Stats of Dissimilarity Data Frame

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.

Usage

distantia_stats(df = NULL)

Arguments

df

(required, data frame) Output of distantia(), distantia_ls(), distantia_dtw(), or distantia_time_delay(). Default: NULL

Value

data frame

See also

Other distantia_support: distantia_aggregate(), distantia_boxplot(), distantia_cluster_hclust(), distantia_cluster_kmeans(), distantia_matrix(), distantia_model_frame(), distantia_spatial(), distantia_time_delay(), utils_block_size(), utils_cluster_hclust_optimizer(), utils_cluster_kmeans_optimizer(), utils_cluster_silhouette()

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 3.296808 1.761407 2.482497 3.401601 4.215912 4.622621 1.2985348 2.861214
#> 2    B 3.155373 1.761407 2.408483 3.134579 3.881469 4.590924 1.2282561 2.829517
#> 3    C 3.389109 2.624174 2.698189 3.309487 4.000408 4.313287 0.8446247 1.689113
#> 4    D 4.270175 3.644984 3.833332 3.988229 4.425071 5.459258 0.8125554 1.814273
#> 5    E 4.746523 4.313287 4.521515 4.606773 4.831780 5.459258 0.4950579 1.145971