SheffieldR @[email protected]
@Sheffield_R_
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Group for #Rstats enthusiasts of all levels. Sponsored by @RConsortium and @RSE_Sheffield.
Sheffield, UK
Joined May 2014
Our colleague Grace talks about hosting exciting #R events with @Sheffield_R_ and @RLadiesSheff on the @SHFDigital podcast! Listen:
sheffield.digital
Grace Accad, co-organiser of the SheffieldR Users Group Meetup, tells us what to expect from the events they hold, the...
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🎉Neil Shephard shares his journey from genetic epidemiology to Research Software Engineering, reviving @Sheffield_R_, & building tools for thyroid cancer prediction! “I’m focused on creating a local group to foster connections.” Read more: https://t.co/dq8obIQ5q9
#RStats
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Robert is going to demonstrate tools used to build automated workflow (plumber, Markdown, GitHub actions) together with R Shiny interface allowing non-technical users to produce reports.
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Specifically looking at automation using an R based workflow to more rapidly assess latest developments.
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Next, Robert Smith talks about the transition of health economics evaluation from an Excel based ecosystem to a more reproducible framework for determining cost-effectiveness.
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The accompanying sicksickerPack R package demonstrates the use of generic functions which allow re-use of code with different models
github.com
R package version of the Sick Sicker model originally developed by the DARTH group - dark-peak-analytics/sicksickerPack
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Wael's paper provides a tutorial for developing R packages for health economics
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Wall describes setting up a project to match R package structure (e.g. functions, documentation, tests): familiar structure for users and reviewers and improved confidence in its functionality and potential for re-use.
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This evening's Health Economy special is starting with Wael Mohammed talking about R packages for health economics evaluation.
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Discussion is touching on how to use Shiny apps for storytelling, and how to promote reproducibility, for example through bookmarkable state in Shiny.
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Benefits of this type of Shiny app: transparent data and visualisations really useful for local authorities. Also potential for increasing reproducibility to be as useful as possible for different user groups.
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Check out the Shiny cheatsheet for a quick intro to Shiny apps
shiny.posit.co
Shiny is a package that makes it easy to create interactive web apps using R and Python.
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Dan is developing a second dashboard to explore UK regional economic data and he's talking us through the process of developing the dashboard from his first messy code through to a live Shiny dashboard.
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The tool has potential uses as a decision-making tool for different stakeholder groups and in other qualitative research projects.
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First up, Dan is talking about a social frontiers dashboard, an interactive tool for exploring frontiers based on census data
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Just kicking off our November Meetup with @DanOlner talking about using Shiny dashboards in his research
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Great selection of #rstudio shortcuts for efficient coding and #rmarkdown👇
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@RLadiesAMS / Netherlands are running a book club on Advanced R by @hadleywickham: https://t.co/JlBfdWe4sD
Always wanted to read *Advanced R*? We are joining forces with @RLadiesDenBosch @RLadiesAMS and @RladiesNijmegen to start a book club! Sign up to our first session at https://t.co/7yhMKhOnjh! And learn more about this book club here https://t.co/mk9uxode5o 🤩📚👩💻👩🏽💻👩🏻💻 #rladies
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@NHSrCommunity webinar series continues with a session on Shiny: https://t.co/L5iW4P2Kxq
Registration for our next NHS-R Community webinar is now open! Chris Beeley will host the webinar on Shiny on Wednesday 22nd April from 1-2pm. Sign up here! https://t.co/x3Q1D6Wbho
#nhsr #datascience #rstats
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