Splits Multivariate Time Series Lists to Univariate TSLs

This function takes a time series list with multivariate zoo objects to generate a new one with univariate zoo objects. A time series list with the the zoo objects "A" and "B", each with the columns "a", "b", and "c", becomes a time series list with the zoo objects "A__a", "A__b", "A__c", "B__a", "B__b", and "B__c". The only column of each new zoo object is named "x".

Usage

tsl_split(tsl = NULL, sep = "__")

Arguments

tsl

(required, list) Time series list. Default: NULL

sep

(required, character string) separator between the time series name and the column name.

Value

time series list

See also

Other tsl_management: tsl_colnames_clean(), tsl_colnames_get(), tsl_colnames_set(), tsl_count_NA(), tsl_diagnose(), tsl_handle_NA(), tsl_names_clean(), tsl_names_get(), tsl_names_set(), tsl_names_test(), tsl_ncol(), tsl_nrow(), tsl_repair(), tsl_subset(), tsl_time(), tsl_time_class_set(), tsl_to_df()

Examples

tsl <- tsl_simulate(
  n = 2,
  time_range = c(
    "2010-01-01",
    "2024-12-31"
  ),
  cols = 3
)

names(tsl)
#> [1] "A" "B"

if(interactive()){
  tsl_plot(tsl = tsl)
}

tsl <- tsl_split(tsl = tsl)

names(tsl)
#> [1] "A__a" "A__b" "A__c" "B__a" "B__b" "B__c"

if(interactive()){
  tsl_plot(tsl = tsl)
}

lapply(tsl, colnames)
#> $A__a
#> [1] "x"
#> 
#> $A__b
#> [1] "x"
#> 
#> $A__c
#> [1] "x"
#> 
#> $B__a
#> [1] "x"
#> 
#> $B__b
#> [1] "x"
#> 
#> $B__c
#> [1] "x"
#>