What we're about

This is a local chapter of R-Ladies Global ( https://www.rladies.org ), an organisation that promotes gender diversity in the R community worldwide. We meetup in person or virtually to learn about the R programming language, algorithms and advanced tools.

R-Ladies welcomes members of all R proficiency levels, whether you're a new or aspiring R user, or an experienced R programmer interested in mentoring, networking & expert upskilling. Our community is designed to develop our members' R skills & knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills & careers, the Free Software Movement, and contributing to the global R community!

We are pro-actively inclusive of queer, trans, and all minority identities, with additional sensitivity to intersectional identities. Our priority is to provide a safe community space for anyone identifying as a minority gender who is interested in working with R. As a founding principle, there is no cost or charge to participate in any of our R-Ladies communities around the world. You can access our presentations, R scripts, and Projects on our Github account ( https://github.com/rladies ) and follow us on twitter ( https://twitter.com/RLadiesGlobal ) to stay up to date about R-Ladies news!

Make sure you read and comply with our code of conduct ( https://github.com/rladies/starter-kit/wiki/Code-of-Conduct ) and community guidelines ( https://github.com/rladies/starter-kit/blob/master/RLadiesRulesAndGuideLinesENES.md ).

Please note that by taking part in an R-Ladies event you grant the community organizers full rights to use the images resulting from the photography/video filming/media, and any reproductions or adaptations of the images for publicity, fundraising or other purposes to help achieve the community’s aims. This might include (but is not limited to), the right to use them in their printed and online publicity, social media, press releases and funding applications. If you do not wish to be recorded in these media please inform a community organizer.

Upcoming events (2)

the Basics of Visualising Map Data in R using ggplot2

Link visible for attendees

SPEAKER
Dana Roemling (she/they) is a Ph.D. student in Applied Linguistics at the University of Birmingham. Their research interests are in forensic linguistics, language and law, sociolinguistics, and lavender linguistics. Their PhD focuses on dialect features in authorship profiling. Although they worked in IT before doing their PhD, they only really started programming during their PhD studies. Now they have grown to enjoy R.
You can find Dana on her personal web or on Twitter
https://danaroemling.com/
@danaroemling

Topic
This workshop is designed to provide you with the basics of visualising map data in R using ggplot2. The workshop will provide a brief introduction into mapping data, which is useful, for example, in regional dialectology or typology - or generally when your data is regionally distributed. We’ll focus on creating maps from scratch and mapping linguistic variables using R so that we can visualise and identify patterns in the data.

PREPARATION
The R packages we'll need are: maps, rworldmap, sf, tidyverse, dplyr
They can sometimes be tricky to install, so I suggest you try it beforehand.
The data and code we'll work with will be available here: https://github.com/danaroemling/mapping

ONLINE PROGRAMME
The workshop will be held online, starting on 5th April at 16:00 (UK time). Please join us via this Zoom link:
https://bham-ac-uk.zoom.us/j/89852185657?pwd=VWRXRFhkWTVqK0FjOG1ZVm83VzhXUT09

CODE OF CONDUCT
Please take a minute to read our code of conduct - we are committed to creating a safe and harassment-free environment:
https://github.com/rladies/.github/blob/master/CODE_OF_CONDUCT.md
R-Ladies events are always free and open to anyone who wants to participate as long as they follow the code of conduct. We are pro-actively inclusive of queer, trans, and all minority identities, with additional sensitivity to intersectional identities. Our priority is to provide a safe community space for anyone identifying as a minority gender who is interested in and/or working with R.

Introduction to Bayesian GLMs with brms

Link visible for attendees

SPEAKER
This online workshop will be led by Dr Bodo Winter (https://bodowinter.com/)(@BodoWinter). Bodo is a Senior Lecturer at the University of Birmingham, UK, and the author of the leading R book "Statistics for Linguists: An Introduction Using R". (I Highly recommend getting one🤩.). We are thrilled to have Bodo again!!🥳🥳👏👏

WORKSHOP OVERVIEW
For this workshop session, Bodo intends to walk people through the core insights of the generalized linear model (GLM) framework, with an emphasis on Poisson regression and logistic regression, two approaches that are incredibly useful when analyzing discrete data. We will work on two examples of experiments involving co-speech gestures and fit both types of GLMs.

PREPARATION
Knitted markdowns will be provided, but attendees who want to run the models themselves should install the packages “tidyverse,” “brms” and “tidybayes” packages. Unfortunately, brms installation can sometimes be tricky. Please attend even if you don’t get it running, as you’ll still be able to benefit!

ONLINE PROGRAMME
The workshop will be held online, starting on 11th May at 16:00 (UK time). Please join us via this Zoom link:
https://bham-ac-uk.zoom.us/j/87984238119?pwd=VDBLSGFsckJBbC9YT08xY05kazZMUT09

CODE OF CONDUCT
Please take a minute to read our code of conduct - we are committed to creating a safe and harassment-free environment:
https://github.com/rladies/.github/blob/master/CODE_OF_CONDUCT.md
R-Ladies events are always free and open to anyone who wants to participate as long as they follow the code of conduct. We are pro-actively inclusive of queer, trans, and all minority identities, with additional sensitivity to intersectional identities. Our priority is to provide a safe community space for anyone identifying as a minority gender who is interested in and/or working with R.

Past events (13)

an introduction to Bayesian statistics in R.

This event has passed

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