What we're about

Vous utilisez R pour le travail et/ou le loisir ?
Vous êtes curieux, débutant ou expert en R ?
Vous êtes localisé sur Lille et sa périphérie, ou simplement de passage ?

Et plus important encore, vous avez envie d'échanger sur R et les nombreuses possibilités qu'offre ce logiciel et ses plus de 17 milles extensions ?

Si la réponse est "oui" à l'une de ces questions, rejoignez-nous sans plus tarder !

Site Internet : https://rlille.fr/
YouTube : http://youtube.rlille.fr/
Twitter : https://twitter.com/rlille_rug

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Do you use R for work and/or as a hobby?
Are you curious, a beginner or an R expert?
Are you located in Lille area, or just passing through?

And more importantly, you want to talk about R and the many possibilities that this software offers and its more than 17 thousand packages?

If the answer is "yes" to any of these questions, join us now!

Website: https://rlille.fr/ (In French)
YouTube: http://youtube.rlille.fr/
Twitter: https://twitter.com/rlille_rug

Upcoming events (5)

[Barcelona R User Group] Mini Seminar

Online event

This event is organised by Barcelona R User Group!
If you consider joining this event, please prefer to register on the following event https://www.meetup.com/BarcelonaR/events/277758529/

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Barcelona R User Group - https://www.barcelonar.org/ - is happy to announce the next online meetup event for 2021!

See the agenda below (times in Barcelona / CEST / UTC +2):

6:15 - 6:30 - Set up (systems check) and virtual hellos
6:30 - 7:30 - Workshop*: Introduction to Building Packages in R - by Nicolas Attalides
7:30 - 7:50 - "Creating A Shiny Dashboard As A Tool For Learning Git" - by Elizabeth Brown
7:50 - 8:10 - Introducing {brinton} A gEDA Tool - by Pere Millán-Martínez
8:10 - 8:30: Online socialising

*The workshop is designed to be hands-on so if you would like to participate then please join us with your laptop and be ready to code!

Note: You need to install...

Windows: R Tools (depending on your R version)
Mac OS X: Command Line Tools for XCode
See helpful info here: https://support.rstudio.com/hc/en-us/articles/200486498-Package-Development-Prerequisites
n. We will also get into using R with Docker.

[R-Ladies Tunis] Omics Integration and Supervised Machine Learning - PART1 (&2)

This event is organised by R-Ladies Tunis!
If you consider joining this event, please prefer to register on the following events:
- Part 1 (Saturday, the 8th of May at 18:00 CEST/UTC+2)
https://www.meetup.com/rladies-tunis/events/277769374/
- Part 2 (Saturday, the 22nd of May at 18:00 CEST/UTC+2)
https://www.meetup.com/rladies-tunis/events/277769444/

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We are delighted to get back to the R4Bioinfo series that we've launched in September 2020. We will be organizing a serie of two workshops about Omics integration and Supervised Machine Learning.

Date/Time: Saturday, May 8th, 2021 from 5 PM to 7:15 PM (GMT+1)
Place: ZOOM

▶️ Invited trainer: Dr. Nickolay Oskolkov

▶️ About Dr. Nickolay Oskolkov
Dr. Nikolay Oskolkov is an analyst doing bioinformatics, data science and statistical analysis. He has a background in theoretical physics, PhD 2007, and he moved to Life Sciences in 2012 where he was working in Computational Biology and Biomedicine. He is currently employed as a bioinformatician within the SciLifeLab bioinformatics platform NBIS. His range of interest includes genomics, transcriptomics, microbiome, ancient DNA, single cell, machine learning, image analysis and evolutionary science.

▶️ About the workshop:
This workshop will divided in two parts. During these two parts you'll learn about:

- Peculiarities of OMICs Integration
- Definition and evaluation of OMICs Integration
- Protocol of OMICs Integration
- OMICs Integration in Single Cell
- Selection of the Method of Integration
- Machine Learning view of Omics integration
- Feature Selection and Supervised Omics integration
- Live demo : Practical example of Feature Selection and Supervised OMICs Integration

By the end of this serie, you will be able to integrate Omics datasets and apply feature selection and supervised machine learning to it.

In order to attend the event, please fill out this form 👉 https://tinyurl.com/5ymyradc

We will send you the ZOOM link a few hours before the training session. Please check out your email later.

We look forward to welcoming you!

[useR! Oslo] Build Interactive {shiny} Apps to Share Your Work With Anyone!

This event is organised by useR! Oslo!
If you consider joining this event, please prefer to register on the following event https://www.meetup.com/Oslo-useR-Group/events/277702734/

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[Abstract]
{shiny} is an R package that makes it easy to build interactive web apps straight from R. This is a powerful way to share your work in R with people without any prior knowledge. We will show how you can create and put such applications into production within a modern cloud infrastructure such as Azure. In addition we will demonstrate some different use cases within the field of biogeochemistry.

[Bios]
Andreas Botnen Smebye is a senior environmental advisor and scientific programmer at the Norwegian Geotechnical Institute (ngi.no). He is part of the team behind the innovation center earthresQue (https://www.nmbu.no/en/services/centers/earthresque/about) to find new innovative mapping and treatment methods for polluted sites (https://www.ngi.no/Prosjekter/Nye-verktoey-og-metoder-for-risikovurdering-og-tiltak-ved-skytebaner-med-Forsvarsbygg) to enhance sustainable solutions in a circular economy. He is particular interested in how to use digitalization as a tool to implement findings and methodology from R&D into new practice.

Christian Wilhelm Mohr is a researcher at the Department of Forest and Climate, NIBIO (www.nibio.no). His expertise is in the field of biochemistry and climate change, and works primarily with topics related to greenhouse gass emissions from Land Use, Land-Use Change and Forestry (LULUCF). He is a coordinator for the accounting and reporting of the Norwegian national inventory of greenhouse gasses for the LULUCF-sector (Land Use, Land-Use Change and Forestry) under the United Nations Framework Convention on Climate Change (UNFCCC) and the Kyoto Protocol.

Reproducible Computation at Scale in R with {targets}

Online event

[Abstract]
The {targets} (https://docs.ropensci.org/targets/) R package enhances the reproducibility, scale, and maintainability of data science projects in computationally intense fields such as machine learning, Bayesian data analysis, and statistical genomics. {targets} resolves the dependency structure of the analysis pipeline, skips tasks that are already up to date, executes the rest with optional distributed computing, and manages data storage. {stantargets} (https://docs.ropensci.org/stantargets/) and similar packages extend {targets} to simplify pipeline construction for specialized use cases such as the validation of Bayesian models.

[Bio]
Will Landau (https://wlandau.github.io/) works at Eli Lilly and Company (https://www.lilly.com/) where he develops methods and tools for clinical statisticians, and he is the creator and maintainer of the targets and drake R packages. Will earned his PhD in Statistics at Iowa State University in 2016, where his dissertation research applied Bayesian methods, hierarchical models, and GPU computing to the analysis of RNA-seq data.

[About]
This event (in English) is organised by the R Lille user group (Lille, France).

Past events (12)

[Aalborg RUG] Tips for Reproducible R

Online event

Photos (6)

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