Transform Time Series List to Data Frame
See also
Other tsl_management:
tsl_burst(),
tsl_colnames_clean(),
tsl_colnames_get(),
tsl_colnames_prefix(),
tsl_colnames_set(),
tsl_colnames_suffix(),
tsl_count_NA(),
tsl_diagnose(),
tsl_handle_NA(),
tsl_join(),
tsl_names_clean(),
tsl_names_get(),
tsl_names_set(),
tsl_names_test(),
tsl_ncol(),
tsl_nrow(),
tsl_repair(),
tsl_subset(),
tsl_time()
Examples
tsl <- tsl_simulate(
n = 3,
rows = 10,
time_range = c(
"2010-01-01",
"2020-01-01"
),
irregular = FALSE
)
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 2010-01-01 0.6787063 0.7138592 0.7593769 0.1121627 0.3162761
#> 2 A 2011-02-10 0.6687941 0.6085045 0.6988391 0.1482270 0.3481428
#> 3 A 2012-03-22 0.6755347 0.6513111 0.8201172 0.2468428 0.2098305
#> 4 A 2013-05-02 0.5048007 0.5792843 0.8101604 0.5660837 0.4594817
#> 5 A 2014-06-12 0.2721474 0.2185899 0.4842476 0.6985481 0.7787640
#> 6 A 2015-07-22 0.3293727 0.2469761 0.1484940 0.4906197 0.3858767