Joris Chau

Sharing a multi-scale Turing pattern generated with R and Rcpp (jchau.org/2022/03/20/mes…) inspired by @jonathanmccabeX 🦠 #rstats #rcpp #rtistry

@gregchickphd This plot highlights the UMass campuses available in the data:

@joris_chau How about UMass?

#TidyTuesday week 35 | Pell grants, data from US department of education. 🔗code: github.com/JorisChau/tidy… #RStats #ggplot2 #dataviz

#TidyTuesday week 36 | LEGO sets, a 2D histogram turned 3D with #rayshader 🪄 🔗code: github.com/JorisChau/tidy… #RStats #ggplot2

A new {rrapply} 📦-version is available on #cran: a minimal (dependency-free) revisit of rapply() for efficient recursion through nested lists and expressions in #rstats. 🔗: jorischau.github.io/rrapply/

@MajeedOlaide @OpenAnalytics Hi Majeed, here is a gist containing the relevant R-code to reproduce the graph (in ggplot2): gist.github.com/JorisChau/55a9…

@OpenAnalytics @joris_chau Hi, thanks for this post. I'm wondering if you could share the rcode for plotting the graph of BoxBOD with the confidence intervals. I've checked the GitHub pages for the gslnls package but to no avail. Thanks

For your nonlinear pleasure: oa.eu/2IKvag #rstats #opensource #statistics #datascience

This week's #TidyTuesday on #Eurovision: Country biases in televoting ☎️ Nordic countries consistently award extra points to their closest neighbors. Balkan countries are generally not big fans of the Nordics... code: github.com/JorisChau/tidy… #RStats #ggplot2 #dataviz

@WillBall12 Interesting! For nose-dives one could check for large negative first-order differences/derivatives. For e.g. double peaks I guess you could remove the global/mean trends and then check for specific local artifact structures in the residual time series

For this week's #TidyTuesday: Highlighting several baby names with short peak popularity throughout US history. My personal favorites: 🪥 1983 - Marquita (nancy.cc/2012/09/18/the…) 🧜‍♀️1991 - Ariel Code link: github.com/JorisChau/tidy… #RStats #ggplot2 #dataviz

@richard_vogg Thanks! I took second-order differences of all time series and then looked for the names with a maximum absolute value that was very large relative to the standard deviation (of the second-order differences).

@joris_chau Great work 👏🏻 Love the annotations. I am curious how you found the names with a peak.

Some more interesting looking 2D Turing patterns/reaction-diffusion systems generated with #RStats and #Rcpp. (4/4) #generative #rtistry

Some more interesting looking 2D Turing patterns/reaction-diffusion systems generated with #RStats and #Rcpp. (3/4) #generative #rtistry

Some more interesting looking 2D Turing patterns/reaction-diffusion systems generated with #RStats and #Rcpp. (2/4) #generative #rtistry

Some more interesting looking 2D Turing patterns/reaction-diffusion systems generated with #RStats and #Rcpp. (1/4) #generative #rtistry

Using R and Rcpp(Armadillo) to efficiently generate interesting looking multi-scale Turing patterns: {jchau.org/2022/03/20/mes…} #rstats #rcpp