200205 a 4500 | |
| 001 | 000045848388 | |
| 005 | 20151030151447 | |
| 008 | 151029s2015 flua b 001 0 eng d | |
| 010 | ▼a 2015026060 | |
| 020 | ▼a 9781498715379 (pbk. : alk. paper) | |
| 020 | ▼a 1498715370 (pbk. : alk. paper) | |
| 035 | ▼a (KERIS)REF000017821619 | |
| 040 | ▼a DLC ▼b eng ▼c DLC ▼e rda ▼d DLC ▼d 211009 | |
| 050 | 0 0 | ▼a Q180.55.S7 ▼b G36 2015 |
| 082 | 0 0 | ▼a 001.4/2202855133 ▼2 23 |
| 084 | ▼a 001.422 ▼2 DDCK | |
| 090 | ▼a 001.422 ▼b G196r2 | |
| 100 | 1 | ▼a Gandrud, Christopher. |
| 245 | 1 0 | ▼a Reproducible research with R and RStudio / ▼c Christopher Gandrud, Hertie School of Governance, Berlin, Germany. |
| 246 | 3 | ▼a Reproducible research with R and R Studio |
| 250 | ▼a 2nd ed. | |
| 260 | ▼a Boca Raton : ▼b CRC Press, Taylor & Francis Group, ▼c c2015. | |
| 300 | ▼a xxvii, 295 p. : ▼b ill. ; ▼c 24 cm. | |
| 490 | 1 | ▼a Chapman & Hall/CRC the R series |
| 500 | ▼a "A Chapman & Hall book." | |
| 504 | ▼a Includes bibliographical references (p. 277-283) and index. | |
| 650 | 0 | ▼a Research ▼x Statistical methods. |
| 650 | 0 | ▼a R (Computer program language). |
| 830 | 0 | ▼a Chapman & Hall/CRC the R series. |
| 945 | ▼a KLPA |
소장정보
| No. | 소장처 | 청구기호 | 등록번호 | 도서상태 | 반납예정일 | 예약 | 서비스 |
|---|---|---|---|---|---|---|---|
| No. 1 | 소장처 중앙도서관/서고6층/ | 청구기호 001.422 G196r2 | 등록번호 111743838 | 도서상태 대출가능 | 반납예정일 | 예약 | 서비스 |
컨텐츠정보
목차
Getting Started
Introducing Reproducible Research
What Is Reproducible Research?
Why Should Research Be Reproducible?
Who Should Read This Book?
The Tools of Reproducible Research
Why Use R, knitr/rmarkdown, and RStudio for Reproducible Research?
Book OverviewGetting Started with Reproducible Research
The Big Picture: A Workflow for Reproducible Research
Practical Tips for Reproducible ResearchGetting Started with R, RStudio, and knitr/rmarkdown
Using R: the Basics
Using RStudio
Using knitr and rmarkdown: the BasicsGetting Started with File Management
File Paths and Naming Conventions
Organizing Your Research Project
Setting Directories as RStudio Projects
R File Manipulation Commands
Unix-Like Shell Commands for File Management
File Navigation in RStudioData Gathering and Storage
Storing, Collaborating, Accessing Files, and Versioning
Saving Data in Reproducible Formats
Storing Your Files in the Cloud: Dropbox
Storing Your Files in the Cloud: GitHub
RStudio and GitHubGathering Data with R
Organize Your Data Gathering: Makefiles
Importing Locally Stored Data Sets
Importing Data Sets from the Internet
Advanced Automatic Data Gathering: Web ScrapingPreparing Data for Analysis
Cleaning Data for Merging
Merging Data SetsAnalysis and Results
Statistical Modelling and knitr
Incorporating Analyses into the Markup
Dynamically Including Modular Analysis Files
Reproducibly Random: set.seed
Computationally Intensive AnalysesShowing Results with Tables
Basic knitr Syntax for Tables
Table Basics
Creating Tables from Supported Class R ObjectsShowing Results with Figures
Including Non-Knitted Graphics
Basic knitr/rmarkdown Figure Options
Knitting R’s Default Graphics
Including ggplot2 Graphics
JavaScript Graphs with googleVisPresentation Documents
Presenting with knitr/LaTeX
The Basics
Bibliographies with BibTeX
Presentations with LaTeX BeamerLarge knitr/LaTeX Documents: Theses, Books, and Batch Reports
Planning Large Documents
Large Documents with Traditional LaTeX
knitr and Large Documents
Child Documents in a Different Markup Language
Creating Batch ReportsPresenting on the Web and Other Formats with R Markdown
The Basics
Further Customizability with rmarkdown
Slideshows with Markdown, rmarkdown, and HTML
Publishing HTML Documents Created by R MarkdownConclusion
Citing Reproducible Research
Licensing Your Reproducible Research
Sharing Your Code in Packages
Project Development: Public or Private?
Is it Possible to Completely Future Proof Your Research?Bibliography
Index
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