REMOTE: R Lightening Talks by R-Ladies

!! Be mindful that only those participants that registered via Eventbrite (https://www.eventbrite.co.uk/e/remote-r-lightening-talks-by-r-ladies-tickets-379968444847) will receive the meetup Zoom link and will be able to join the event. Feel free to RVSP in the Meetup event page but also make sure you register on Eventbrite !!

Welcome to our first R-ladies London Meetup this year! We are back online with two exciting presentations!

Join us in our remote meetup to learn tips and new skills in R with these easily digestible 15-minute long lightning talks! Also, we're not going to give up on the tradition of after-talks socialising, which will take place in the breakout Zoom rooms. So make sure you have some snacks, drinks and some cool webcam background on (behind) you!

Meetup ProgRam
18:30 - Welcome to Rladies remote lightning talks!
18:40 - Hannah Frick: "Introducing the censored package"
19:00 - Emma Vestesson: "Making reproducible tables in R"
19:20-20:00 - Remote Socialising!

ABSTRACTS

Introducing the censored package - Hannah Frick
This talk introduces censored, a new tidymodels package for survival models. We will discuss how this package extends parsnip principles for censored regression and which models, engines, and prediction types are available.

Hannah Frick is a software engineer and statistician on the tidymodels team at RStudio. The tidymodels framework is a collection of packages for modeling and machine learning using tidyverse principles. She holds a PhD in statistics and has worked in data science consultancy as well as interdisciplinary research at University College London in cooperation with Team GB Hockey.

Making reproducible tables in R - Emma Vestesson
Have you ever painstakingly copied results from your R console into a word or excel document? Creating your tables directly in R will save you time and improve the reproducibility of your analysis. This talk will cover how to easily create basic summary statistics and regression tables and how save them in different formats.

Emma Vestesson is a senior data analyst at the Health Foundation. She is also a PhD student at UCL and is currently spending at year at the Alan Turing Institute.