tis or ts time series to cut off leading and trailing
NA (and optionally zero) observations.naWindow(x, union = F, zero = F)tis or ts time seriesTRUE, chop off leading and trailing zeroes alsox with leading and trailing NA observations deleted.union = TRUE, a
row of x is considered to be NA if and only if all entries in
that row are NA. If union = FALSE (the default), a row is
considered to be NA if any of its entries is NA. if zero is TRUE, the function chops off leading and
trailing observations that are either NA or zero. Otherwise,
it chops only NAs.
window