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author Allen, James
Arnold, Jeffrey
Ashander, Jaime
Attali, Dean
Bachant, Pete
Bagchi, Robert
Banaszkiewicz, Piotr
Bazaar, Research
Bekolay, Trevor
Best, Benjamin D.
Black, Mik
Blischak, John
Boersch-Supan, Philipp
Boughton, Andy
Breckels, Lisa
Broman, Karl
Cabunoc Mayes, Abigail
Chatzidimitriou, Kyriakos
Daigle, Remi
Dashnow, Harriet
Deer, Lachlan
Devenyi, Gabriel A.
Duckles, Jonah
Emonet, Rémi
Faux, Noel
Funkhouser, Scott
Griffin, Pip
Hansen, Michael
Harris, David J.
Hertweck, Kate
Ing-Simmons, Liz
Jackson, Mike
King, W. Trevor
Konrad, Bernhard
Kuzak, Mateusz
Lange, Rebecca
Ligtenberg, Willem
Lindsay, Helen
MacDonald, Andrew
Mayer, Fernando
McDonald, Robert
Michonneau, François
Mickley, James
Mills, Bill
Mitchell, Nora
Moore, Tim
Morrison, Elise
Nederbragt, Lex
O'Leary, Aaron
Oliver, Jeffrey
Owsley, Braden
Penrose, Sam
Pipitone, Jon
Poisot, Timothée
Rabatone Oliveira, Diego
Rice, Timothy
Ritchie, Scott
Samuk, Kieran
Schloss, Pat
Senyondo, Henry
Silva, Raniere
Sloggett, Clare
Sparks, Adam H.
Srinath, Ashwin
Sze, Marc
Teucher, Andy
Thelwall, Simon
Todd-Brown, Kathe
Tyre, Drew
Valentino Dalla Riva, Giulio
Van Rossum, Thea
Williamson, Evan P.
Wilson, Greg
Woo, Kara
Wright, Tom
Zappia, Luke
Zimmerman, Naupaka
author2 Wright, Tom
Zimmerman, Naupaka
title Software Carpentry: R for Reproducible Scientific Analysis
publishDate 2017
url https://zenodo.org/record/278224
contents A full-day introduction to data analysis using R, written and maintained by the Software Carpentry team.
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