psi_auto_sum {distantia} | R Documentation |
Auto Sum
Description
Demonstration function to computes the sum of distances between consecutive samples in two time series.
Usage
psi_auto_sum(x = NULL, y = NULL, distance = "euclidean")
Arguments
x |
(required, zoo object or numeric matrix) univariate or multivariate time series with no NAs. Default: NULL. |
y |
(required, zoo object or numeric matrix) a time series with the same number of columns as |
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 vector
See Also
Other psi_demo:
psi_auto_distance()
,
psi_cost_matrix()
,
psi_cost_path()
,
psi_cost_path_sum()
,
psi_distance_lock_step()
,
psi_distance_matrix()
,
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)
}
#auto sum of distances
psi_auto_sum(
x = x,
y = y,
distance = d
)
#same as:
x_sum <- psi_auto_distance(
x = x,
distance = d
)
y_sum <- psi_auto_distance(
x = y,
distance = d
)
x_sum + y_sum
[Package distantia version 2.0.2 Index]