Takes the output of distantia()
to return a data frame with one row per time series with the stats of its dissimilarity scores with all other time series.
Arguments
- df
(required, data frame) Output of
momentum()
,momentum_ls()
, ormomentum_dtw()
. Default: NULL
See also
Other momentum_support:
momentum_aggregate()
,
momentum_boxplot()
,
momentum_model_frame()
,
momentum_spatial()
,
momentum_to_wide()
Examples
tsl <- tsl_simulate(
n = 5,
irregular = FALSE
)
df <- distantia(
tsl = tsl,
lock_step = TRUE
)
df_stats <- distantia_stats(df = df)
df_stats
#> name mean min q1 median q3 max sd range
#> 1 A 3.205161 1.235888 2.313762 3.089948 3.981347 5.404862 1.7407727 4.168973
#> 2 B 3.598476 1.235888 2.673570 3.470935 4.395840 6.216145 2.0549913 4.980257
#> 3 C 3.689692 2.673053 3.032862 3.740068 4.396898 4.605579 0.9250679 1.932526
#> 4 D 4.389094 3.506842 3.718515 4.058205 4.728784 5.933122 1.0841632 2.426279
#> 5 E 5.539927 4.605579 5.205041 5.668992 6.003877 6.216145 0.7078421 1.610566