utils_distantia_df_split: Split Dissimilarity Analysis Data Frames by Combinations of...

In distantia: Advanced Toolset for Efficient Time Series Dissimilarity Analysis

Split Dissimilarity Analysis Data Frames by Combinations of Arguments

Description

Internal function to split a distantia data frame by groups of the arguments 'distance', 'diagonal', and 'lock_step'.

Usage

utils_distantia_df_split(df = NULL)

Arguments

df	(required, data frame) Output of distantia() or distantia_aggregate(). Default: NULL

Value

list

See Also

Other internal: utils_boxplot_common(), utils_check_args_distantia(), utils_check_args_matrix(), utils_check_args_momentum(), utils_check_args_path(), utils_check_args_tsl(), utils_check_args_zoo(), utils_check_distance_args(), utils_check_list_class(), utils_clean_names(), utils_digits(), utils_prepare_df(), utils_prepare_matrix(), utils_prepare_matrix_list(), utils_prepare_time(), utils_prepare_vector_list(), utils_prepare_zoo_list(), utils_tsl_pairs()

Examples

#three time series
#climate and ndvi in Fagus sylvatica stands in Spain, Germany, and Sweden
tsl <- tsl_initialize(
  x = fagus_dynamics,
  name_column = "name",
  time_column = "time"
)

#dissimilarity analysis with four combinations of parameters
df <- distantia(
  tsl = tsl,
  distance = c(
    "euclidean",
    "manhattan"
    ),
  lock_step = c(
    TRUE,
    FALSE
  )
)

#split by combinations of parameters
df_split <- utils_distantia_df_split(
  df = df
)

#print output
df_split

#class and length of the output
class(df_split)
length(df_split)

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