SheffieldR - Sheffield R Users Group

4.8•48 ratings

Sheffield, GB

581 members · Public group

What we’re about

R is an open source data analysis, data visualization and statistical programming language. Use of R is rising exponentially in the business and academic arenas and it is used by companies such as Google, Pfizer, Merck, Bank of America and Shell.

SheffieldR is an opportunity for anyone with an interest in R to meet up, listen to a couple of interesting presentations on R implementations and then network with each other. The events are free and anyone, at whatever level of R skill, is welcome to attend.

We rely on members of the Sheffield R community to speak at our meetups and try to offer a mix of "beginners" and "expert" level talks. If you'd like to share a 15 minute informal slide-talk on a topic of your choosing (broadly 'something cool I've done related to R that others would benefit from hearing about') then we'd love to hear from you!

Let us know by filling in our speaker sign up form: https://forms.gle/24F7E31nQU7CqaV36.

w: sheffieldr.github.io

t: @Sheffield_R_

Our website has a list of speakers and materials from previous meetups and you can find more slides from previous meetups on slideshare.

Here's some useful resources for making presentation in R:

Upcoming events

See all

Wed, Nov 19 · 5:30 PM GMT
•
Hybrid
SheffieldR User Group Meeting
Location not specified yet
Most of the year has passed without much activity but we are pleased to announce that Dr Robert Smith and Oliver Dolin have volunteered to talk about their development of a web platform for healthcare professionals.

For full details please see the SheffieldR Website.

Abstract

Access to healthcare-professional administered medicines in England varies significantly across the country, resulting in inequitable health outcomes. Our interactive web platform identifies optimal new care site locations. It uses a greedy search method outlined in Schneider & Smith (2020) to rank candidate sites that maximize a range of user-selected objective functions such as: travel distance, travel time, adherence or health outcomes. Users can customize input parameters like travel cost and CO2/km, and estimate the impact of adding new sites on a range of outcomes including patient travel time, adherence, health outcomes, CO2 emissions, and out-of-pocket costs. The platform uses data on the socioeconomic and demographic structure of each Lower Super Output Area, a small community of around 1500 individuals, in England. It combines this with information on the prevalence of disease, and the relationship between geographic access and outcomes. It allows users to assess the impact of creating one or more of the sites identified on national and regional outcomes, and to assess the impact on inequalities. The platform is in beta stage, and we are interested in feedback from the research community on how to build upon this work going forward.
11 attendees