Capítulo 9 Referencias

Aden-Buie, Garrick. 2018. “Animations of Tidyverse Verbs Using R, the Tidyverse, and Gganimate.” GitHub Repository. https://github.com/gadenbuie/tidy-animated-verbs; GitHub.

Aho, Ken, DeWayne Derryberry, and Teri Peterson. 2014. “Model Selection for Ecologists: The Worldviews of Aic and Bic.” Ecology 95 (3). Wiley Online Library: 631–36.

Allaire, JJ, Yihui Xie, Jonathan McPherson, Javier Luraschi, Kevin Ushey, Aron Atkins, Hadley Wickham, Joe Cheng, and Winston Chang. 2018. Rmarkdown: Dynamic Documents for R. https://CRAN.R-project.org/package=rmarkdown.

Anderson, Edgar. 1935. “The Irises of the Gaspe Peninsula.” Bulletin of the American Iris Society 59: 2–5.

Barton, Kamil. 2018. MuMIn: Multi-Model Inference. https://CRAN.R-project.org/package=MuMIn.

Henderson, Harold V, and Paul F Velleman. 1981. “Building Multiple Regression Models Interactively.” Biometrics. JSTOR, 391–411.

Henry, Lionel, and Hadley Wickham. 2018. Purrr: Functional Programming Tools. https://CRAN.R-project.org/package=purrr.

Hlavac, Marek. 2018. Stargazer: Well-Formatted Regression and Summary Statistics Tables. Bratislava, Slovakia: Central European Labour Studies Institute (CELSI). https://CRAN.R-project.org/package=stargazer.

Kross, Sean, Nick Carchedi, Bill Bauer, and Gina Grdina. 2017. Swirl: Learn R, in R. https://CRAN.R-project.org/package=swirl.

Leek, Jeff. 2015. “The Elements of Data Analytic Style.” J. Leek.—Amazon Digital Services, Inc.

Peng, Roger D. 2011. “Reproducible Research in Computational Science.” Science 334 (6060). American Association for the Advancement of Science: 1226–7.

Potvin, Catherine, Martin J Lechowicz, and Serge Tardif. 1990. “The Statistical Analysis of Ecophysiological Response Curves Obtained from Experiments Involving Repeated Measures.” Ecology 71 (4). Wiley Online Library: 1389–1400.

R Core Team. 2019. R: A Language and Environment for Statistical Computing. Vienna, Austria: R Foundation for Statistical Computing. https://www.R-project.org/.

Robinson, David, and Alex Hayes. 2018. Broom: Convert Statistical Analysis Objects into Tidy Tibbles. https://CRAN.R-project.org/package=broom.

Wickham, Hadley. 2016. Ggplot2: Elegant Graphics for Data Analysis. Springer-Verlag New York. http://ggplot2.org.

———. 2017. Tidyverse: Easily Install and Load the ’Tidyverse’. https://CRAN.R-project.org/package=tidyverse.

———. 2018a. Forcats: Tools for Working with Categorical Variables (Factors). https://CRAN.R-project.org/package=forcats.

———. 2018b. Stringr: Simple, Consistent Wrappers for Common String Operations. https://CRAN.R-project.org/package=stringr.

Wickham, Hadley, Romain François, Lionel Henry, and Kirill Müller. 2019. Dplyr: A Grammar of Data Manipulation. https://CRAN.R-project.org/package=dplyr.

Wickham, Hadley, and Lionel Henry. 2018. Tidyr: Easily Tidy Data with ’Spread()’ and ’Gather()’ Functions. https://CRAN.R-project.org/package=tidyr.

Wickham, Hadley, Jim Hester, and Romain Francois. 2017. Readr: Read Rectangular Text Data. https://CRAN.R-project.org/package=readr.

Wickham, Hadley, and others. 2014. “Tidy Data.” Journal of Statistical Software 59 (10). Foundation for Open Access Statistics: 1–23.

Xie, Yihui. 2015. Dynamic Documents with R and Knitr. 2nd ed. Boca Raton, Florida: Chapman; Hall/CRC. http://yihui.name/knitr/.