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OLS Field Name OLS Field Data
Main Title Reproducible research with R and R Studio /
Author Gandrud, Christopher.
Publisher CRC Press/Taylor & Francis Group,
Year Published 2014
OCLC Number 800035632
ISBN 9781466572843; 1466572841
Subjects Research--Statistical methods. ; R (Computer program language) ; MATHEMATICS--Probability & Statistics--General. ; Empirische Forschung.--(DE-588)4300400-3 ; Quantitative Methode.--(DE-588)4232139-6 ; R (Programm)--(DE-588)4705956-4 ; Sprêak--databehandling.
Internet Access
Description Access URL
Cover image http://images.tandf.co.uk/common/jackets/websmall/978146657/9781466572843.jpg
http://pda.library.cornell.edu/coutts/pod.cgi?CouttsID=cou25078162
Table of contents http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=026860551&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA
Holdings
Library Call Number Additional Info Location Last
Modified
Checkout
Status
ELBM  Q180.55.S7G36 2014 AWBERC Library/Cincinnati,OH 11/17/2014
ESBM  Q180.55.S7G36 2014 CPHEA/PESD Library/Corvallis,OR 01/06/2014 STATUS
Collation xxv, 288 pages : illustrations ; 24 cm.
Notes
Includes bibliographical references (pages 271-277) and index.
Contents Notes
"Preface This book has its genesis in my PhD research at the London School of Economics. I started the degree with questions about the 2008/09 financial crisis and planned to spend most of my time researching about capital adequacy requirements. But I quickly realized much of my time would actually be spent learning the day-to-day tasks of data gathering, analysis, and results presentation. After plodding through for awhile, the breaking point came while reentering results into a regression table after I had tweaked one of my statistical models, yet again. Surely there was a better way to do research that would allow me to spend more time answering my research questions. Making research reproducible for others also means making it better organized and efficient for yourself. So, my search for a better way led me straight to the tools for reproducible computational research. The reproducible research community is very active, knowledgeable and helpful. Nonetheless, I often encountered holes in this collective knowledge, or at least had no resource to bring it all together as a whole. That is my intention for this book: to bring together the skills I have picked up for actually doing and presenting computational research. Hopefully, the book along with making reproducible research more common, will save researchers hours of Googling, so they can spend more time addressing their research questions. I would not have been able to write this book without many people's advice and support. Foremost is John Kimmel, acquisitions editor at Chapman & Hall. He approached me with in Spring 2012 with the general idea and opportunity for this book"-- Introducing reproducible research -- Getting started with reproducible research -- Getting started with R, RStudio, and knitr -- Getting started with file management -- Data gathering and storage storing, collaborating, accessing files, and versioning -- Gathering data with R -- Preparing data for analysis -- Analysis and results statistical modeling and knitr -- Showing results with tables -- Showing results with figures -- Presentation documents Presenting with LaTeX -- Large LaTeX documents: theses, books, and batch reports -- Presenting on the web with markdown -- Conclusion.