naWindow {tis}

Exclude NA and Zero Observations

Description

Windows a tis or ts time series to cut off leading and trailing NA (and optionally zero) observations.

Usage

naWindow(x, union = F, zero = F)

Arguments

x

a tis or ts time series

union

see details below

zero

if TRUE, chop off leading and trailing zeroes also

Details

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.

Value

A copy of x with leading and trailing NA observations deleted.

See Also

window