Skip to content
Links to materials from tutorials and talks from useR 2019
Branch: master
Clone or download
Latest commit 049c363 Jul 15, 2019
Permalink
Type Name Latest commit message Commit time
Failed to load latest commit information.
.gitignore add links Jul 12, 2019
Ellen_Webborn_poster.pdf add links for 4 sessions Jul 13, 2019
README.md Add poster Jul 15, 2019
generate_text.R add more links from S. Musy and credit her :) Jul 12, 2019
useR2019-materials.Rproj Adding link to slides - Vincent Guyader - {golem} Jul 12, 2019

README.md

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

Afternoon Tutorials


Wednesday 10th July

Keynotes


Applications 1


Applications 2


Bioinformatics 1


Data handling


Education


Models 1


Movement & transport


Multivariate analysis


Reproducibility


Shiny 1


Shiny 2


Social science, marketing & business


Thursday 11th July

Keynotes


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


Data mining

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

  • Building and Benchmarking Automatic Machine Learning Systems
    Erin Ledell

  • mlr3: A new modular framework for machine learning with R
    Michel Lang

  • mlr3pipelines: Machine Learning Pipelines as Graphs
    Bernd Bischl


Forecasting


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


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


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


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


Workflow & development


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


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

  • 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


Model deployment


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


Shiny & web


Switching to R


Time series data


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)

You can’t perform that action at this time.