Reproducible Research with R and R StudioCRC Press, 15.07.2013 - 294 Seiten Bringing together computational research tools in one accessible source, Reproducible Research with R and RStudio guides you in creating dynamic and highly reproducible research. Suitable for researchers in any quantitative empirical discipline, it presents practical tools for data collection, data analysis, and the presentation of results.With str |
Inhalt
Data Gathering and Storage | 73 |
Analysis and Results | 143 |
Presentation Documents | 203 |
Bibliography | 271 |
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analysis argument basic bibliography BibTeX changes Chapter chunk options citation code chunk columns compile create data file data frame data gathering data set default dicult dierent Dropbox dynamically environment escape character example fertilizer consumption FertilizerConsumption Figure file called file path file’s format Gandrud ggplot2 GitHub googleVis graphics header HTML5 install intentionally left blank iso2c knit knitr code chunks label LaTeX documents Let’s Linux literate programming Load look makefile Markdown documents Markdown file markup languages merge MoltenFert names NumericVect output package version Pandoc pane parent document plot presentation documents programs replication repo repository reproducible research RStudio RStudio Projects Section SHA-1 hash shell simply slideshow slidify source code files source_data specify statistical Stodden stored Sweave syntax text files Unix-like variable vector version control web scraping webpage Windows PowerShell workflow xtable