References

Afanador-Llach, Maria José, Antonio Rojas Castro, Adam Crymble, Víctor Gayol, Fred Gibbs, Caleb McDaniel, Ian Milligan, Evan Taparata, Amanda Visconti, and Jeri Wieringa, eds. The Programming Historian. 2nd ed., 2017. http://programminghistorian.org/.

Arguing with Digital History working group. “Digital History and Argument.” Roy Rosenzweig Center for History & New Media, November 2017. https://rrchnm.org/argument-white-paper/.

Arnold, Taylor, and Lauren Tilton. Humanities Data in R. Springer, 2015. http://link.springer.com/10.1007/978-3-319-20702-5.

Blevins, Cameron. “Mining and Mapping the Production of Space: A View of the World from Houston.” The Spatial History Project, 2014. http://web.stanford.edu/group/spatialhistory/cgi-bin/site/pub.php?id=93.

———. “Space, Nation, and the Triumph of Region: A View of the World from Houston.” Journal of American History 101, no. 1 (June 2014): 122–47. doi:10.1093/jahist/jau184.

Cordell, Ryan. “Reprinting, Circulation, and the Network Author in Antebellum Newspapers.” American Literary History 27, no. 3 (September 2015): 417–45. doi:10.1093/alh/ajv028.

Fischer, David Hackett. Historians’ Fallacies: Toward a Logic of Historical Thought. Harper & Row, 1970.

Graham, Shawn, Ian Milligan, and Scott Weingart. Exploring Big Historical Data: The Historian’s Macroscope. Imperial College Press, 2015. http://www.themacroscope.org/2.0/.

Guldi, Jo, and David Armitage. The History Manifesto. Cambridge University Press, 2014. http://dx.doi.org/10.1017/9781139923880.

Hitchcock, Tim, and William J. Turkel. “The Old Bailey Proceedings, 1674–1913: Text Mining for Evidence of Court Behavior.” Law and History Review 34, no. 4 (August 2016): 1–27. doi:10.1017/S0738248016000304.

Jockers, Matthew L. Text Analysis with R for Students of Literature. Springer, 2014. http://link.springer.com/10.1007/978-3-319-03164-4.

Juola, Patrick, and Stephen Ramsay. Six Septembers: Mathematics for the Humanist. Zea Books, 2017. https://digitalcommons.unl.edu/zeabook/55.

Long, John H., and Peggy Tuck Sinko. Atlas of Historical County Boundaries. Newberry Library, 2010. http://publications.newberry.org/ahcbp/.

Mullen, Lincoln. Historydata: Data Sets for Historians, 2017. https://github.com/ropensci/historydata.

Mullen, Lincoln A. America’s Public Bible: Biblical Quotations in U.S. Newspapers. Stanford University Press, 2018. http://americaspublicbible.org.

Putnam, Lara. “The Transnational and the Text-Searchable: Digitized Sources and the Shadows They Cast.” The American Historical Review 121, no. 2 (2016): 377–402. doi:10.1093/ahr/121.2.377.

R Core Team. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing, 2017. https://www.R-project.org/.

Smith, David A., Ryan Cordell, and Abby Mullen. “Computational Methods for Uncovering Reprinted Texts in Antebellum Newspapers.” American Literary History 27, no. 3 (September 2015): E1–E15. doi:10.1093/alh/ajv029.

Spinu, Vitalie, Garrett Grolemund, and Hadley Wickham. Lubridate: Make Dealing with Dates a Little Easier, 2018. https://CRAN.R-project.org/package=lubridate.

Thomas III, William G. “Computing and the Historical Imagination.” In Companion to Digital Humanities, edited by Susan Schreibman, Ray Siemens, and John Unsworth. Blackwell, 2004. http://www.digitalhumanities.org/companion/.

Thomas, William G., III, Richard Healey, and Ian Cottingham. “Railroads and the Making of Modern America,” 2006. http://railroads.unl.edu/.

Wickham, Hadley. Advanced R. Chapman & Hall/CRC, 2014. http://adv-r.had.co.nz/.

———. R Packages. O’Reilly, 2015. http://r-pkgs.had.co.nz/.

———. “Tidy Data.” The Journal of Statistical Software 59, no. 10 (2014). http://www.jstatsoft.org/v59/i10/.

———. Tidyverse: Easily Install and Load the ’Tidyverse’, 2017. https://CRAN.R-project.org/package=tidyverse.

Wickham, Hadley, and Garrett Grolemund. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. O’Reilly Media, 2017. http://r4ds.had.co.nz/.