Summary

The goal of this course is to provide doctoral students with a comprehensive introduction to R programming for statistical analysis. Throughout the course, students will learn how to use R to perform various statistical techniques, including regression analysis, hypothesis testing, and data visualization. Students will also learn how to manipulate and clean data, and how to use R packages such as ggplot2 and tidyverse. In addition, to learning how to program in R, students will also be introduced to best practices in statistical analysis and gain a deeper understanding of how to conduct reproducible research. The course will provide hands-on experience with real databases and will culminate in a final project where students will apply their skills to research-oriented analysis. By the end of the course, students will have the necessary skills to use R for their own research projects, and will be equipped with the knowledge and confidence to continue exploring the various statistical techniques available in R. This course is intended to serve as a foundation for further study and will provide students with the skills necessary to continue exploring the full breadth of R's capabilities.

Description

Session schedule:

Session 1.
- R session.
- RStudio.
- Projects with R.
- Basic programming with R.
- Reproducible research with Quarto.

Session 2.
- Data types.
- Import and export data from Excel, txt, files.
- The basics of graph grammar: ggplot2.
- The basics of data manipulation: dplyr.

Sessions 3 and 4.
- Exercise resolution and tutorials.
 

Data of the activity

Organizes:

D. program in economics, business and law.

Sponsors:

International Doctoral School of the University of Almeria (EIDUAL)

Teaches:

Dr. Gema Fernández-Avilés (University of Castilla-La Mancha) and Dr. Raffaele Mattera (Universita di Roma).

Date:

May 24 and 25, 2023, from 16:00 to 20:00 hours in face-to-face session and May 29 and 30 in online session.

Directed to:

Students from all doctoral programs

Place:

IT classroom 3 on the first floor of the CITE III building

No. of places:

40, by order of request.

Certificate:

issued by the activity's organizer
Registration