Software Carpentry: R for Reproducible Scientific Analysis
- Arnold, Jeffrey
- Ashander, Jaime
- Attali, Dean
- Bagchi, Robert
- Bazaar, Research
- Becker, Erin
- Best, Benjamin D.
- Black, Mik
- Blischak, John
- Boersch-Supan, Philipp
- Bolker, Ben
- Breckels, Lisa
- Broman, Karl
- Burge, Olivia
- Chatzidimitriou, Kyriakos
- Daigle, Remi
- Dashnow, Harriet
- Deer, Lachlan
- Faux, Noel
- Funkhouser, Scott
- Gonzalez, Ivan
- Griffin, Pip
- Hadley, Martin J.
- Harris, David J.
- Ing-Simmons, Liz
- Johnston, Luke W.
- Konrad, Bernhard
- Koziar, Katherine
- Kronenberg, Hannah
- Kuzak, Mateusz
- Lange, Rebecca
- Leonard, Conrad
- Ligtenberg, Willem
- Lindsay, Helen
- Lonsdale, Andrew
- MacDonald, Andrew
- Marwaha, Kunal
- Mayer, Fernando
- McDonald, Robert
- Michonneau, François
- Mickley, James
- Mills, Bill
- Mitchell, Nora
- Moore, Tim
- Morrison, Elise
- Munro, Sarah
- Oliver, Jeffrey
- Owsley, Braden
- Penrose, Sam
- Polito, Vince
- Rabatone Oliveira, Diego
- Reich, Marvin
- Rice, Timothy
- Ritchie, Scott
- Samuk, Kieran
- Schloss, Pat
- Senyondo, Henry
- Silva, Raniere
- Sloggett, Clare
- Sparks, Adam H.
- Syme, Robert
- Sze, Marc
- Takemon, Yuka
- Teucher, Andy
- Thelwall, Simon
- Thomas, Damian
- Todd-Brown, Kathe
- Tyre, Drew
- Valentino Dalla Riva, Giulio
- Van Rossum, Thea
- Woo, Kara
- Wright, Tom
- Zappia, Luke
- Zimmerman, Naupaka
Publication date
August 2017
DOIAbstract
A full-day introduction to data analysis using R, written and maintained by the Software Carpentry team
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