Lesson Open Access

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

Editor(s)
Wright, Tom; Zimmerman, Naupaka

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

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r-novice-gapminder-2017.08.zip md5:4e5db2d8ceaf50edd7b5de7a51a95821 5.3 MB Download

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