Awesome
Raincloudplots Workshops <img src="https://github.com/jorvlan/raincloudplots-workshops/blob/main/other/nwo_openscience.jpg" width="150" height="160" align="right"/>
<br> <br> <br> <br> <br> Repository about the upcoming 'raincloudplots' workshops which are part of our NWO 'Open Science' funded project: <a href="https://www.nwo.nl/en/projects/203001011">raincloudplots 2.0</a> by <a href="https://twitter.com/rogierK">Rogier Kievit</a> and <a href="https://twitter.com/jordyvanlangen">Jordy van Langen</a>. <img src="https://github.com/jorvlan/raincloudplots-workshops/blob/main/other/jordy_australia.jpg" width="150" height="150" align="right"/> <img src="https://github.com/jorvlan/raincloudplots-workshops/blob/main/other/photo_rogier.jpeg" width="150" height="150" align="right"/> <img src="https://github.com/jorvlan/raincloudplots-workshops/blob/main/other/njudd.jpg" width="150" height="150" align="right"/> <br> <br> <br> <br> <br> <br> <br> You can find additional info about our funded project <a href="https://www.nwo.nl/en/projects/203001011">here</a>.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
<br> <pre> - 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] <b>Wellcome Open Research</b> 2021, 4:63. <a href="https://doi.org/10.12688/wellcomeopenres.15191.2">https://doi.org/10.12688/wellcomeopenres.15191.2</a> </pre>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: <br>
-
<b> 23-sept-2022</b> Local in-person workshop (no external sign up possible, Donders Institute only)
- 10:00-12:00 CET
- Language: R
-
<b>30-sept-2022</b> (online, worldwide)
- 14:00-16:00 CET
- Language: R
- Break-out rooms
-
<b>11-nov-2022</b> (online, worldwide)
- 14:00-16:00 CET
- Languages: R/Python/MATLAB/JASP
- Break-out rooms
-
<b>17-feb-2023</b> (online, worldwide)
- 14:00-16:00 CET
- Languages: R/Python/MATLAB/JASP
- Break-out rooms
-
<b>31-mar-2023</b> (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!
-
<b>There will be a maximum amount of 100 attendees for each workshop.</b>
Sign-up (not possible anymore)
- You can register your attendance here: https://docs.google.com/forms/d/e/1FAIpQLSeTykveO8tJl2zP-7QgNOfM3vMTbkEe5RtqxMKbE5AiVDzb1A/viewform <br>