useR2019 materials

This file contains links to materials from all tutorials, some talks and a few posters from useR 2019. For talks, the official site now has links to most slides and soon also links to videos, so you'd probably want to look there first :)

Thanks to everyone who contributed to this repo, especially Sarah Musy (@musy_n) who shared many links and @gregrs-uk who helped fix some of my mistakes! Please feel free to make a pull request, add an issue, or tweet @s_owla :)

Note: I started this repo because I found materials from rstudio::conf 2019 that @kwbroman and others collected so helpful!

Tutorials

Tuesday: Morning Tutorials and Afternoon Tutorials

Talks

Wednesday: Keynotes, Applications 1, Applications 2, Bioinformatics 1, Data handling, Education, Models 1, Movement & transport, Multivariate analysis, Reproducibility, Shiny 1, Shiny 2 and Social science, marketing & business

Thursday: Keynotes, Bioinformatics 2, Biostatistics & epidemiology, Biostatistics & epidemiology 1, Communities & conferences, Data mining, Forecasting, Models 2, Numerical methods, Open science, education & community, Operations & data products, Programming 1, Programming 2, Spatial & time series, Spatial data & maps, Text mining, Visualisation and Workflow & development

Friday: Keynotes, Big/high dimensional data, Bioinformatics & biostatistics, Biostatistics & epidemiology 2, Contribution & collaboration, Methods & applications, Model deployment, Models & methods, Performance, Shiny & web, Switching to R and Time series data

Posters

Tuesday 9th July

Morning Tutorials

• AM1: Get up to speed with Bayesian data analysis in R: slides and exercises
  Rasmus Bååth (@rabaath)

• AM2: Automatic and Explainable Machine Learning with H2O in R
  Jo-Fai Chow (@matlabulous)

• AM3: Visualising High-Dimensional Data
  Di Cook (@visnut)

• AM4: Extending R with C++
  Dirk Eddelbuettel (@eddelbuettel)

• AM5: Hacking RStudio: Advanced Use of your Favorite IDE
  Colin Fay (@_ColinFay)

• AM6: CVXR: An R Package for Disciplined Convex Optimization
  Anqi Fu (@anqi_fu) and Balasubramanian Narasimhan (@b_naras); joint work with S. Boyd

• AM7: Getting the most out of Git
  Colin Gillespie (@csgillespie) and Rhian Davies (@trianglegirl)

• AM8: Package Development
  Jim Hester (@jimhester_), Hadley Wickham (@hadleywickham) and Jenny Bryan (@JennyBryan)

• AM9: Generalized Nonlinear Models
  Heather Turner (@HeathrTurnr)

Afternoon Tutorials

• PM1: Spatial and Spatiotemporal Data Analysis in R
  Edzer Pebesma (@edzerpebesma) and Roger Bivand (@RogerBivand)

• PM2: Watch me: introduction to social media analytics
  Maria Prokofieva (@m45haP)

• PM3: Keeping an exotic pet in your home! Taming Python to live in RStudio because sometimes the best language is both!
  Emma Rand (@er13_r)

• PM4: bnlearn: Practical Bayesian Networks in R (clicking link downloads zip file!)
  Marco Scutari

• PM5: Transformation Models
  Torsten Hothorn

• PM6: Statistical Data Cleaning using R
  Mark Van Der Loo (@markvdloo) and Edwin De Jonge (@edwindjonge)

• PM7: Design For Humans! A Toolkit For Creating Intuitive Modeling Packages
  Davis Vaughan (@dvaughan32); joint work with M. Kuhn (@topepos)

• PM8: Docker for Data Science: R, ShinyProxy and more
  Tobias Verbeke (@OpenAnalytics)

• PM9: R/exams: A One-For-All Exams Generator
  Achim Zeileis (@AchimZeileis)

Wednesday 10th July

Keynotes

• R for better science in less time; video
  Julia Stewart Lowndes (@juliesquid)

• A missing value tour in R; video; related site
  Julie Josse (@JulieJosseStat)

Applications 1

• Application of WRSS in Water and Energy Analysis: An object oriented R package for large-scale water resources operation; package
  Rezgar Arabzadeh

• An R Package for the Distributed Hydrological Model GEOtop; package
  Emanuele Cordano (@ecor) and Giacomo Bertoldi (@Ecohydro)

• Big data analysis for power plant operational data for optimizing engineering design in R / Shiny (clicking link downloads zip file!)
  Friedrich-Claus Grueber

• Anomaly Detection in R; package
  Priyanga Dilini Talagala (@pridiltal)

• Collective and Point Anomaly Detection in R; package
  Daniel Grose

Applications 2

• Using AI and R to help improve the quality and health of your personalised food basket
  Peter Jaksons (@PeterJaksons)

• Variation of patient turnover on a 30-minutes basis for 3 years: analysis of routine data of a Swiss University Hospital
  Sarah N. Musy (@musy_n)

• Bridging agent-based modelling and R with nlrx: simulating pedestrian's long-term exposure to air pollution
  Hyesop Shin (@hyesop)

• Simulation of the physical movement for Machine Learning with R: Simulation of Robot gait Optimization Using GA (clicking link downloads pptx file!); related repo
  Hae-Yoon Jung

Bioinformatics 1

• Multi-data learning with M-ABC: extending your ABC's
  Marijke Van Moerbeke

• Fast and Optimal Peak Detection in Large Genomic Data via the PeakSegDisk Package; package
  Toby Hocking

• PEREpigenomics: a shiny app to visualize Roadmap Epigenomics data; app
  Guillaume Devailly (@G_Devailly)

• clustDRM: an R package and Shiny app for modeling high- throughput dose-response data; package
  Vahid Nassiri

Data handling

• Enhancements to data tidying; code; related post
  Hadley Wickham (@hadleywickham)

• n() cool #dplyr things
  Romain Francois (@romain_francois)

• You don't need Spark for this - larger-than-RAM data manipulation with disk.frame; package
  Zhuo Jia Dai (@evalparse)

• Data frames for grouped data: the gdata.frame package
  Yves Croissant

• git2rdata: storing dataframes in a plain text format suitable for version control; package
  Thierry Onkelinx

Education

• Mathematical Modeling with R: Embedding Computational Thinking into High School Math Classes in the United States
  Kenia Wiedemann (@keniatw)

• Teaching data science with puzzles
  Irene Steves (@i_steves)

• Teaching R and statistics to higher degree research students and industry professionals
  Alethea Rea

• ghclass: an R package for managing classes with GitHub; package
  Colin Rundel (@rundel)

• Data Science in a Box; site; feedback form
  Mine Cetinkaya-Rundel (@minebocek)

Models 1

• A Generalized Framework for Parametric Regression Splines
  Georges MonetteJohn Fox

• Regularized estimation of the nominal response model
  Michela Battauz

• merlin - mixed effects regression for linear and nonlinear models; package
  Alessandro Gasparini (@ellessenne)

• Modern likelihood-frequentist inference with the likelihoodAsy package; package
  Ruggero Bellio

• General-to-Specific (GETS) Modelling with User-Specified Estimators and Models; package
  Genaro Sucarrat

Movement & transport

• Navigating through the R packages for movement
  Rocio Joo (@rocio_joo)

• Classes, methods and data analysis for trajectories
  Mohammad Mehdi Moradi (@m2_moradi)

• Modelling spatial flows with R
  Christine Thomas-Agnan

• R for Transport Planning; stplanr package; Propensity to Cycle Tool; Geocomputation with R book
  Robin Lovelace (@robinlovelace)

Multivariate analysis

• ClustBlock: a package for clustering datasets; package
  Fabien Llobell

• ordinalClust: an R package for analyzing ordinal data; package
  Margot Selosse (@mversionpenny?)

• funHDDC, a R package to cluster univariate and multivariate functional data; package
  Amandine Schmutz

• Using the package simple features (sf) for sensitivity analysis
  Maikol Solís (@maikol_solis)

• Visualizing multivariate linear models in R
  Michael Friendly (@datavisFriendly)

Reproducibility

• Package flextable: a grammar to produce tabular reporting from R; package
  Quentin Fazilleau

• Connecting R/R Markdown and Microsoft Word using StatTag for Collaborative Reproducibility (clicking link downloads pptx file!)
  Leah Welty (@leahjwelty; @openstattag)

• The "Rmd first" method: when projects start with the documentation; related blog
  Sébastien Rochette (@StatnMap)

• R gnumaker: easy Makefile construction for enhancing reproducible research; package
  Peter Baker

Shiny 1

• Logging and Analyzing Events in Complex Shiny Apps (clicking link downloads zip file!); package
  Kamil Wais (@KamilWais)

• mwshiny: Connecting Shiny Across Multiple Windows; package
  Hannah De Los Santos

• Shiny app deployment and integration into a custom website gallery
  Riccardo Porreca and Roland Schmid from Mirai Solutions

• Automated Surveys and Reports for Expert Elicitation with Shiny
  Machteld Varewyck

Shiny 2

• Golem: A Framework for Building Robust & Production Ready Shiny Apps; package
  Vincent Guyader (@VincentGuyader)

• Art of the Feature Toggle: Patterns for maintaining and improving Shiny applications over time; code
  Kelly Obriant (@kellrstats)

• Data for all: Empowering teams with scalable Shiny applications
  Alexandra Turcan (@AleTurcan) and Ruan Pearce-Authers (@returnString)

• Best practices for building Shiny enterprise applications (clicking link downloads pptx file!)
  Filip Stachura (@filipstachura)

Social science, marketing & business

• Visualisation of open-ended interviews through qualitative coding and cognitive mapping; package
  Frédéric Vanwindekens

• choicetools: a package for conjoint analysis and best-worst surveys; package
  Chris Chapman

• Robust mediation analysis using the R package robmed; package
  Andreas Alfons (@AndreasAlfons)

• propro: Enhancing Discovered Process Models using Bayesian Inference and MCMC; package
  Gert Janssenswillen (@GJanssenswillen)

Thursday 11th July

Keynotes

• Shiny's Holy Grail: Interactivity with reproducibility; video; shinymeta package
  Joe Cheng (@jcheng)

• How Bioconductor advances science while contributing to the R language and community (clicking link downloads zip file!)
  Martin Morgan

Bioinformatics 2

• Interfacing R/Bioconductor with Hail, a Spark-based platform for genomics
  Michael Lawrence (@lawremi?)

• iSEE: interactive and reproducible exploration and visualization of genomics data
  Federico Marini (@FedeBioinfo)

• POMA: Shiny tool for targeted metabolomic data statistical analysis and visualization
  Pol Castellano-Escuder

Biostatistics & epidemiology

• A Shiny Webapp for nutritional reformulation of food products according to French front-of-pack “Nutri-Score” label.
  Romane Poinsot

• Using Shiny to track winter pressures in the UK National Health Service (NHS)
  Fiona Grimm

• antibioticR: An R package to identify resistant populations in environmental bacteria
  Thomas Petzoldt

• MR studies in R: how to use genetic information for identifying modifiable risk factors
  Daniela Mariosa

• Streamlining complex analyses of in-vivo data with INVIVOLDA shiny application
  Volha Tryputsen

• A shiny web application for disease mapping. Making easy the fit of spatio-temporal models.
  Aritz Adin

Biostatistics & epidemiology 1

• Reproducible data science to support outbreak responses: experience from the North Kivu Ebola outbreak
  Thibaut Jombart

• Advancing data analytics for field epidemiologists using R: the R4epis innovation project
  Zhian Kamvar

• micemd: a smart multiple imputation R package for missing multilevel data
  Vincent Audigier

• Facilitating external use with user-friendly interfaces: a health policy model case study
  Iryna Schlackow

• genogeographer - a tool for ancestry informative markers
  Torben Tvedebrink

Communities & conferences

• R for Data Science Online Community
  Dennis Irorere (@Denironyx) and Jon Harmon (@JonTheGeek)

• Insights from the recent R community development and growth in Latin America
  Laura Acion (@_lacion_)

• Building Active Community at Your Place Binod Jung Bogati ([@bjungbogati) (https://twitter.com/bjungbogati)

• AfricaR
  Shel Kariuki (@Shel_Kariuki) and Dennis Irorere (@Denironyx)

• The truth about satRdays (panel session)
  Noa Tamir (@noatamir), Angela Li (@CivivAngela), Gergely Daróczi (@daroczig), Riva Quiroga (@ivaquiroga), Colin Gillespie (@csgillespie) and Amy Tzu-Yu Chen (@amy17519)

Data mining

• Machine Learning with R: do it with a framework
  Eric Lecoutre (@EricLecoutre)

• Building and Benchmarking Automatic Machine Learning Systems
  Erin Ledell (@ledell)

• mlr3: A new modular framework for machine learning with R; package
  Michel Lang (@michellangts)

• mlr3pipelines: Machine Learning Pipelines as Graphs; package
  Bernd Bischl

Forecasting

• Flexible futures for fable functionality; package
  Mitchell O'hara-Wild (@mitchoharawild)

• Feature-based Time Series Forecasting
  Thiyanga Talagala

• Random forests for time series
  Benjamin GoehryHui Yan

• Smooth forecasting in R
  Ivan Svetunkov

• Forecast Combination in R
  Eran Raviv

Models 2

• Using Rcpp* packages for easy and fast Gibbs sampling MCMC from within R
  Ghislain VieilledentJeanne Clément

• A toolbox for fitting non-separable space-time log-Gaussian Cox models using R-INLA
  Elias Krainski

• Adaptive Bayesian SLOPE -- High-dimensional Model Selection with Missing Values
  Wei Jiang

• REndo: An R Package to Address Endogeneity Without External Instrumental Variables
  Raluca Gui

• Discovering the cause: Tools for structure learning in R
  Anne Helby Petersen

Numerical methods

• Analysing results from Monte Carlo simulation studies using the rsimsum package and the INTEREST shiny app; package; app
  Alessandro Gasparini (@ellessenne)

• Algorithmic Differentiation in R using the RcppEigenAD package
  Robert Crouchley

• Describing and solving differential equations with a new domain specific language, odin
  Richard Fitzjohn

Open science, education & community

• Open-access software for research: beyond data analysis
  Saras Windecker

• Teaching reproducible spatial analysis in R
  Angela Li

• Use aRt to learn algorithms, math, and R
  William Chase

• The evolution and importance of the R-Ladies São Paulo chapter in Brazil
  Beatriz Milz (@BeaMilz)

• Building Active Community at Your Place
  Binod Jung Bogati

• Scaling useR Communities with Engagement and Retention Models
  Eyitayo Alimi

Operations & data products

• How a non-profit uses R for its daily operations
  Francois Michonneau (@fmic_)

• rjenkins and rrundeck: Coordinating Continuous Integration and Delivery with R
  Daan Seynaeve

• Advanced Git Integrations for Automating the Delivery of Reproducible Data Products in R
  Kelly Obriant

• GitHub actions for R
  Verena HeldMax Held

Programming 1

• HTTP Requests For R Users and Package Developers
  Scott Chamberlain @sckottie

• R and security
  Colin Gillespie @csgillespie

• DRY out your workflow with the usethis package
  Jennifer Bryan @JennyBryan

• Reusing tidyverse code, the easy way
  Lionel Henry @_lionelhenry

• Simple Arrays
  Davis Vaughan @dvaughan32

Programming 2

• Sustainable Package Development
  Tomas Kalibera

• Typing R
  Elie Canonici Merle

• nCompiler: C++ code-generation from R code
  Perry De Valpine

• Mixed interactive debugging of R and native code with FastR and Vistual Studio Code
  Zbynek Slajchrt

Spatial & time series

• R in the Air
  Enrico SpinielliTamara Pejovic

• Measuring inequalities from space. Analysis of satellite raster images with R
  Piotr Wójcik

• SILand: an R package for estimating the spatial influence of landscape
  Florence Carpentier

• Spatio-temporal Analysis of Diabrotica Emergence
  Rodelyn Jaksons

• Navigating spatial data management and analysis in Sustainable Fisheries using a combined R-Python approach
  Annette Scheffer

• Dealing with the change of administrative divisions over time
  Kim Antunez (@robinlovelace)

• persephone, seasonal adjustment with an object-oriented wrapper for RJDmetra
  Gregor De Cillia

Spatial data & maps

• Strengthening of R in support of spatial data infrastructures management: geometa and ows4R packages
  Emmanuel Blondel

• Resample-smoothing of Voronoi intensity estimators
  Ege Rubak

• Thematic mapping with "cartography"
  Timothée Giraud

• Creating privacy protecting density maps: sdcSpatial; package
  Edwin De Jonge (@edwindjonge)

Text mining

• {polite} - web etiquette for R users
  Dmytro Perepolkin (@dmi3k)

• The R Package sentometrics to Compute, Aggregate and Predict with Textual Sentiment; package
  Samuel Borms

• BibliographeR : a set of tools to help your bibliographic research; package; app
  Cécile Sauder (@cecilesauder) and Jean Delmotte (@DrStagiaire)

• ggwordcloud: a word cloud geometry for ggplot2; package
  Erwan Le Pennec

• Die Nutella oder Das Nutella? Grammatical Gender Prediction of German Nouns
  Chung-Hong Chan (@chainsawriot)

• Implementing a Classification and Filtering App for Multilingual Facebook Comments – A Use Case Of Data For Good with R
  Johannes Müller (@jj_mllr) from CorrelAid (@CorrelAid)

• queryMed: Linking pharmacological and medical knowledge using semantic Web technologies; package
  Nolwenn Le Meur (@nlemeur)

Visualisation

• colorspace: A Toolbox for Manipulating and Assessing Color Palettes
  Achim Zeileis

• Vegawidget: Composing and Rendering Interactive Vega(-Lite) Charts
  Ian Lyttle (@ijlyttle)

• Visualising high-dimensional data: new developments of the tourr package using Shiny and plotly
  Ursula Laa

• xstatR: an Environment for Running R and XLISP-STAT in Docker Containers
  Jim Harner

Workflow & development

• Transitioning between various RMarkdown packages for workflow optimization in academic research; a graduate student's perspective.
  Brent Thorne

• An Approach to Project Workflow for Professional Biostatistical Services
  Paul Stevenson

• ropsec: a package for easing operations security for the R user
  Ildiko Czeller (@czeildi)

• compareWith - user-friendly diff viewing and VCS interaction; package
  Nicoletta Farabullini

• goodpractice - A Tool for Good Package Development; package
  Hannah Frick (@hfcfrick)

• rt - R Tools for the Command Line; package
  Jakob Richter (@jakob-r)

Friday 12th July

Keynotes

• Tools for Model-Based Clustering in R; package
  Bettina Grün

• 'AI for Good' in the R and Python ecosystems; video
  Julien Cornebise (@JCornebise)

Big/high dimensional data

• prVis: a Novel Method for Visual Dimension Reduction; package
  Norman Matloff (@matloff), Tiffany Jiang, Wenxuan Zhao and Robert Tucker

• PLS for Big Data: A Unified Parallel Algorithm for Regularized Group PLS; package
  Benoit Liquet

• multiDA and genDA: Discriminant analysis methods for large scale and complex datasets; genDA package; multiDA package
  Sarah Romanes (@sarah_romanes)

• compboost: Fast and Flexible Component-Wise Boosting Framework; package
  Daniel Schalk (@daniel_schalk)

• How to speed-up VSURF (Variable Selection Using Random Forests)?; package
  Robin Genuer (@rgenuer)

Bioinformatics & biostatistics

• rGSAn: a R package dedicated to the gene set analysis using semantic similarity measures.
  Aarón Ayllón-BenítezPatricia Thebault

• Pathway-VisualiseR: An Interactive Web Application for Visualising Gene Networks
  Goknur GinerAlexandra Garnham

• Compiling a global database of sapflow measurements with R: Workflow and tools for the SAPFLUXNET database
  Víctor Granda

• Bayesian sequential integration within a preclinical PK/PD modeling framework using rstan package: Lessons learned
  Fabiola La Gamba

• VICI: a Shiny app for accurate estimation of Vaccine Induced Cellular Immunogenicity with bivariate modeling
  Boris Hejblum

• Tools for 3D/4D interactive visualisation of cells and biological tissue
  Marion Louveaux

• Analysis of laboratory test requests in a university hospital: A Shiny App for association analysis as a demand management tool
  Deniz Topcu

Biostatistics & epidemiology 2

• Implementation and analysis design of an adaptive-outcome trial in R
  Alessio Crippa (@AlessioCrippa) and the ProBio Team (@ProBioTrial)

• Advances in dose-response analysis
  Christian RitzJens C. Streibig

• The next generation of the survival package
  Terry Therneau

• A flexible approach to time-to-event data analysis using case-base sampling
  Jesse Islam

• The R package mixmeta: an extended mixed-effects framework for meta-analysis
  Antonio Gasparrini

Contribution & collaboration

• How to win friends and write an open-source book
  Jakub Nowosad (@jakub_nowosad) and Robin Lovelace (@robinlovelace)

• Making sense of CRAN: Package and collaboration networks
  Ioannis Kosmidis

• RWsearch: a package for CRAN users and task view maintainers
  Patrice Kiener

• Translating datasets using "datalang": the development of "datos" package for the R4DS Spanish translation
  Riva Quiroga

• R Consortium Working Groups
  Joseph Rickert

Methods & applications

• fxtract - Feature Extraction from Grouped Data
  Quay Au

• Spatial Optimisation with OSRM and R
  Megan Beckett (@mbeckett_za)

• Anomaly detection in trivago
  Peter Brejcak

• Using R and the Tidyverse to Play Fantasy Baseball
  Angeline Protacio

• Optimizing children sleeping time using regression and machine learning
  Alicja Fras

Model deployment

• Machine Learning Infrastructure at Netflix
  Savin Goyal

• Deploying machine learning models at scale
  Angus Taylor

• Serverless Computing for R
  Christoph Bodner and Thomas Laber

• A DevOps process for deploying R to production
  David Smith (@revodavid)

• Authentication and authorization in plumber with the sealr package; package; demo
  Friedrike Preu (@ameisen_strasse)

Models & methods

• Adjusting reviewer scores for a fairer assessment via multi-faceted Rasch modelling
  Caterina Constantinescu

• Penalized regressions to study multivariate linear models : the VariSel package.
  Marie Perrot-Dockès

• Maximum spacing estimation, a new method in fitdistrplus
  Christophe Dutang

• rama: an R interface to the GAMA agent-based modeling platform
  Marc Choisy

• RcppGreedySetCover: Scalable Set Cover
  Kaeding Matthias

• The GPareto and GPGame packages for multi and many objective Bayesian optimization
  Mickaël Binois

Performance

• pak: a fresh approach to package installation; package
  Gábor Csárdi ([@GaborCsardi �](https://twitter.com/GaborCsardi �))

• Summary of developments in R's data.table package; package; wiki; benchmark
  Arun Srinivasan (@arun_sriniv)

• Real-time file import with the vroom package
  Jim Hester (@jimhester_)

• A Future for R: Simplified Parallel and Distributed Processing; package
  Henrik Bengtsson (@henrikbengtsson)

• FastRCluster: running FastR from GNU-R
  Stepan Sindelar

Shiny & web

• Native Chrome Automation using R; package
  Christophe Dervieux (@chrisderv) and Romain Lesur (@RLesur)

• Our journey with Shiny : some packages to enhance your applications
  Victor Perrier (@_pvictorr) and Fanny Meyer (@_mfaan)

• auth0: Secure Authentication in Shiny with Auth0; package
  Julio Trecenti (@jtrecenti)

• Packaging shiny applications
  Maxim Nazarov

• Photon: Building an electron-shiny app using a simple RStudio add in; photon package; electron quick start repo
  Abbas Rizvi from Columbus Collaboratory (@cbuscollab)

• Visualizing Huge Amounts of Fleet Data using Shiny and Leaflet; demo
  Andreas Wittmann (@wittmaan1)

Switching to R

• The transition from conventional tools in banking to R
  Balazi Peter

• R++, a new Graphical User Interface for R
  Christophe Genolini

• R in Pharma: A tailored approach to converting programmers to R in an industry resistant to change; package
  Kieran Martin

• Community Driven Data Science in Insurance
  Kevin Kuo (@kevinykuo)

• unconfUROS and one of its outputs vornoiTreemap; unconfUROS2019 repo
  Alexander Kowarik (@alexkowa)

• An R implementation of a model-based estimator – a UK case study
  Konstantinos Soulanis

• Using advanced R packages for the visualisation of clinical data in a cancer hospital setting
  Roxane Legaie (@RoxaneLegaie)

Time series data

• timeseriesdb - Manage, Process and Archive Time Series with R and PostgreSQL; package
  Matthias Bannert (@whatsgoodio)

• A feast of time series tools; package
  Rob Hyndman (@robjhyndman)

• tsbox: Class-Agnostic Time Series; package; cheatsheet
  Christoph Sax (@christoph_sax)

• RJDemetra: an R interface to JDemetra+ seasonal adjustment software; package
  Alain Quartier-La-Tente

• Experiences from dealing with missing values in sensor time series data; package
  Steffen Moritz

Posters

R package development using Gitlab CI/CD
Jean-Francois Rey (@jfrey_official)

Shiny-Powered e-Learning Platform to Teach Calcium and Phosphate Homeostasis
David Granjon (@divadnojnarg)

Using Fridges to Balance the Electricity Grid
Ellen Webborn (@EllenWebborn)

Quantifying the impact of tree choice in metagenomics differential abundance studies with R
Antoine Bichat (@_abichat)