Raincloudplots Workshops

Repository about the upcoming 'raincloudplots' workshops which are part of our NWO 'Open Science' funded project: raincloudplots 2.0 by Rogier Kievit and Jordy van Langen.

You can find additional info about our funded project here.

Click here to download all the material

R package - ggrain

There is a walkthrough of the functionality along with a GitHub repo.

How to install from CRAN:

install.packages("ggrain")
library(ggrain)

How to install from GitHub:

if (!require(remotes)) {
	install.packages("remotes")
}
remotes::install_github('njudd/ggrain')

library(ggrain)

Paper

- Allen, M., Poggiali, D., Whitaker, K., Marshall, T. R., van Langen, J., & Kievit, R. A.
    Raincloud plots: a multi-platform tool for robust data visualization [version 2; peer review: 2 approved] 
    Wellcome Open Research 2021, 4:63. https://doi.org/10.12688/wellcomeopenres.15191.2

Our plan

With these workshops, we hope to educate & showcase 'raincloudplots' to the wider academic community. We will host three online workshops in which we will present step-by-step tutorials for experts, who are already familiar with 'raincloudplots', but also to those who find using code (unnecessarily) daunting. The free workshops will entail plenary walk-throughs and smaller break-out-rooms.

When? (all finished)

The workshops will take place on the following dates:

• 23-sept-2022 Local in-person workshop (no external sign up possible, Donders Institute only)

  • 10:00-12:00 CET
  • Language: R

• 30-sept-2022 (online, worldwide)

  • 14:00-16:00 CET
  • Language: R
  • Break-out rooms

• 11-nov-2022 (online, worldwide)

  • 14:00-16:00 CET
  • Languages: R/Python/MATLAB/JASP
  • Break-out rooms

• 17-feb-2023 (online, worldwide)

  • 14:00-16:00 CET
  • Languages: R/Python/MATLAB/JASP
  • Break-out rooms

• 31-mar-2023 (online, Oxford serotonin seminar only)

  • 14:00-16:00 CET
  • Languages: R/Python
  • Break-out rooms

Interested in attending?

Please read the following documentation about each workshop.

• Duration: Max. 2 hours

• Outline:

  • What are raincloudplots?
  • What are alternatives?
  • How to plot: from simple to advanced
  • JASP Statistics
  • Community input: what would you like to be improved/see?
  • raincloudplots: ShinyApp demo
  • Break-out rooms: (Python/Matlab/R/JASP)
    • Bring Your Own Data!

• Please indicate whether you want to learn about Python/Matlab/R/JASP, which is necessary information for the subsequent Zoom break-out rooms in which we will answer any questions you have, but most importantly, give you the opportunity to Bring Your Own Data (BYOD) to co-develop & fine-tune your amazing plots!

• There will be a maximum amount of 100 attendees for each workshop.

Sign-up (not possible anymore)

• You can register your attendance here: https://docs.google.com/forms/d/e/1FAIpQLSeTykveO8tJl2zP-7QgNOfM3vMTbkEe5RtqxMKbE5AiVDzb1A/viewform