R

R

An R package to simplify the analysis and prediction of Antimicrobial Resistance (AMR) and to work with antibiotic data by using evidence-based methods.

Materials and resources for the teaching unit "Morphometrics with R" (University of Bordeaux, Summer School, 2024). Website.

This project investigates the impact of Forest Protected Area (FPA) designations on deforestation in the South American Atlantic Forest region, which spans Argentina, Brazil, and Paraguay. Leveraging remote-sensed forest cover data from 2000 to 2020 and geo-referenced socio-economic variables, the analysis applies a pseudo-randomized design to evaluate how FPA status influences forest loss. Results indicate that FPA designation reduced the odds of deforestation by approximately 14%, with protected areas exhibiting significantly lower deforestation rates (~5%) compared to non-protected forests (~19%). This effect size surpasses previous estimates from other Latin American regions, underscoring the critical role of conservation policy in this biodiversity hotspot. The project provides a reproducible framework for assessing FPA effectiveness and sets the stage for future research on the socio-economic impacts of forest conservation.

A repository for the Workshop course on Data Analytics using spreadsheets and R for MIEMP.

CC by SA 4.0

Estimate of personal CO2 footprint based on records of vehicle mileage, household energy consumption and air travel emissions

Du blog en stock

Data and code for subcortical neuronal correlates of consciousness

EcoCommons R package for running complete species distribution modelling workflows. Utilised by the https://www.ecocommons.org.au/ platform.

Test handbook fork

Documents et site web à disposition des participants à la formation d'initiation à R. Website.

According to the Financial Times, car loans defaults are at a 15-year high [1]. Therefore, the primary objective of this project is to assess the loan repayment abilities of clients and understand which factors contribute most significantly to default loan.

The main business question is: How can the NBFC predict car loan defaults more accurately to maximize their Expected Gross Profit?

Sub-questions include:

What borrower characteristics are most indicative of a high risk of default? How should we move ahead with the predictions of our model

Tools to bridge CRAN (https://cran.r-project.org) and OBS (https://build.opensuse.org/)

An R package to facilitate the use of Murail et al.’s (1999) approach of sex estimation in past populations. doi:10.1002/oa.2957

R Tools for Text Matrices

Landing space for the predictive validity cleaning and reporting code

An up-to-date version of an "old classic" of mine.

Source repository for https://f-santos.gitlab.io/

Die Skripte ermöglichen ein automatisiertes Reporting über veröffentlichte Open Access-Artikel und verausgabte Mittel im Rahmen von Open Access-Publikationsfonds sowie Transformationsverträgen.

Webseite: https://leasat.gitlab.io/open-access-reporting/

Releases: https://gitlab.com/LeaSat/open-access-reporting/-/releases

Archivierte Versionen auf Zenodo: https://doi.org/10.5281/zenodo.6638788

Artikel in B.I.T. Online: https://www.b-i-t-online.de/heft/2022-04-fachbeitrag-satzinger.pdf

Lecture material for the Bootcamp of Modeling for Master Neuronal and Cognitive Systems, Université Côte d'Azur, 2022.