window.oce: Window an Oce Object by Time or Distance

Description Usage Arguments Value Author(s) See Also Examples

Description

Windows x on either time or distance, depending on the value of which. In each case, values of start and end may be integers, to indicate a portion of the time or distance range. If which is "time", then the start and end values may also be provided as POSIX times, or character strings indicating times (in time zone given by the value of getOption("oceTz")). Note that subset may be more useful than this function.

Usage

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## S3 method for class 'oce'
window(x, start = NULL, end = NULL, frequency = NULL,
  deltat = NULL, extend = FALSE, which = c("time", "distance"),
  indexReturn = FALSE, debug = getOption("oceDebug"), ...)

Arguments

x

an oce object.

start

the start time (or distance) of the time (or space) region of interest. This may be a single value or a vector.

end

the end time (or distance) of the time (or space) region of interest. This may be a single value or a vector.

frequency

not permitted yet.

deltat

not permitted yet

extend

not permitted yet

which

string containing the name of the quantity on which sampling is done. Possibilities are "time", which applies the windowing on the time entry of the data slot, and "distance", for the distance entry (for those objects, such as adp, that have this entry).

indexReturn

boolean flag indicating whether to return a list of the "kept" indices for the time entry of the data slot, as well as the timeSlow entry, if there is one.. Either of these lists will be NULL, if the object lacks the relevant items.

debug

a flag that turns on debugging.

...

ignored

Value

Normally, this is new oce object. However, if indexReturn=TRUE, the return value is two-element list containing items named index and indexSlow, which are the indices for the time entry of the data slot (and the timeSlow, if it exists).

Author(s)

Dan Kelley

See Also

subset provides more flexible selection of subsets.

Examples

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library(oce)
data(adp)
plot(adp)
early <- window(adp, start="2008-06-26 00:00:00", end="2008-06-26 12:00:00")
plot(early)
bottom <- window(adp, start=0, end=20, which="distance")
plot(bottom)


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