Towards reproducible research : From data analysis ( in R ) to a


Much scientific research makes use of commonly available ’office’ software. While numerous more fully-featured open-source alternatives exist, the integration of diverse tools and platforms which their use often entails can be challenging. The mp package for Emacs aims to bring together a number of these elements with the goal of simplifying the process of converting an .R file, as used for data analysis, to a nicely formatted .pdf which includes the complete description of an experiment. We discuss the rationale for development of the package and illustrate its applications and options with a series of experiments from our laboratory. Christopher Dardis ( ) Corresponding author: Dardis C, Woolf EC and Scheck AC. How to cite this article: Towards reproducible research: From data analysis (in R) to a typeset laboratory notebook (as .pdf) using the text editor Emacs with the 'mp' package [version 1; referees: 2 not approved] F1000Research 2015, :483 (doi: ) 4 10.12688/f1000research.6800.1 © 2015 Dardis C . This is an open access article distributed under the terms of the , which Copyright: et al Creative Commons Attribution Licence permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Data associated with the article are available under the terms of the (CC0 1.0 Public domain dedication). Creative Commons Zero "No rights reserved" data waiver The authors declare that no grants were involved in supporting this work. Grant information: Competing interests: No competing interests were disclosed. 05 Aug 2015, :483 (doi: ) First published: 4 10.12688/f1000research.6800.1 1 2

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@inproceedings{Schulte2016TowardsRR, title={Towards reproducible research : From data analysis ( in R ) to a}, author={Eric Schulte and Frank E. Harrell and Christopher Dardis and Adrienne C. Scheck}, year={2016} }