rw30 {RandomWalker} | R Documentation |
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
library(ggplot2)
# Generate random walks and print the result
set.seed(123)
rw30()
set.seed(123)
rw30() |>
ggplot(aes(x = x, y = y, color = walk_number, group = walk_number)) +
geom_line() +
theme_minimal() +
theme(legend.position = "none") +
labs(
title = "30 Random Walks",
x = "Step",
y = "Value",
color = "Walk Number"
)
[Package RandomWalker version 0.1.0 Index]