Objectives

• Read, create, manipulate the main objects of R;
• Install libraries in R;
• Use the resources available in libraries;
• Use the main data manipulation functions;
• Use the main graphic resources of R;
• Use the main functionalities of statistical inference libraries;
• Program functions.

Syllabus

• Introduction to R
• Libraries
• Objects
• Data Manipulation
• R Functionalities

Bibliography

• Hadley Wickham and Garrett Grolemund. 2017. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data (1st. ed.). O’Reilly Media, Inc.
• Adler, J., R in a nutshell: A desktop quick reference, 1st Edition, O’Reilly Media, 2010.
• Gardener, Mark. Beginning R: The statistical programming language. John Wiley & Sons, 2012.
• Teetor, P., R cookbook: Proven recipes for data analysis, statistics, and graphics, O’Reilly Media, 2011.