euclidean_distance: Distance Calculations

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

Distance Calculations

Description

A function to calculate the Euclidean distance between two vectors.

Usage

euclidean_distance(.data, .x, .y, .pull_vector = FALSE)

Arguments

.data	A data frame
.x	A numeric vector
.y	A numeric vector
.pull_vector	A boolean of TRUE or FALSE. Default is FALSE which will augment the distance to the data frame. TRUE will return a vector of the distances as the return.

Details

A function to calculate the Euclidean distance between two vectors. It uses the formula sqrt((x - lag(x))^2 + (y - lag(y))^2). The function uses augments the data frame with a new column called distance.

Value

A numeric Vector of ditances

Author(s)

Steven P. Sanderson II, MPH

See Also

Other Vector Function: cgmean(), chmean(), ckurtosis(), cmean(), cmedian(), crange(), csd(), cskewness(), cvar(), kurtosis_vec(), rw_range(), skewness_vec()

Examples

set.seed(123)
df <- rw30()
euclidean_distance(df, step_number, y)
euclidean_distance(df, step_number, y, TRUE) |> head(10)

RandomWalker documentation built on Aug. 19, 2025, 1:14 a.m.