About us
RLadies+ Vienna is a local chapter of RLadies+ Global, an organisation that promotes gender diversity in the R community worldwide, with a mission to achieve proportionate representation of genders currently underrepresented. Our priority is to provide a community space for anyone identifying as a minority gender who is interested in and/or working with R, and welcome all genders and identities to join us in achieving inclusive collaborations.
We welcome members of all R proficiency levels, from new aspiring R users to experienced R programmers interested in mentoring, networking and expert upskilling. Our community is designed to develop our members' R skills and knowledge through social, collaborative learning & sharing. Supporting minority identity access to STEM skills and careers, the Free Software Movement, and contributing to the global R community!
🔗 Our website: https://rladies-vienna.github.io
💡 Follow us on these social platforms for more updates:
- LinkedIn: https://www.linkedin.com/company/rladies-vienna/
- Mastodon: @RLadiesVienna
- Bluesky: [@rladies-vienna.github.io](https://bsky.app/profile/rladies-vienna.github.io)
The leadership, mentoring & teaching roles within this Community are held exclusively by minority genders, with learning participation opened to all genders. Anyone involved with RLadies+ Vienna is expected to fully respect each other, the mandate of this community, and the goodwill on which RLadies+ is founded. Please make sure you read and comply with our code of conduct and community guidelines.
Please note that by taking part in an RLadies+ 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.
As a founding principle, there is no cost or charge to participate in any of the RLadies+ communities around the world.
Upcoming events
2
Making Data Speak: Static and Interactive Plots in R
TU Wien Freihaus, Wiedner Hauptstraße 8-10, Vienna, ATJust like last year, we are welcoming the new academic year with a hands-on introduction to R, this time with a focus on data visualization. As we promote gender diversity and inclusion in the R community, all genders and skill levels in R are welcome!
ℹ️ Abstract
A hands-on introduction to data visualization in R for beginners. You’ll learn how to prepare your data for plotting, create clear and attractive graphics with the R package ggplot2, and add interactive features using the plotly package.💡 What to prepare
- Before the workshop, install R and RStudio on your laptop by following the 2-step guide at https://posit.co/download/rstudio-desktop/
- On the workshop day, bring your laptop to follow the workshop material closely and code along with us!
- (Optional) Bring a dataset you would like to work with
🗺️ Location
Seminar Room DB yellow 09 / Sem.R. DB gelb 09
(DB09E23)
9th floor, yellow area
TU Wien Freihaus
Wiedner Hauptstraße 8-10, 1040 Vienna (map)📍 How to find us
In the yellow area of TU Wien Freihaus, take the lift to the 9th floor. After exiting the lift, turn left and walk through the door. The seminar room will be on your left.
Use this floor plan to help locate the room.12 attendees
Bayesian Spatial Prediction with R-INLA
·HybridTU Wien Freihaus, Wiedner Hauptstraße 8-10, Vienna, ATWe are pleased to host Corinna Perchtold from French Geological Survey (BRGM) for this 90-minute hands-on tutorial with R-INLA. It is suitable for R users with no previous experience on INLA. We encourage you to participate in-person for the tutorial. You are also welcome join online via Zoom.
As we promote gender diversity and inclusion in the R community, all genders and skill levels in R are welcome!
Using real data, we will:
- Build a complete spatial model step by step
- Predict on a grid
- Generate diagnostic plots
- Check the predictions through cross-validation
- If time permits, introduce spatio-temporal and areal models
ℹ️ Abstract
Environmental data are often coming from measurement stations. The goal is to map the data over the whole domain of interest, with an honest statement of uncertainty. Bayesian geostatistical models do this well, but fitting them with MCMC (Markov chain Monte Carlo) is slow, because each iteration works with a dense covariance matrix. INLA (Integrated Nested Laplace Approximation) offers a fast deterministic alternative for latent Gaussian models. Combined with the SPDE (stochastic partial differential equations) approach, it represents a Matérn field on a triangle mesh with a sparse precision matrix.💡 What to prepare
- Install the R-INLA package by following the guide at https://www.r-inla.org/download/, and bring your laptop to the session.
🗺️ Location
In-person or Online via Zoom
Seminar Room DA green 02A / Sem.R. DA grün 02 A
(DA02E08)
2th floor, green area
TU Wien Freihaus
Wiedner Hauptstraße 8-10, 1040 Vienna (map)Zoom link will be made available to the participants before the event.
📍 How to find us
In the YELLOW area of TU Wien Freihaus, take the lift to the 2nd floor. After exiting the lift, walk straight pass the stairs within the yellow area and turn right to find the green area. Walk through the door and go straight to find the room.
Use this floor plan to help locate the room.8 attendees
Past events
40
