B2023 - R FOR ECONOMISTS

Conoscenze e abilità da conseguire

This course provides theory and tools for using R as a programming language in economic research, for the purposes of visualizing and analyzing data

Contenuti

Introduction to R and RStudio.

Arithmetics, mathematics and logic in R. Data structures in R.

Creation and management of variables and dataframes. Data importing.

Descriptive analysis of data and graphical representations.

Statistical inference for the mean of a gaussian population and for a proportion.

Comparison of means of two population.

Linear regression.

Testi/Bibliografia

The following books are freely available on the internet.

Wickham, Hadley, and Grolemund, Garrett. R for Data Science: Import, Tidy, Transform, Visualize, and Model Data. Stati Uniti, O'Reilly Media, 2016. https://r4ds.had.co.nz

Måns Thulin, Modern statistics with R, 2021. http://modernstatisticswithr.com/

Metodi didattici

Class lectures.

Each student will need to bring his/her own laptop after installing R and RStudio in this order:

install R from http://cran.r-project.org/

install RStudio from http://rstudio.org/download/desktop

Modalità di verifica e valutazione dell'apprendimento

The exam will be a practical test of data analysis in a computer laboratory.

The structure of the exam will be similar to the one of the examples given in Virtuale.

Grading policy insufficient <18; sufficient 18-23; good 24-27; very good 28-30; excellent 30 cum laude.

Strumenti a supporto della didattica

• material provided by the lecturer on Virtuale https://virtuale.unibo.it/
• statistical software R https://www.r-project.org/
• integrated development environment RStudio www.rstudio.com 

Students with disability or specific learning disabilities (DSA) are required to make their condition known to find the best possibile accomodation to their needs.

Orario di ricevimento

Consulta il sito web di Adelajda Matuka