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Details

TOPIC
This event will be lead to Dr Priya Silverstein (https://priyasilverstein.wixsite.com/website). Priya is a postdoctoral researcher at the University of Surrey and a Community Manager at the Journal Editors Discussion Interface (JEDI), who is passionate about open science and reproducibility! One essential component of good open science practice is Bayes Factor Analysis of null results. In this workshop, Priya will give a quick introduction to Bayes Factors, followed by a practical tutorial on how to compute them in R. Then, you’ll get a chance to try out the package on your own data!

PREPARATION
To join in with the hands-on part of this workshop, please bring some ready-to-analyse data and install the BayesFactor package [R code: install.packages("BayesFactor")].

ONLINE PROGRAMME
The event will be held online and will start at 17:00 (UK time). Please join us via this Zoom link:
https://zoom.us/j/98522632342?pwd=b1FYMW1GcmUvdVRtR3Z1QnU4NHlsUT09

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.

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