59:52

Contributing Translations to R - Gergely Daroczi

52:29

Automating Updates to Shiny Dashboards Deployed on Shinyserver - Clinton David

01:00:31

Deploy and Monitor ML Pipelines with Open Source and Free Applications - Rami Krispin

01:15:13

Missing Data Exploration, Imputation, and Evaluation - Hanne Oberman

01:13:50

Flexible Additive Models for Survival and Event-History Analysis - Andreas Bender & Johannes Piller

01:03:01

Causal Inference in R: The Whole Game - Malcolm Barrett

19:37

Oops All Solvers: Democratizing Access to Water Treatment Models Using R - Sierra Johnson

20:47

R Consortium's R-based Test Submission Package for FDA Evaluation - Joel Laxamana

18:18

Health Economic Assessment Tool for Walking and Cycling (HeatR) - Thomas Gotschi & Tomasz Szwski

14:24

Leveraging R-Ladies Paris Reach for Community Impact - Chaima Boughanmi

19:58

Community Detection for Extremely Large Networks - Aidan Lakshman

20:15

Transforming Data Into Information: Overcoming Challenges in Educational Data Analysis - N. da Silva

16:16

Detecting Abnormal Fish Behaviors with Machine Learning - Enrique Garcia-Ceja

19:00

Learning Together at the Data Science Learning Community - Jon Harmon

09:35

Data pipeline to analyse FODESAF's cash flow: key outputs in R Quarto - Roberto Delgado Castro

20:49

Stop Making Spaghetti (Code) - Nicola Rennie

20:02

Unlock Your Data Insights Faster: The 'CohortBuilder' Way. - Adam Forys & Krystian Igras

18:46

Rix: Reproducible Environments with Nix - Bruno Rodrigues

17:25

Dandelion Hub - a Central Repository for De-Central Actions for Ecosocial Justice Based on R/Shiny

18:17

Demystifying the HP filter with an easy-to-use R package - Alexandru Monahov

15:32

Back to the Drawing Board - How to Quickly Mock-up and Test Your Application User Interface Designs

17:17

Minimum Viable Good Practices for High Quality Statistical Software Packages - Daniel Sabanés Bové

12:55

One Container to Rule Them All - Magnus Mengelbier

12:20

Performance Testing and Comparative Benchmarking for Data.Table - Doris Afriyie Amoakohene

20:48

Connecting Shiny Apps to Chemotion-ELN - Konrad Krämer

19:24

Making Better Error Messages with Rlang and Cli - Emil Hvitfeldt

09:45

Enhancing the R Dev Guide: A GSoD 2022 Journey and Ongoing Progress

14:34

R4CR: R Education for Clinical Researchers via Quarto - JInhwan Kim

21:00

DeΒARMA: RShiny for Modeling Antimicrobial Resistance Rate Data with zeros or ones -Jevitha Lobo

09:23

Decomposition Based Deep Learning Model for Forecasting - Kapil Choudhary

16:45

MINT+: Web App with R Brains for SDTM Automation - Magdalena Krochmal, Adam Forys

31:08

Ask Hadley Anything

45:39

Building foundations for R’s future as an accessible and diverse collaboration

01:08:30

20 years of useR! with Kurt Hornik & Torsten Hothorn

34:30

Global and local perspectives on building R communities with Ekaterina Akimova & Shannon Pileggi

23:52

Building packages that are fantastic to use, trust worthy, and easy to grow with Maëlle Salmon

03:04:34

Larger than memory data workflows with Apache Arrow Tutorial

01:15:15

Data Crunching with R Thursday

05:18:43

Creación y publicación de un blog estadístico con el paquete {blogdown} Tutorial

59:24

Experimental Design Thursday

01:12:06

Ecology and Environment

03:33:28

Docker for R users Tutorial

04:48:48

Desarrollo de aplicaciones de Shiny a nivel comercial Tutorial

01:20:37

R in Teaching

03:37:13

La guía del viajero al aprendizaje automático responsable - Tutorial

01:09:30

Shiny Applications

04:04:17

Futureverse Parallelization in R Tutorial

03:47:01

Visualizaciones efectivas con {ggplot2} más allá de las opciones por defecto Tutorial

01:13:50

Building the R Community 2 Thursday

01:15:50

Package Development Thursday

01:02:47

Opening and Paula Moraga Keynote

03:48:25

Déployer+une+application+Shiny +Comment+faire+en+pratique+ Tutorial

03:30:31

Introduction to Git and GitHub Tutorial

01:20:08

Interfaces with C, C++, Rust, and V

03:15:37

Wprowadzenie do modelowania predykcyjnego Polski Tutorial

01:17:20

Synthetic Data and Text Analysis Thursday

01:14:01

Building the R Community 1

01:18:19

Parallel Computing Wednesday

01:28:55

Publishing and Reproducibility Wednesday

01:12:23

Big Data Management