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"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"--
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Subjects
Research, data processing, Programming languages (electronic computers), Science, Research, Statistical methods, R (Computer program language), MATHEMATICS / Probability & Statistics / General, Empirische Forschung, Quantitative Methode, R (Programm), Recherche, Méthodes statistiques, R (Langage de programmation), BUSINESS & ECONOMICS, Statistics, MATHEMATICS, Probability & Statistics, General, REFERENCE, Questions & Answers, RShowing 16 featured editions. View all 16 editions?
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Reproducible Research with R and RStudio
2020, Taylor & Francis Group
in English
0367143984 9780367143985
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02
Reproducible Research with R and RStudio
2020, Taylor & Francis Group
in English
0429031858 9780429031854
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03
Reproducible Research with R and RStudio
2020, Taylor & Francis Group
in English
0429626312 9780429626319
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04
Reproducible Research with R and RStudio
2020, Taylor & Francis Group
in English
0429627955 9780429627958
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05
Reproducible Research with R and RStudio
2020, Taylor & Francis Group
in English
0429629591 9780429629594
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06
Reproducible Research with R and RStudio
2020, Taylor & Francis Group
in English
0367144026 9780367144029
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07
Reproducible Research with R and R Studio
2018, Taylor & Francis Group
in English
1315382547 9781315382548
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08
Reproducible Research with R and R Studio
2018, Taylor & Francis Group
in English
149878738X 9781498787383
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09
Reproducible Research with R and R Studio
2018, Taylor & Francis Group
in English
1315363291 9781315363295
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10
Reproducible Research with R and R Studio
2018, Taylor & Francis Group
in English
1498715389 9781498715386
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11
Reproducible Research with R and R Studio
2018, Taylor & Francis Group
in English
1315360721 9781315360720
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12
Reproducible Research with R and R Studio
2017, Taylor & Francis Group
in English
1138469645 9781138469648
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13
Reproducible research with R and RStudio
2015, CRC Press, Taylor & Francis Group
in English
- Second edition.
1498715370 9781498715379
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14
Reproducible research with R and R Studio
2014, CRC Press/Taylor & Francis Group
in English
1466572841 9781466572843
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15
Reproducible Research with R and RStudio
2013, Taylor & Francis Group
in English
146657285X 9781466572850
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16
Reproducible Research with R and R Studio
2013, Taylor & Francis Group
in English
0429071612 9780429071614
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Book Details
Edition Notes
"A Chapman & Hall book."
Includes bibliographical references (pages 277-283) and index.
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The Physical Object
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