Writing reproducible article in R

Hosting Higher Education Institution:
Ecological University of Bucharest
Institution website:
Monday, 4 November, 2019 to Friday, 8 November, 2019
Registration fee:
250 Euros
Fee reductions/waivers:
Maximum number of participants:
Deadline for applying:
Monday, 30 September, 2019
Accommodation not provided
Contact person details:
For more course information please contact Ciprian Alexandru, course leader, email: ciprian.alexandru@ueb.ro

For accommodation suggestions and other practical information, please contact Stefan Duduman, ERASMUS+ Coordinator: erasmus@ueb.ro

Please register at this link: https://forms.gle/BgP5nPSNpXTZ9aez6


The goal of this training week is to provide participants with basic knowledge about the principle of Reproducible Research applied to the published article in various journals.

Course Objectives:

* Introduction in reproducibility research

* Management of the datasets

* Create Data visualization with R environment

* Introducing in fundamentals of LaTeX and working with article templates

* R markdown, bookdown, LaTeX template integration

Expected Outcome:

After this course, participants will be able to write a reproducible article in R, using Markdown and LaTeX, including basic R code and use R packages to perform some of the data analysis and visualization carried out in their research activities, including the management of their datasets.


Target Group:

Teachers and researchers who want to publish articles in journals using the principles of reproducible research.

Course Duration:

5 Days, Monday –Friday

Upcoming Dates:

4th-8th November 2019

Course Leader:

Ciprian ALEXANDRU PhD., Associate Professor at the Ecological University of Bucharest and Vice-rector on Research activities. He was invited as Keynote speaker with the topic “Reproducible Research with R”, in 2015, to the International Conference on Computing, Mathematics and Statistics (iCMS2015) Malaysia.

As a trainer of National Institute of Statistics, he worked with various private clients, like telecom and banking industries, but also with public institutions, into training on the job system, starting from understanding their data and the business itself, identifying their needs for analyzing the data, to building models. Training activities held in National Centre for Training in Statistics from Bucharest: “Data Analysis in Statistics with R”; “The course Introduction to Statistics - Applications in R”; “R Statistical Software – Presenting Advantages of its use for Data Analysis”; “Statistical Analysis – from Theory to Practice”; “Concepts, Models and Techniques for Data Analysis” (http://r-project.ro/training.html). He worked as trainer for EUROSTAT and UNDP.

He participated in various research projects (including Eurostat), workshops, national and international conferences. His research activity was commissioned in value by publishing studies in journals in Romania and in Europe, as well as in international databases (ISI Thomson, DOAJ, EBSCO, RePEc. His research papers and articles are also published in prestigious peer reviewed publications.


Madalina TOCAN, PhD., associate professor.

Nicoleta CARAGEA, PhD., associate professor.

Course schedule per topics:

Day 1

  • Reproducible research
  • Essentials of R
  • Installation of R and RStudio

Day 2

  • Data: types and management
  • Data Import & Export

Day 3

  • Data visualization with R
  • LaTeX - fundamentals

Day 4

  • LaTeX - article templates (including Elsevier example)
  • R markdown, bookdown, LaTeX template integration

Day 5

  • Online platform: GitHub, GitLab, Overleaf, rPubs
  • Presentation of the elaborated project



You are invited to come with your laptop. The wireless Internet connection will be available into the training room.