• Index
  • 1 eRum2020 Contributed Program
    • 1.1 Lightning talks
      • 1.1.1 An enriched disease risk assessment model based on historical blood donors records
      • 1.1.2 rdwd: R interface to German Weather Service data
      • 1.1.3 tv: Show Data Frames in the Browser
      • 1.1.4 Predicting the Euro 2020 results using tournament rank probabilities scores from the socceR package
      • 1.1.5 Differential Enriched Scan 2 (DEScan2): an R pipeline for epigenomic analysis.
      • 1.1.6 Ultra fast penalized regressions with R package {bigstatsr}
      • 1.1.7 Supporting Twitter analytics application with graph-databases and the aRangodb package
      • 1.1.8 Reproducible Data Visualization with CanvasXpress
      • 1.1.9 Design your own quantum simulator with R
      • 1.1.10 What are the potato eaters eating
      • 1.1.11 dm: working with relational data models in R
      • 1.1.12 Explaining black-box models with xspliner to make deliberate business decisions
      • 1.1.13 Using open-access data to derive genome composition of emerging viruses
      • 1.1.14 A principal component analysis based method to detect biomarker captation from vibrational spectra
      • 1.1.15 An innovative way to support your sales force
      • 1.1.16 ptmixed: an R package for flexible modelling of longitudinal overdispersed count data
      • 1.1.17 One-way non-normal ANOVA in reliability analysis using with doex
      • 1.1.18 Keeping on top of R in Real-Time, High-Stakes trading systems
      • 1.1.19 Towards more structured data quality assessment in the process mining field: the DaQAPO package
      • 1.1.20 Analyzing Preference Data with the BayesMallows Package
      • 1.1.21 Predicting Business Cycle Fluctuations Using Text Analytics
      • 1.1.22 Flexible deep learning via the JuliaConnectoR
      • 1.1.23 Time Series Missing Data Visualizations
      • 1.1.24 effectclass: an R package to interpret effects and visualise uncertainty
    • 1.2 Posters
      • 1.2.1 A flexible dashboard for monitoring platform trials
      • 1.2.2 PRDA package: Enhancing Statistical Inference via Prospective and Retrospective Design Analysis.
      • 1.2.3 Automate flexdashboard with GitHub
      • 1.2.4 EasyReporting: a Bioconductor package for Reproducible Research implementation
      • 1.2.5 NewWave: a scalable R package for the dimensionality reduction of single-cell RNA-seq
      • 1.2.6 orf: Ordered Random Forests
      • 1.2.7 Power Supply health status monitoring dashboard
      • 1.2.8 First-year ICT students dropout predicting with R models
      • 1.2.9 Benchmark Percentage Disjoint Data Splitting in Cross Validation for Assessing the Skill of Machine
      • 1.2.10 Integrating professional software engineering practices in medical research software
      • 1.2.11 Dealing with changing administrative boundaries: The case of Swiss municipalities
      • 1.2.12 badDEA: An R package for measuring firms’ efficiency adjusted by undesirable outputs
    • 1.3 Regular talks
      • 1.3.1 Design Patterns For Big Shiny Apps
      • 1.3.2 Using XGBoost, Plumber and Docker in production to power a new banking product
      • 1.3.3 Astronomical source detection and background separation: a Bayesian nonparametric approach
      • 1.3.4 Creating drag-and-drop shiny applications using sortable
      • 1.3.5 High dimensional sampling and volume computation
      • 1.3.6 Fake News: AI on the battle ground
      • 1.3.7 From consulting to open-source and back
      • 1.3.8 Deduplicating real estate ads using Naive Bayes record linkage
      • 1.3.9 {polite}: web etiquette for R users
      • 1.3.10 Hydrological Modelling and R
      • 1.3.11 GeneTonic: enjoy RNA-seq data analysis, responsibly
      • 1.3.12 A simple and flexible inactivity/sleep detection R package
      • 1.3.13 progressr: An Inclusive, Unifying API for Progress Updates
      • 1.3.14 varycoef: Modeling Spatially Varying Coefficients
      • 1.3.15 FastAI in R: preserving wildlife with computer vision
      • 1.3.16 The R Consortium 2020: adapting to rapid change and global crisis
      • 1.3.17 Powering Turing e-Atlas with R
      • 1.3.18 Using process mining principles to extract a collaboration graph from a version control system log
      • 1.3.19 Manifoldgstat: an R package for spatial statistics of manifold data
      • 1.3.20 Voronoi Linkage for Spatially Misaligned Data
      • 1.3.21 Be proud of your code! Tools and patterns for making production-ready, clean R code
      • 1.3.22 Going in the fast lane with R. How we use R within the biggest digital dealer program in EMEA.
      • 1.3.23 R alongside Airflow, Docker and Gitlab CI
      • 1.3.24 DaMiRseq 2.0: from high dimensional data to cost-effective reliable prediction models
      • 1.3.25 How to apply R in a hospital environment on standard available hospital-wide data
      • 1.3.26 Computer Algebra Systems in R
      • 1.3.27 Interpretable and accessible Deep Learning for omics data with R and friends
      • 1.3.28 Elevating shiny module with {tidymodules}
      • 1.3.29 APFr: Average Power Function and Bayes FDR for Robust Brain Networks Construction
      • 1.3.30 Flexible Meta-Analysis of Generalized Additive Models with metagam
      • 1.3.31 EPIMOD: A computational framework for studying epidemiological systems.
      • 1.3.32 CorrelAidX - Building R-focused Communities for Social Good on the Local Level
      • 1.3.33 Interactive visualization of complex texts
      • 1.3.34 CONNECTOR: a computational approach to study intratumor heterogeneity.
      • 1.3.35 gWQS: An R Package for Linear and Generalized Weighted Quantile Sum (WQS) Regression
      • 1.3.36 Transparent Journalism Through the Power of R
      • 1.3.37 What’s New in ShinyProxy
    • 1.4 Shiny demos
      • 1.4.1 Visualising and Modelling Bike Sharing Mobility usage in the city of Milan
      • 1.4.2 Media Shiny: Marketing Mix Models Builder
      • 1.4.3 ESPRES: A shiny web tool to support River Basin Management planning in European Watersheds
      • 1.4.4 tsviz: a data-scientist-friendly addin for RStudio
      • 1.4.5 Mobility scan
      • 1.4.6 Developing Shiny applications to facilitate precision agriculture workflows
      • 1.4.7 “GUInterp”: a Shiny GUI to support spatial interpolation
      • 1.4.8 A demonstration of ABACUS: Apps Based Activities for Communicating and Understanding Statistics
      • 1.4.9 Scoring the Implicit Association Test has never been easier: DscoreApp
      • 1.4.10 rTRhexNG: Hexagon sticker app for rTRNG

e-Rum2020 Program

e-Rum2020 Program

e-Rum2020 Organizing Committee

2020-09-11 20:19:36

Index

  • Book of abstracts for accepted contributions

  • Detailed program schedule booklet

  • Conference materials (collected in a GitHub repository)