psi_distance_matrix: Distance Matrix

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Distance Matrix

Description

Demonstration function to compute the distance matrix between two univariate or multivariate time series.

This function does not accept NA data in the matrices x and y.

Usage

psi_distance_matrix(x = NULL, y = NULL, distance = "euclidean")

Arguments

x	(required, zoo object or numeric matrix) a time series with no NAs. Default: NULL
y	(zoo object or numeric matrix) a time series with the same columns as x and no NAs. Default: NULL
distance	(optional, character vector) name or abbreviation of the distance method. Valid values are in the columns "names" and "abbreviation" of the dataset distances. Default: "euclidean".

Value

numeric matrix

See Also

Other psi_demo: psi_auto_distance(), psi_auto_sum(), psi_cost_matrix(), psi_cost_path(), psi_cost_path_sum(), psi_distance_lock_step(), psi_equation()

Examples

#distance metric
d <- "euclidean"

#simulate two irregular time series
x <- zoo_simulate(
  name = "x",
  rows = 100,
  seasons = 2,
  seed = 1
)

y <- zoo_simulate(
  name = "y",
  rows = 80,
  seasons = 2,
  seed = 2
)

if(interactive()){
  zoo_plot(x = x)
  zoo_plot(x = y)
}

#distance matrix
dist_matrix <- psi_distance_matrix(
  x = x,
  y = y,
  distance = d
)

if(interactive()){
  utils_matrix_plot(
    m = dist_matrix
    )
}

distantia documentation built on April 4, 2025, 5:42 a.m.