Exclude NA and Zero Observations
Windows a tis or ts time series to cut off leading and trailing
NA (and optionally zero) observations.
naWindow(x, union = F, zero = F)
x |
a |
union |
see details below |
zero |
if |
For multivariate (multiple columns) series and 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.
A copy of x with leading and trailing NA observations deleted.
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