rw30: Generate Random Walks

In RandomWalker: Generate Random Walks Compatible with the 'tidyverse'

Generate Random Walks

Description

Generate Random Walks

Usage

rw30()

Details

The function generates random walks using the normal distribution with a specified mean (mu) and standard deviation (sd). Each walk is generated independently and stored in a tibble. The resulting tibble is then pivoted into a long format for easier analysis.

Value

A tibble in long format with columns walk, x, and value, representing the random walks. Additionally, attributes num_walks, num_steps, mu, and sd are attached to the tibble.

Author(s)

Steven P. Sanderson II, MPH

This function generates 30 random walks with 100 steps each and pivots the result into a long format tibble.

Examples

# Generate random walks and print the result
set.seed(123)
rw30()

set.seed(123)
rw30() |>
 visualize_walks()

RandomWalker documentation built on Oct. 23, 2024, 5:07 p.m.