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 |
| All versions | This version | |
|---|---|---|
| Views | 224 | 224 |
| Downloads | 18 | 18 |
| Data volume | 94.7 MB | 94.7 MB |
| Unique views | 195 | 195 |
| Unique downloads | 18 | 18 |
- Publication date:
- August 3, 2017
- DOI:
-
- License (for files):
- Creative Commons Attribution 4.0 International