Join the online Office Hour to

\- discuss how to get started contributing to R
\- get help/feedback on contributions you are working on
\- look at open bugs/work on translations together

R Contributors

Heather Turner

Ella Kaye

R Contributor Office Hour (EMEA/APAC)

Online event

R Contributor Office Hour (AMER)

***\-\-\-\-\-\- Welcome\, Manchester R Users\! \-\-\-\-\-\-***
Welcome!

As before, the event will be brought to you by **Datacove**. We are a Data and Analytics Consultancy Team based in Brighton, working across Customer Analytics, Shiny and Reporting, Marketing Analytics and Process Automation.

We will be supported by the generous team at **Better Placed**, at Colony, Ayton Street, Manchester. Hosted by **Abbie Brookes** and **Jeremy Horne** from **Datacove**.

***\-\-\-\-\-\- Talks \-\-\-\-\-\-***

Njoki Njuki, Data Analyst at University of Oxford, will be bringing us a talk on "R for Play: When Data Meets Creativity". We often think of R as a serious tool for data wrangling and analysis, but it can also be a playground for creativity. In this talk, I’ll share some of my own pet projects where R has sneaked into everyday life: from using tidytuesday to learn new tricks, to generating a personalised menu while moving to a new city, to designing pride flags for my home, even to building quick utilities I can run on my phone.

More information on talks coming soon. Please contact admin@datacove.co.uk if you'd like to speak.

***\-\-\-\-\-\- General Information \-\-\-\-\-\-***
Now, refreshments! Drinks and pizza will be served from 6pm. Talks will commence at 6:30pm/6:45pm and the event will conclude at 8:30pm.

The conversation will continue after the event at a local pub TBC – obviously!

If you didn't already have a million reasons to come, there will be (free!) R Merchandise kindly sent by Posit themselves.

Please feel free to register guests and spread the word. We look forward to seeing you all again!

Manchester R User Group

Abbie Brookes

Sophie Desouza

Jeremy Horne

Anjali 

Beth

Jason Kennedy

Waheed M Akram

Izzy

Gabe

Romeo S

Abdur-Rahman

Hannah Guest

Taimur

Anisha Swamy

Njoki Njuki Lucy

dylan3002smith

Chels

Paul Newnes

Nnabugwu Kelvin Chukwuebuka

 Murtaza

Manchester R Meetup! Nov 2025.

Colony Piccadilly

We are looking forward to the Karachi R User Meetup, sponsored by [Stat Devs](http://www.statdevs.com/) and[ R Consortium](https://www.r-consortium.org/)

**Agenda for the Talk:**
Join the Karachi R User Group for an engaging session on **“Building Predictive Models using R”** presented by **Dr. Zarmeen Nasim** (Assistant Professor, Aga Khan University).

This talk will guide you through the end-to-end process of predictive modelling — starting with data preparation, handling missing values, and feature engineering, all the way to building, evaluating, and interpreting machine learning models in R.

You will get hands-on exposure to popular modelling packages such as **tidymodels** and **caret**, while understanding how predictive modelling differs from descriptive and inferential techniques. Real-world examples will be shared from Dr. Zarmeen’s work in health data science, natural language processing, and social network analysis.

Whether you’re a student, data practitioner, or a researcher aiming to apply machine learning to real-world problems, this session will equip you with practical skills and best practices for developing robust predictive models in R.

Karachi R User Group

Uzair Aslam

Nadia Farooq

Archna Maharjan

Fazila

atiyaajmal29

TARAK PATEL

Building Predictive Models using R

**🎉 Event Announcement: UNILORIN R Users Group Meetup Series**
📌 **Event Theme:** Harnessing R Packages for Modern Artificial Intelligence
📅 **Date:** Saturday, November 15, 2025
⏰ **Time:** 5:00 PM WAT
📍 **Venue:** Zoom

The R ecosystem has rapidly expanded with innovative packages that bring modern Artificial Intelligence (AI) and Large Language Models (LLMs) directly into R workflows. These tools enable R users to interact seamlessly with AI models, integrate contextual insights from their R sessions, and even embed intelligent assistants within their development environments.

For instance, **ellmer** provides a unified interface to interact with LLMs such as OpenAI’s GPT and Anthropic’s Claude, supporting streaming, asynchronous operations, tool invocation, and structured outputs. Similarly, **gander** (developed by Simon Couch at Posit) introduces a Copilot-like assistant into RStudio or Positron that automatically understands your code and environment to offer relevant AI support.

**🔍 Audience Takeaways**
Participants will gain hands-on understanding and practical skills for integrating AI tools into R. Key learning points include:

* **LLM Integration in R:** Learn how to call and control large language models using **ellmer**, and how to supply them with session-aware context via tools like **btw** and **mcptools**.
* **AI-Assisted Coding Workflows:** Explore helpers such as **chores**, **gander**, **buggy**, and **ensure** to automate refactoring, documentation, test generation, and debugging through AI.
* **Data Analysis with AI:** Discover how to leverage LLMs for data-centric tasks such as model evaluation (**vitals**), retrieval-augmented generation (**ragnar**), and text processing on data frames (**mall**).
* **Exploring Specialised Tools:** Get exposed to advanced packages like **kuzco** (for LLM-based computer vision) and **shinychat** (for chatbot integration in Shiny apps), broadening your view of AI applications beyond text.
* **Practical Insights:** Understand when and why to use each package, with discussions around performance, cost, and best-fit scenarios.

**Expected Outcome**
By the end of this workshop, participants will have a clear understanding of how R’s emerging AI ecosystem can enhance their data science workflows. They will gain a mental map of the most impactful AI-enabled packages, empowering them to write smarter code, debug efficiently, generate insights faster, and build AI-driven R applications with confidence.

Unilorin R Users Group

Dr. Samuel Farohunbi

Dr. MK Garba

Ogundepo Ezekiel

kasim chambulilo

Stanislas Gandaho

chidiebereajugwo

Mujeeb Olukokun

Orville Dulay Hombrebueno

Haruna Aremu

Edem Koku Dzameshie

goajao

raifu.kazeem

adeboye9olawale

mmyusuf013

Daniel

Enoch

Ngozi Ugbeh 

Hope Adegoke

Harnessing R Packages for Modern Artificial Intelligence

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