A common challenge for scientist with poor or absent statistical training is represented by translating a statistical evaluation strategy or model into executable R code. This limitation can be addressed with AI tools like rtutor.ai. Using experimental data properly formatted in common and familiar files (.xlsx), these AI-based tools can transform plain English instructions into R code, automatically running the analysis.  

Furthermore, with some basic R skills (not necessarily required for this workshop), the generated code can be adapted or expanded to produce tables and figures for publication.  

The workshop primarily covers significance testing to assess treatment effects in one-way and multi-way designs, with or without repeated measures, using data coming from experiments in different sciences such as biology, physis, chemistry, psychology, sociology, anthropology, among others.

Objectifs

This workshop is aiming at equipping students at all levels with a skillset to perform statistical analysis of different datasets. At the end of the course, the participants are expected to: 

• Describe the types of data they can obtain from scientific experiments and how they can be used as input for different analyses. 

• Understand how the rtutor.ai tool works and what outcomes can be achieved with it. 

• Write specific prompts to analyze provided data. 

• Format their own data to be used as input for the tool. 

• Attempt to interpret the outcomes with the support of other AI tools (ChatGPT, Gemini, etc.). 

• Validate the established hypotheses according to the type of experiments where the data are coming from. 

Public-cible

Etudiant·e·s

Students (BA, MA, Doctorant at Unifr or HES-SO) from diverse disciplines who are willing to discover how AI tool can help them with running scientific experiments using statistics.  

Prérequis

• Having pre-installed R and R Studio (information about this will be given to enrolled students) 

• Having basic knowledge about the R programming language and its syntax

Responsables et intervenants

Intervenant(s)

YEPES GARCIA Jeferyd

Dates et lieux

Période	Lieu
24.10.2025 de 08:15 à 12:00	PER21 - B205