The data.frame must have three columns "date", "value" and "series" (identifying the time series)
long_to_ts(
data,
keep_last_freq_only = FALSE,
force_xts = FALSE,
strip_nas = TRUE
)
data.frame The data.frame to be transformed
in case there is a frequency change in a time series, should only the part of the series be returned that has the same frequency as the last observation. This is useful when data start out crappy and then stabilize
logical
logical should NAs be stripped (no leading and trailing nas) ?