Today's blog post is a simple one, but still important to your data. Looking at dropping NA values.

Post: https://www.spsanderson.com/steveondata/posts/2025-10-20/

#R #RStats #RProgramming #TidyData

Now using the hai_data_scale() fns from healthyR.ai

Reference: https://www.spsanderson.com/healthyR.ai/reference/hai_data_scale.html

#R #Rstats #tidydata #sttistics #data #normalization

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 #tidydata

You can use the custom_walk() function in #RandomWalker to use distributions that are either not yet supported by the package or custom to you, remember to only return a single value from your function and let custom_walk() do the rest.

#R #RStats #RProgramming #Code #tidydata

Antti Rask and I developed the #RandomWalker #RStats package to generate comprehensive time series of random variables. Inspired by my tinkering habit, we aim to include 100+ distributions. To avoid delays, the next version will let users define their own random processes with standardized output, plus improved visualizations. We're proud of this project and excited for its future updates!

#ggplot2 #Tech #tidydata

Sweating myself stupid for some reason, but here is some use of a new function for the next release. Looking at biased and non-biased random normal walks.

#R #RStats #RandomWalk #RandomWalker #ggplot2 #tidydata

Here are all of the available Continuous and Discrete Random Walks in the RandomWalker package :)

#R #RStats #RandomWalker #Random #tidydata #Positron

I am done with all the distributions for now for my #R #Package #RandomWalker the last one was a displacement walk.

#ggplot2 #tidydata #R #RStats #Random

In #dev on #GitHub is now random_chisquared_walk() I'm on a role, five more to go!

#RStats #R #ggplot2 #ggplot #tidydata