Visualizing the output of my 3D hair simulation #rstats package in rgl. Not as pretty as rayrender, but way faster to iterate with!
Adding some lateral movement into the mix:
Collisions + lateral movement...
Turn up gravity a few notches:

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More from @tylermorganwall

1 Jul
Reminder: there are hundreds of great, FREE learning resources for #rstats out there.

There's no need to sign up to take courses with a disgusting, ethically bankrupt company with sniveling, feckless leadership.
I'm completely self-taught in R. Here's a list of the FREE, OPEN materials I've used on my journey:

For data wrangling and visualization, nothing beats Hadley's "R for Data Science"

Link: r4ds.had.co.nz
Want to learn about data visualization? Check out @ClausWilke's "Fundamentals of Data Visualization." While not a book about R specifically, it's a great resource for learning what makes a good, interpretable viz. Plus, the book's code is available!

Link: serialmentor.com/dataviz/
Read 20 tweets
25 Jun 19
1/5 THE LONG WAIT IS OVER! I'm happy to announce the release of rayshader with 3D ggplots. Pull up your favorite ggplot viz and throw it into the new plot_gg() function, and watch rayshader transform it into 3D. #rstats #rayshader #dataviz

Blog post:
tylermw.com/3d-ggplots-wit…
2/5 You can install the package from the Github page:

remotes::install_github("tylermorganwall/rayshader")
github.com/tylermorganwal…

Since ggplot2 is an incredibly complex package, there will certainly be bugs--if something renders oddly, leave an issue on the Github page.
3/5 Part of the reason it took so long was I wanted to a dead simple interface for 3D plots. No complex interfaces or APIs to learn-it's one line of code to transform your plot into 3D.

Check out the documentation and examples at the pkgdown website:

rayshader.com
Read 7 tweets

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