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BIBLIOGRAFÍA BÁSICA


BIBLIOGRAFÍA COMPLEMENTARIA

4. Rizzo, M.L. (2019). Statistical computing with R. Second Edition. Chapman & Hall/CRC.

5. Grolemund, G., Wickham, H. (2016). R for Data Science: Import, Tidy, Transform, Visualize, and Model Data.

6. Lander, J. (2016). R for Everyone: Advanced Analytics and Graphics.

7. Vries, A., Meys, J. (2015) R for dumies.

8. Crawley, Michael J. (2014). Statistics : An Introduction Using R. John Wiley & Sons.

9. Everitt, B. (2014).  A handbook of statistical analyses using R. Chapman & Hall/CRC.

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