Implementing Reproducible Research

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Author :
Publisher : CRC Press
ISBN 13 : 131536039X
Total Pages : 450 pages
Book Rating : 4.93/5 ( download)

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Book Synopsis Implementing Reproducible Research by : Victoria Stodden

Download or read book Implementing Reproducible Research written by Victoria Stodden and published by CRC Press. This book was released on 2018-12-14 with total page 450 pages. Available in PDF, EPUB and Kindle. Book excerpt: In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.

Implementing Reproducible Research

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Author :
Publisher : CRC Press
ISBN 13 : 1315362767
Total Pages : 448 pages
Book Rating : 4.62/5 ( download)

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Book Synopsis Implementing Reproducible Research by : Victoria Stodden

Download or read book Implementing Reproducible Research written by Victoria Stodden and published by CRC Press. This book was released on 2018-12-14 with total page 448 pages. Available in PDF, EPUB and Kindle. Book excerpt: In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.

Implementing Reproducible Research

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Author :
Publisher :
ISBN 13 : 9781306866361
Total Pages : 440 pages
Book Rating : 4.67/5 ( download)

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Book Synopsis Implementing Reproducible Research by : Victoria Stodden

Download or read book Implementing Reproducible Research written by Victoria Stodden and published by . This book was released on 2014-01-01 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: In computational science, reproducibility requires that researchers make code and data available to others so that the data can be analyzed in a similar manner as in the original publication. Code must be available to be distributed, data must be accessible in a readable format, and a platform must be available for widely distributing the data and code. In addition, both data and code need to be licensed permissively enough so that others can reproduce the work without a substantial legal burden. Implementing Reproducible Research covers many of the elements necessary for conducting and distributing reproducible research. It explains how to accurately reproduce a scientific result. Divided into three parts, the book discusses the tools, practices, and dissemination platforms for ensuring reproducibility in computational science. It describes: Computational tools, such as Sweave, knitr, VisTrails, Sumatra, CDE, and the Declaratron system Open source practices, good programming practices, trends in open science, and the role of cloud computing in reproducible research Software and methodological platforms, including open source software packages, RunMyCode platform, and open access journals Each part presents contributions from leaders who have developed software and other products that have advanced the field. Supplementary material is available at www.ImplementingRR.org.

Reproducible Research with R and RStudio

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Author :
Publisher : CRC Press
ISBN 13 : 0429629591
Total Pages : 299 pages
Book Rating : 4.94/5 ( download)

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Book Synopsis Reproducible Research with R and RStudio by : Christopher Gandrud

Download or read book Reproducible Research with R and RStudio written by Christopher Gandrud and published by CRC Press. This book was released on 2020-02-21 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: Praise for previous editions: "Gandrud has written a great outline of how a fully reproducible research project should look from start to finish, with brief explanations of each tool that he uses along the way... Advanced undergraduate students in mathematics, statistics, and similar fields as well as students just beginning their graduate studies would benefit the most from reading this book. Many more experienced R users or second-year graduate students might find themselves thinking, ‘I wish I’d read this book at the start of my studies, when I was first learning R!’...This book could be used as the main text for a class on reproducible research ..." (The American Statistician) Reproducible Research with R and R Studio, Third Edition 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. This practical workflow enables you to gather and analyze data as well as dynamically present results in print and on the web. Supplementary materials and example are available on the author’s website. New to the Third Edition Updated package recommendations, examples, URLs, and removed technologies no longer in regular use. More advanced R Markdown (and less LaTeX) in discussions of markup languages and examples. Stronger focus on reproducible working directory tools. Updated discussion of cloud storage services and persistent reproducible material citation. Added discussion of Jupyter notebooks and reproducible practices in industry. Examples of data manipulation with Tidyverse tibbles (in addition to standard data frames) and pivot_longer() and pivot_wider() functions for pivoting data. Features Incorporates the most important advances that have been developed since the editions were published Describes a complete reproducible research workflow, from data gathering to the presentation of results Shows how to automatically generate tables and figures using R Includes instructions on formatting a presentation document via markup languages Discusses cloud storage and versioning services, particularly Github Explains how to use Unix-like shell programs for working with large research projects

The Practice of Reproducible Research

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Publisher : Univ of California Press
ISBN 13 : 0520294750
Total Pages : 364 pages
Book Rating : 4.52/5 ( download)

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Book Synopsis The Practice of Reproducible Research by : Justin Kitzes

Download or read book The Practice of Reproducible Research written by Justin Kitzes and published by Univ of California Press. This book was released on 2018 with total page 364 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Practice of Reproducible Research presents concrete examples of how researchers in the data-intensive sciences are working to improve the reproducibility of their research projects. In each of the thirty-one case studies in this volume, the author or team describes the workflow that they used to complete a real-world research project. Authors highlight how they utilized particular tools, ideas, and practices to support reproducibility, emphasizing the very practical how, rather than the why or what, of conducting reproducible research. Part 1 provides an accessible introduction to reproducible research, a basic reproducible research project template, and a synthesis of lessons learned from across the thirty-one case studies. Parts 2 and 3 focus on the case studies themselves. The Practice of Reproducible Research is an invaluable resource for students and researchers who wish to better understand the practice of data-intensive sciences and learn how to make their own research more reproducible.

Reproducibility and Replicability in Science

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Publisher : National Academies Press
ISBN 13 : 0309486165
Total Pages : 257 pages
Book Rating : 4.63/5 ( download)

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Book Synopsis Reproducibility and Replicability in Science by : National Academies of Sciences, Engineering, and Medicine

Download or read book Reproducibility and Replicability in Science written by National Academies of Sciences, Engineering, and Medicine and published by National Academies Press. This book was released on 2019-10-20 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: One of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.

Development Research in Practice

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Author :
Publisher : World Bank Publications
ISBN 13 : 1464816956
Total Pages : 388 pages
Book Rating : 4.56/5 ( download)

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Book Synopsis Development Research in Practice by : Kristoffer Bjärkefur

Download or read book Development Research in Practice written by Kristoffer Bjärkefur and published by World Bank Publications. This book was released on 2021-07-16 with total page 388 pages. Available in PDF, EPUB and Kindle. Book excerpt: Development Research in Practice leads the reader through a complete empirical research project, providing links to continuously updated resources on the DIME Wiki as well as illustrative examples from the Demand for Safe Spaces study. The handbook is intended to train users of development data how to handle data effectively, efficiently, and ethically. “In the DIME Analytics Data Handbook, the DIME team has produced an extraordinary public good: a detailed, comprehensive, yet easy-to-read manual for how to manage a data-oriented research project from beginning to end. It offers everything from big-picture guidance on the determinants of high-quality empirical research, to specific practical guidance on how to implement specific workflows—and includes computer code! I think it will prove durably useful to a broad range of researchers in international development and beyond, and I learned new practices that I plan on adopting in my own research group.†? —Marshall Burke, Associate Professor, Department of Earth System Science, and Deputy Director, Center on Food Security and the Environment, Stanford University “Data are the essential ingredient in any research or evaluation project, yet there has been too little attention to standardized practices to ensure high-quality data collection, handling, documentation, and exchange. Development Research in Practice: The DIME Analytics Data Handbook seeks to fill that gap with practical guidance and tools, grounded in ethics and efficiency, for data management at every stage in a research project. This excellent resource sets a new standard for the field and is an essential reference for all empirical researchers.†? —Ruth E. Levine, PhD, CEO, IDinsight “Development Research in Practice: The DIME Analytics Data Handbook is an important resource and a must-read for all development economists, empirical social scientists, and public policy analysts. Based on decades of pioneering work at the World Bank on data collection, measurement, and analysis, the handbook provides valuable tools to allow research teams to more efficiently and transparently manage their work flows—yielding more credible analytical conclusions as a result.†? —Edward Miguel, Oxfam Professor in Environmental and Resource Economics and Faculty Director of the Center for Effective Global Action, University of California, Berkeley “The DIME Analytics Data Handbook is a must-read for any data-driven researcher looking to create credible research outcomes and policy advice. By meticulously describing detailed steps, from project planning via ethical and responsible code and data practices to the publication of research papers and associated replication packages, the DIME handbook makes the complexities of transparent and credible research easier.†? —Lars Vilhuber, Data Editor, American Economic Association, and Executive Director, Labor Dynamics Institute, Cornell University

Reproducible Finance with R

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Author :
Publisher : CRC Press
ISBN 13 : 1351052608
Total Pages : 248 pages
Book Rating : 4.03/5 ( download)

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Book Synopsis Reproducible Finance with R by : Jonathan K. Regenstein, Jr.

Download or read book Reproducible Finance with R written by Jonathan K. Regenstein, Jr. and published by CRC Press. This book was released on 2018-09-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Reproducible Finance with R: Code Flows and Shiny Apps for Portfolio Analysis is a unique introduction to data science for investment management that explores the three major R/finance coding paradigms, emphasizes data visualization, and explains how to build a cohesive suite of functioning Shiny applications. The full source code, asset price data and live Shiny applications are available at reproduciblefinance.com. The ideal reader works in finance or wants to work in finance and has a desire to learn R code and Shiny through simple, yet practical real-world examples. The book begins with the first step in data science: importing and wrangling data, which in the investment context means importing asset prices, converting to returns, and constructing a portfolio. The next section covers risk and tackles descriptive statistics such as standard deviation, skewness, kurtosis, and their rolling histories. The third section focuses on portfolio theory, analyzing the Sharpe Ratio, CAPM, and Fama French models. The book concludes with applications for finding individual asset contribution to risk and for running Monte Carlo simulations. For each of these tasks, the three major coding paradigms are explored and the work is wrapped into interactive Shiny dashboards.

Reproducible Research in Pattern Recognition

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Author :
Publisher : Springer Nature
ISBN 13 : 3030764230
Total Pages : 173 pages
Book Rating : 4.34/5 ( download)

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Book Synopsis Reproducible Research in Pattern Recognition by : Bertrand Kerautret

Download or read book Reproducible Research in Pattern Recognition written by Bertrand Kerautret and published by Springer Nature. This book was released on 2021-05-13 with total page 173 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book constitutes the thoroughly refereed post-workshop proceedings of the Third International Workshop on Reproducible Research in Pattern Recognition, RRPR 2021, held as a virtual event, in January 2021. The 8 revised full papers, presented together with 6 short papers, were carefully reviewed and selected from 18 submissions. The papers were organized into three main categories. The first contributions focused on reproducible research frameworks. The second category focused on reproducible research results and the last category included ICPR companion papers describing implementation and details that are an absolute requirement for reproducibility.

Psychological Science Under Scrutiny

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Publisher : John Wiley & Sons
ISBN 13 : 1118661044
Total Pages : 400 pages
Book Rating : 4.48/5 ( download)

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Book Synopsis Psychological Science Under Scrutiny by : Scott O. Lilienfeld

Download or read book Psychological Science Under Scrutiny written by Scott O. Lilienfeld and published by John Wiley & Sons. This book was released on 2017-01-03 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: Psychological Science Under Scrutiny explores a range of contemporary challenges to the assumptions and methodologies of psychology, in order to encourage debate and ground the discipline in solid science. Discusses the pointed challenges posed by critics to the field of psychological research, which have given pause to psychological researchers across a broad spectrum of sub-fields Argues that those conducting psychological research need to fundamentally change the way they think about data and results, in order to ensure that psychology has a firm basis in empirical science Places the recent challenges discussed into a broad historical and conceptual perspective, and considers their implications for the future of psychological methodology and research Challenges discussed include confirmation bias, the effects of grant pressure, false-positive findings, overestimating the efficacy of medications, and high correlations in functional brain imaging Chapters are authored by internationally recognized experts in their fields, and are written with a minimum of specialized terminology to ensure accessibility to students and lay readers