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R/Medicine: Quarto for Reproducible Medical Manuscripts
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Tidy Finance and Accessing Financial Data
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Escape the Data Dungeon: Unlock Scalable R Analytics and ML
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From Vision to Action: The R Pfizer R Center of Excellence-led Journey to R Adoption
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High performance programming in R
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Visualizing Survival Data with the {ggsurvfit} R Package
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R/Insurance Series: R Performance culture
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R/Insurance Series: From programming in R to putting R into production
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R/Insurance Series: From Excel to Programming in R
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The Adoption of R in Japan's Pharma Industry Confirmation
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Cleaning Medical Data with R
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Automated Reporting with Quarto
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A Journey From Patchworks to Projects: A Ready-To-Use Project Template To Popularize Reproducible...
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Creating and Reasoning About Complex Clinical Trial Tables With rtables
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Level Up Your Plots: Using Colour, Text Hierarchy and Annotations to Create Compelling and More
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R/Adoption Series: R and Shiny in Regulatory Submissions
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{renv} For Reproducible Analyses
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Isoformic: Transcript Level RNA-seq Analysis for Human Data
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Tidy Transcriptomic Analysis of Single-cell and Bulk Data
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High-Dimensional Propensity Score in Residual Confounding Control in Pharmacoepidemiologic Studies
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An Introduction to the gt Package
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R validation Hub Community meeting wrapping up 2023 and welcoming 2024!
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GitHub Copilot in Rstudio, it's finally here!
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R Validation Hub Mini-Series Part II - Shiny for R Package Risk Assessment
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R Validation Hub Mini-Series Part I - Risk Metrics and Risk Score Package
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A Live Demonstration of the OHDSI PatientLevelPrediction R Package
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Machine Learning for Risk Prediction using Oblique Random Survival Forests
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Analyzing Clinical and Genomic Oncological Data with {genieBPC} and {gnomeR}
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Dengue Data Hub A Centralized Repository for Dengue related Data
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Using {tidymodels} to Detect Heart Murmurs
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Automated Data Quality Assessments for Observational Studies with dataquieR
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Seamless data driven reporting with {epoxy}
19:24
An Introduction to Projection Predictive Variable Selection
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Clinical Management Dashboard for the Hospital Clínico De Magallanes
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Streamlining and Automation Simplify Your App and Simplify Your Life
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Rtables: Leveraging Data Visualization Concepts To Declare And Create Clinical Trial Tables
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Midas: An R package for reproducible processing, quality control, and more!
26:41
All of Us Research Program: Opportunities for Clinicians Using R
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How Open Source and R Shiny are Transforming Pharma
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Streamlining Clinical Trial Analytics
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StoryboardR
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An Innovative Framework for Growth Reference Among Very Preterm Infants
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Project NeLL™ A Tool for Educating Nurse Scientists for the Age of Information
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Using Machine Learning in R To Create Machine Learning Models With Clinical Data
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Sample Size Calculation and Evaluation of Progression Criteria in Pilot and Feasibility Studies
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Blood Culture Contamination Rate Tracking and Reporting
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Building a Dataviz Design System for a Medical Research Project
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Clinical Trials Reporting Dashboard
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simulomicsr: A R package for generating reliable transcriptomics, and more!
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Developing an R Shiny Interactive Dashboard to Increase Interpretability of Data
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geneExpressionFromGEO: An R Package to Facilitate Data Reading from Gene Expression Omnibus (GEO)
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DataTrail and its Extensions – How You Can Build a Local Pipeline of Talent for Your Medical Center
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Expanding R Use in Applied Epidemiology and Public Health
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R/Adoption Series: Learnings and Reflection from R Validation Case Studies
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February R Submission WG Meeting
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Teal: An R Shiny Framework to Unlock the Power of Interactive Data Exploration
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Introducing the Software Engineering Working Group and {mmrm}
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January R Submission WG Meeting
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BugSigDB: Accelerating Human Microbiome Research
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R/Database: Using R at Scale on Database Data
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About
The R Consortium, Inc. is a group organized under an open source governance and foundation model to support the worldwide community of users, maintainers and developers of R software. Its members include leading institutions and companies dedicated to the use, development and growth of R.
The R language is an open source environment for statistical computing and graphics. The R community has enjoyed significant growth, with more than 2 million users worldwide. A broad range of organizations have adopted the R language as a data science platform, including biotech, finance, research and high technology industries. The R language is often integrated into third-party analysis, visualization and reporting applications, and runs on a wide variety of computing platforms.
The central mission of the R Consortium is to work with and provide support to the R Foundation and key organizations and groups developing, maintaining, distributing and using R software.
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