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#RandomWalker

Steven P. Sanderson II, MPHspsanderson.com@bsky.brid.gy
2025-09-01

Here is a simple script that will create a discrete walk of 100, 1000, 10000, and 100000 steps, I thought it was neat to see the difference in the 2D output. For this I used the RandomWalker package developed by myself and Antti Rask 🦜 #R #RStats #RProgramming #ggplot2 #RandomWalker #Random #tidy

Here is a simple script that will create a discrete walk of 100, 1000, 10000, and 100000 steps, I thought it was neat to see the difference in the 2D output. For this I used the RandomWalker package developed by myself and Antti Rask 🦜 #R #RStats #RProgramming #ggplot2 #RandomWalker #Random #tidydataHere is a simple script that will create a discrete walk of 100, 1000, 10000, and 100000 steps, I thought it was neat to see the difference in the 2D output. For this I used the RandomWalker package developed by myself and Antti Rask 🦜 #R #RStats #RProgramming #ggplot2 #RandomWalker #Random #tidydata
Steven P. Sanderson II, MPHspsanderson.com@bsky.brid.gy
2025-08-20

Yes my friend Antti and I just released #RandomWalker 1.0.0 and yes I saw something yesterday that already has me working on 1.1.0 Notice the subtitle of the plot :)

Yes my friend Antti and I just released #RandomWalker 1.0.0 and yes I saw something yesterday that already has me working on 1.1.0
Dr. Utransportationtalk@fosstodon.org
2025-07-21

@spsanderson This is awesome! I'm working on a tutorial on drift diffusion models and #RandomWalker is going to be very useful for that project.

Steven P. Sanderson II, MPHspsanderson.com@bsky.brid.gy
2025-07-10

Want to visualize a 2D Random Walk of the Wilcox distribution in #R then the RandomWalker package developed by myself and Antti Rask can do that. #R #RStats #RandomWalker #RandomWalk #Visualization #ggplot2 #TidyData

library(RandomWalker) library(ggplot2) random_wilcox_walk(.m = 1, .k = 2, .dimensions = 2) |> ggplot(aes(x = x, y = y)) + geom_path(aes(color = step_number)) + scale_color_viridis_c(option = "plasma") + labs( title = "2D Random Wilcox Walk", x = "X Position", y = "Y Position" ) + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() )library(RandomWalker) library(ggplot2) random_wilcox_walk(.m = 1, .k = 2, .dimensions = 2) |> ggplot(aes(x = x, y = y)) + geom_path(aes(color = step_number)) + scale_color_viridis_c(option = "plasma") + labs( title = "2D Random Wilcox Walk", x = "X Position", y = "Y Position" ) + theme_minimal() + theme(legend.position = "none") + theme( axis.text.x = element_blank(), axis.ticks.y = element_blank(), axis.text.y = element_blank(), axis.ticks.x = element_blank() )
Happy Coding BotHappyCodingBot@botsin.space
2024-10-08

Random Walkers

happycoding.io/tutorials/proce

#tutorial #processing #arrays #example #animation #randomwalker #generativeart #random

Happy Coding BotHappyCodingBot@botsin.space
2024-08-25

Random Walkers

happycoding.io/tutorials/proce

#tutorial #processing #arrays #example #animation #randomwalker #generativeart #random

Happy Coding BotHappyCodingBot@botsin.space
2024-07-28

Random Walkers

happycoding.io/tutorials/proce

#tutorial #processing #arraylists #example #animation #arraylist #randomwalker #generativeart #emergence

Alexandre B A Villares 🐍villares@ciberlandia.pt
2023-05-17

A random walker x3 (rotational simetry)
#Processing #Python #py5 #RandomWalker

""" colorful random paths made of circles in a black background made with the code below """ import py5 rotations = 3 margin = 100 vx, vy = 2, 3 brush_x, brush_y = 200, 200 def setup(): py5.size(600, 600) py5.no_stroke() py5.color_mode(py5.HSB) # Hue, Saturation, Brightness py5.background(0) def draw(): global brush_x, brush_y, vx, vy angle = py5.radians(360 / rotations) # moves 0, 0 to the center of the canvas py5.translate(py5.width / 2, py5.height / 2) for i in range(rotations): # repeats "rotations" times py5.rotate(angle) py5.fill((py5.frame_count / 10) % 255, 200, 200) py5.circle(brush_x - py5.width / 2, brush_y - py5.height / 2, 5) vx = vx + py5.random(-0.5, 0.5) vy = vy + py5.random(-0.5, 0.5) if abs(vx) > 5: vx = 0 if abs(vy) > 5: vy = 0 brush_x = brush_x + vx brush_y = brush_y + vy if brush_x > (py5.width - margin) or brush_x < margin: vx = -vx if brush_y > (py5.height - margin) or brush_y < margin: vy = -vy py5.run_sketch()
Daniel Buzzodanbz
2023-01-06

steal like an artist in

Daniel Buzzodanbz
2023-01-06

steal like an artist in

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