The course introduces students tho the fundamentals of R language and of the data analysis environments for R. The laboratory is designed for students who have no, or limited, previous knowledge on R. During the laboratory the students will familiarise with the basic features of the R language, the R and RStudio working environment, and the basic operations for data management and manipulation.

Knowledge and understanding
Know the capabilities and the potential application domains of R
Know how to use R together with other data analysis software (Excel and Stata) for data import and export
Know the basic data objects managed by R and be able to manipulate them
Be able to perform basic math and logical operations on data in R, basic data manipulation activities, and basic descriptive statistics analysis
Know how to graphically represent data in R

Applying knowledge and understanding
Be able to recognise the application domain of the features of R
Starting from a dataset, be able to identify the possible analysis and data manipulation that can be performed on it

Making judgements
Be able to interpret the results of the main data manipulation and analysis activities
Be able to interpret the meaning of error messages provided by the R environment and be able to fix the problems autonomously

Communication skills
Be able to present data in the form of reports or presentations automatically generated by R scripts combining textual descriptive parts, data tables, charts, and results of data analysis

Learning skills
Be able to learn in an autonomous and self-managed way