Lmst

Same as yesterday, but this time, making a 2D Discrete Random Walk with my #R #Package #RandomWalker

#R #RStats #RProgramming #RandomWalks #Visual #ggplot2

A scatterplot titled "2D Random Walks with Outliers Highlighted." It shows multiple colored random walk paths in a 2D space, with outliers prominently highlighted in bold red dashed lines. Non-outliers are displayed in lighter colors. Black dashed horizontal and vertical lines indicate threshold boundaries for outlier detection. The x-axis is labeled "Cumulative Sum X," and the y-axis is labeled "Cumulative Sum Y."

A scatterplot titled "2D Random Walk Outliers Only." It showcases only the outlier random walk paths in a 2D space, displayed in various colors on a white background. Black dashed horizontal and vertical lines mark the threshold boundaries for outlier detection. The x-axis is labeled "Cumulative Sum X," and the y-axis is labeled "Cumulative Sum Y."

A scatterplot titled "2D Random Walk Non-Outliers Only." It displays multiple colored linear paths representing random walks in a 2D space, constrained to non-outlier data points. The x-axis is labeled "Cumulative Sum X," and the y-axis is labeled "Cumulative Sum Y." The paths are laid out in a grid-like pattern with varied colors.

A screenshot of R programming code written for generating 2D random walks, analyzing outliers, and plotting results. The code uses libraries such as RandomWalker, dplyr, ggplot2, and tidyr. It calculates confidence intervals, identifies outliers, and generates three types of plots: non-outliers, outliers, and highlighted outliers. The syntax is color-coded, with comments explaining each step.

Same as yesterday, but this time, making a 2D Discrete Random Walk with my #R #Package #RandomWalker

#R #RStats #RProgramming #RandomWalks #Visual #ggplot2

Ionic Temple, Chiswick Park.
#RandomWalks

A large group of daffodils in front of an artificial watercourse. on the other side of the water a small pale stone building with a grey domed roof stands amongst mature trees. The arched doorway of the building with a shallow triangular pediment is reflected in the water. The photo is taken in the early evening with low bright sunshine from the left.

"What is it like to be an immigrant? Filmmaker Borbála Tompa animates the fears, challenges, and aspirations of five immigrants in Budapest whose futures remain undetermined. See "Random Walks" by Borbála Tompa, now playing, in the Video Arts Room located pre-security in the International Terminal. https://www.flysfo.com/museum/video-arts/random-walks" This was posted to our Instagram account on November 13, 2018 – https://millsfield.sfomuseum.org/instagram/1880151933/

If you like #randomwalks and #histograms - I have this for you. An animated histogram using #WebVPython

https://youtu.be/dYtAq3vZXiY

#randomwalks are just fun to model in #python. Here's a very detailed post about how to make it work in #webvpython. Oh, technically, it could be #physics too.

https://rjallain.medium.com/modeling-random-walks-in-python-for-fun-and-no-profit-3938fb833f3b

The healthyverse meta package:

healthyR: Streamline hospital data workflows
healthyR.ts: Master time series analysis
healthyR.ai: Implement AI modeling seamlessly
healthyR.data: Access curated healthcare datasets
TidyDensity: Simplify probability distributions
tidyAML: Automate machine learning with tidymodels
RandomWalker: Explore random walk analysis

install.packages("healthyverse")
library(healthyverse)

https://www.spsanderson.com/healthyverse/

#R #RStats #ML #automl #tidymodels #parsnip #randomwalks

The healthyverse meta package:

healthyR: Streamline hospital data workflows
healthyR.ts: Master time series analysis
healthyR.ai: Implement AI modeling seamlessly
healthyR.data: Access curated healthcare datasets
TidyDensity: Simplify probability distributions
tidyAML: Automate machine learning with tidymodels
RandomWalker: Explore random walk analysis

install.packages("healthyverse")
library(healthyverse)

https://www.spsanderson.com/healthyverse/

#R #RStats #ML #automl #tidymodels #parsnip #randomwalks

Here's how visualize_walks() can transform your data analysis:

• Simplifies random walk visualization
• Works with various RandomWalker package functions
• Creates stunning ggplot2 plots in a patchwork layout
• Customizable alpha values for perfect transparency
• Option to make plots interactive with a single parameter
• Flexibility to focus on specific attributes

No coding gymnastics required!

#R #RStats #RProgramming #ggplot2 #RandomWalks #Simulation

Reference: https://www.spsanderson.com/RandomWalker/reference/visualize_walks.html

Here's how visualize_walks() can transform your data analysis:

• Simplifies random walk visualization
• Works with various RandomWalker package functions
• Creates stunning ggplot2 plots in a patchwork layout
• Customizable alpha values for perfect transparency
• Option to make plots interactive with a single parameter
• Flexibility to focus on specific attributes

No coding gymnastics required!

#R #RStats #RProgramming #ggplot2 #RandomWalks #Simulation

Reference: https://www.spsanderson.com/RandomWalker/reference/visualize_walks.html