Christopher Gandrud
Reproducible Research with R and RStudio
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Christopher Gandrud
Reproducible Research with R and RStudio
- Broschiertes Buch
Brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow.
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Brings together the skills and tools needed for doing and presenting computational research. Using straightforward examples, the book takes you through an entire reproducible research workflow.
Produktdetails
- Produktdetails
- Chapman & Hall/CRC The R Series
- Verlag: Taylor & Francis Ltd
- 3 ed
- Seitenzahl: 276
- Erscheinungstermin: 13. Februar 2020
- Englisch
- Abmessung: 235mm x 159mm x 20mm
- Gewicht: 468g
- ISBN-13: 9780367143985
- ISBN-10: 0367143984
- Artikelnr.: 58730209
- Chapman & Hall/CRC The R Series
- Verlag: Taylor & Francis Ltd
- 3 ed
- Seitenzahl: 276
- Erscheinungstermin: 13. Februar 2020
- Englisch
- Abmessung: 235mm x 159mm x 20mm
- Gewicht: 468g
- ISBN-13: 9780367143985
- ISBN-10: 0367143984
- Artikelnr.: 58730209
Christopher Gandrud is Head of Economics and Experimentation at Zalando SE where he leads teams of social data scientists and software engineers building large scale automated decision-making systems. He was previously a research fellow at the Institute for Quantitative Social Science, Harvard University developing statistical software for the social and physical sciences. He has published many articles in peer-reviewed journals, including the Journal of Common Market Studies, Review of International Political Economy, Political Science Research and Methods, Journal of Statistical Software, and International Political Science Review. He earned a PhD in quantitative political science from the London School of Economics.
Introducing Reproducible Research. Getting Started with Reproducible
Research. Getting Started with R, RStudio, and knitr/R Markdown. Getting
Started with File Management. Storing, Collaborating, Accessing Files, and
Versioning. Gathering Data with R. Preparing Data for Analysis. Statistical
Modeling and knitr/R Markdown. Showing Results with Tables. Showing Results
with Figures. Presenting with LaTeX. Presenting in a Variety of Formats
with R Markdown. Conclusion.
Research. Getting Started with R, RStudio, and knitr/R Markdown. Getting
Started with File Management. Storing, Collaborating, Accessing Files, and
Versioning. Gathering Data with R. Preparing Data for Analysis. Statistical
Modeling and knitr/R Markdown. Showing Results with Tables. Showing Results
with Figures. Presenting with LaTeX. Presenting in a Variety of Formats
with R Markdown. Conclusion.
Introducing Reproducible Research. Getting Started with Reproducible
Research. Getting Started with R, RStudio, and knitr/R Markdown. Getting
Started with File Management. Storing, Collaborating, Accessing Files, and
Versioning. Gathering Data with R. Preparing Data for Analysis. Statistical
Modeling and knitr/R Markdown. Showing Results with Tables. Showing Results
with Figures. Presenting with LaTeX. Presenting in a Variety of Formats
with R Markdown. Conclusion.
Research. Getting Started with R, RStudio, and knitr/R Markdown. Getting
Started with File Management. Storing, Collaborating, Accessing Files, and
Versioning. Gathering Data with R. Preparing Data for Analysis. Statistical
Modeling and knitr/R Markdown. Showing Results with Tables. Showing Results
with Figures. Presenting with LaTeX. Presenting in a Variety of Formats
with R Markdown. Conclusion.