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 0.6004876 0.2827246 0.1951809 0.2117160 0.7122866
#> 2 A 2011-02-10 0.5164341 0.1992767 0.2661115 0.3372193 0.7467385
#> 3 A 2012-03-22 0.6713781 0.9236098 0.9292182 0.6674751 0.6367205
#> 4 A 2013-05-02 0.5373005 0.4582469 0.6247945 0.5426344 0.7330234
#> 5 A 2014-06-12 0.6936860 0.7194246 0.6950660 0.4854932 0.5054069
#> 6 A 2015-07-22 0.6198993 0.5437065 0.7776212 0.5130066 0.3962538