distantia_ls {distantia} | R Documentation |
Lock-Step Dissimilarity Analysis of Time Series Lists
Description
Minimalistic but slightly faster version of distantia()
to compute lock-step dissimilarity scores.
Usage
distantia_ls(tsl = NULL, distance = "euclidean")
Arguments
tsl |
(required, time series list) list of zoo time series. 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
data frame:
-
x
: time series name. -
y
: time series name. -
distance
: name of the distance metric. -
psi
: psi dissimilarity of the sequencesx
andy
.
See Also
Other distantia:
distantia()
,
distantia_dtw()
,
distantia_dtw_plot()
Examples
#load fagus_dynamics as tsl
#global centering and scaling
tsl <- tsl_initialize(
x = fagus_dynamics,
name_column = "name",
time_column = "time"
) |>
tsl_transform(
f = f_scale_global
)
if(interactive()){
tsl_plot(
tsl = tsl,
guide_columns = 3
)
}
#lock-step dissimilarity analysis
df_ls <- distantia_ls(
tsl = tsl,
distance = "euclidean"
)
df_ls
[Package distantia version 2.0.0 Index]