Transform Time Series List to Data Frame
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_split(),
tsl_subset(),
tsl_time(),
tsl_time_class_set()
Examples
tsl <- tsl_simulate(
n = 3,
rows = 10,
time_range = c(
"2010-01-01",
"2020-01-01"
)
)
df <- tsl_to_df(
tsl = tsl
)
names(df)
#> [1] "name" "time" "a" "b" "c" "d" "e"
nrow(df)
#> [1] 30
head(df)
#> name time a b c d e
#> 1 A 2011-01-10 0.4567578 0.8438665 0.5549751 0.2605360 0.09540473
#> 2 A 2011-07-16 0.5518568 0.7242469 0.4290758 0.3346983 0.45265080
#> 3 A 2012-04-22 0.7082593 0.8696346 0.4929685 0.4349255 0.62071815
#> 4 A 2013-01-28 0.7105106 0.5372702 0.3450217 0.4523439 0.26869769
#> 5 A 2014-05-11 0.6899930 0.4756761 0.4047447 0.5268385 0.11956761
#> 6 A 2015-05-21 0.6093574 0.4675206 0.3626851 0.4716171 0.31333461