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@book{Burns2011,
title={The R inferno},
author={Burns, Patrick},
year={2011},
publisher={Lulu.com}
}
@article{Eddelbuettel2011,
title={Rcpp: Seamless R and C++ integration},
author={Eddelbuettel, Dirk and Fran{\c{c}}ois, Romain},
journal={Journal of Statistical Software},
volume={40},
number={8},
pages={1--18},
year={2011}
}
@book{Eddelbuettel2013,
title={Seamless R and C++ integration with Rcpp},
author={Eddelbuettel, Dirk},
year={2013},
publisher={Springer}
}
@book{Mcconnell2004,
title={Code complete},
author={McConnell, Steve},
year={2004},
publisher={Pearson Education}
}
@book{Wickham2014,
title={Advanced R},
author={Wickham, Hadley},
year={2014},
publisher={CRC Press}
}
@article{sekhon2006art,
title={The Art of Benchmarking: Evaluating the Performance of R on Linux and OS X},
author={Sekhon, Jasjeet S},
journal={The Political Methodologist},
volume={14},
number={1},
pages={15--19},
year={2006}
}
@misc{eddelbuettel2010benchmarking,
title={Benchmarking single-and multi-core BLAS implementations and GPUs for use with R},
author={Eddelbuettel, Dirk},
year={2010},
publisher={Mathematica}
}
@article{Wickham_2014, title={Tidy data}, volume={14}, ISSN={1548-7660}, url={http://www.jstatsoft.org/v59/i10 http://vita.had.co.nz/papers/tidy-data.html}, number={5}, journal={The Journal of Statistical Software}, author={Wickham, Hadley}, year={2014}}
@article{PMBoK_2000, title={Guide to the project Management body of knowledge}, journal={Project Management Institute, Pennsylvania USA}, author={PMBoK, A}, year={2000}}
@book{Wickham_2015, title={R Packages}, ISBN={978-1-4919-1056-6}, abstractNote={Turn your R code into packages that others can easily download and use. This practical book shows you how to bundle reusable R functions, sample data, and documentation together by applying author Hadley Wickham’s package development philosophy. In the process, you’ll work with devtools, roxygen, and testthat, a set of R packages that automate common development tasks. Devtools encapsulates best practices that Hadley has learned from years of working with this programming language.Ideal for developers, data scientists, and programmers with various backgrounds, this book starts you with the basics and shows you how to improve your package writing over time. You’ll learn to focus on what you want your package to do, rather than think about package structure.Learn about the most useful components of an R package, including vignettes and unit testsAutomate anything you can, taking advantage of the years of development experience embodied in devtoolsGet tips on good style, such as organizing functions into filesStreamline your development process with devtoolsLearn the best way to submit your package to the Comprehensive R Archive Network (CRAN)Learn from a well-respected member of the R community who created 30 R packages, including ggplot2, dplyr, and tidyr}, publisher={O’Reilly Media, Inc.}, author={Wickham, Hadley}, year={2015}, month={Mar}}
@article{Eddelbuettel_2011, title={Rcpp: Seamless R and C++ integration}, volume={40}, number={8}, journal={Journal of Statistical Software}, author={Eddelbuettel, Dirk and François, Romain and Allaire, J. and Chambers, John and Bates, Douglas and Ushey, Kevin}, year={2011}, pages={1–18}}