Chapter 12 Referencias

De Brouwer, Philippe JS. 2020. The Big r-Book: From Data Science to Learning Machines and Big Data. John Wiley & Sons.

De Vries, Andrie, and Joris Meys. 2015. R for Dummies. John Wiley & Sons.

Douglas, Alex, Deon Roos, Francesca Mancini, Ana Couto, and David Lusseau. 2022. “An Introduction to r.” URL Https://Intro2r. Com.

Duchemin, Wandrille, Valeria Di Cola, Florence Mehl, Flavia Marzetta, Diana Marek, and Thuong Van Du Tran. 2022. “First steps with R in Life Sciences - course material.” Zenodo. https://doi.org/10.5281/zenodo.6091478.

Gahlawat, Anuj, Rajkumar. R, Tanmaykumar Varma, Pradnya Kamble, Aritra Banerjee, Hardeep Sandhu, and Prabha Garg. 2023. “Bioinformatics: Theory and Applications.” In The Quintessence of Basic and Clinical Research and Scientific Publishing, edited by Gowraganahalli Jagadeesh, Pitchai Balakumar, and Fortunato Senatore, 539–55. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-99-1284-1_33.

Hastie, Trevor, Robert Tibshirani, Jerome H Friedman, and Jerome H Friedman. 2009. The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Vol. 2. Springer.

Healy, Kieran. 2018. Data Visualization: A Practical Introduction. Princeton University Press.

Irizarry, R. 2021. “Introducción a La Ciencia de Datos-análisis de Datos y Algoritmos de Predicción Con r.” CRC Press.

James, Gareth, Daniela Witten, Trevor Hastie, Robert Tibshirani, et al. 2013. An Introduction to Statistical Learning. Vol. 112. Springer.

Long, James D, and Paul Teetor. 2019. R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics. O’Reilly Media.

Maindonald, John Hilary. 2008. Using r Data Analysis and Graphics: Introduction, Code and Commentary. Australian National University. Centre for Mathematics; Its Applications.

Moscarelli, Marco. 2023. “How ‘r’ Works.” In Biostatistics with ’r’: A Guide for Medical Doctors, 9–21. Cham: Springer International Publishing. https://doi.org/10.1007/978-3-031-33073-5_2.

Navarro, Danielle. 2015. “Learning Statistics with r: A Tutorial for Psychology Students and Other Beginners (Version 0.6).” University of New South Wales.

Pasrija, Ritu. 2022. “Bioinformatics Overviews.” In Information Retrieval in Bioinformatics: A Practical Approach, edited by Soumi Dutta and Saikat Gochhait, 1–18. Singapore: Springer Nature Singapore. https://doi.org/10.1007/978-981-19-6506-7_1.

Peng, Roger D. 2016. R Programming for Data Science. Leanpub Victoria, BC, Canada.

“R Project.” n.d. https://www.r-project.org/help.html.

Rein, Robert. 2024. “An Introduction to the Programming Language r for Beginners.” In Computer Science in Sport: Modeling, Simulation, Data Analysis and Visualization of Sports-Related Data, edited by Daniel Memmert, 109–23. Berlin, Heidelberg: Springer Berlin Heidelberg. https://doi.org/10.1007/978-3-662-68313-2_14.

Rossiter, DG. 2012. “Introduction to the r Project for Statistical Computing for Use at ITC.” International Institute for Geo-Information Science & Earth Observation (ITC), Enschede (NL) 3: 3–6.

Wickham, Hadley, and Jennifer Bryan. 2023. R Packages. " O’Reilly Media, Inc.".

Wilkinson, Leland. 2012. The Grammar of Graphics. Springer.

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

Zimmerman, Naupaka, Greg Wilson, Raniere Silva, Scott Ritchie, François Michonneau, Jeffrey Oliver, Harriet Dashnow, et al. 2019. “swcarpentry/r-novice-gapminder: Software Carpentry: R for Reproducible Scientific Analysis, June 2019.” Zenodo. https://doi.org/10.5281/zenodo.3265164.