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Software Carpentry: R for Reproducible Scientific Analysis

Allen, James; Arnold, Jeffrey; Bachant, Pete; Banaszkiewicz, Piotr; Bekolay, Trevor; Black, Mik; Blischak, John; Boughton, Andy; Broman, Karl; Cabunoc Mayes, Abigail; Chatzidimitriou, Kyriakos; Daigle, Remi; Dashnow, Harriet; Duckles, Jonah; Emonet, Rémi; Faux, Noel; Griffin, Pip; Hansen, Michael; Ing-Simmons, Liz; Harris, David J.; Jackson, Mike; King, W. Trevor; Konrad, Bernhard; Kuzak, Mateusz; MacDonald, Andrew; Mayer, Fernando; 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; Schloss, Pat; Senyondo, Henry; Silva, Raniere; Sloggett, Clare; Srinath, Ashwin; Sze, Marc; Teucher, Andy; Tyre, Drew; Dalla Riva, Giulio; Van Rossum, Thea; Wilson, Greg; Woo, Kara; Wright, Tom; Zimmerman, Naupaka

Editor(s)
Wright, Thomas; Zimmerman, Naupaka

A full-day introduction to data analysis using R, written and maintained by the Software Carpentry team.

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