Goal of this is to ingest the
events data frame and make a survivorship
data frame for the known dead, and presumed alive animals. These are easy,
because there is no uncertainty around their deaths. The output from this
will feed into
calcpresdSurvdat() to make one data frame that has
survivorship for all three death categories
a data frame of the last entanglement event for individual whales.
kdpasurvldf a many by 10 stacked data frame containing the
information needed to calculate survivorship (Done in another function).
Numerical identifier of the individual whale
Integer noting the
dtime of the animal,
i.e. the median month it was estimated to die in
Logical indicating whether or not the animal was
Integer indicating the integer time for
Integer noting the length of time between the end
of the entanglement window and the
Integer noting the maximum of
Integer indicating number of months between the end of the entanglement and the censoring month
Character describing the severity of the entanglement injury. Ordinal values include: minor, moderate, and severe
Integer denoting our numerical representation of the entanglement injury and whether or not the injury includes gear
Logical indicating whether or not the animal is known to have died
1 2 3 4 5
## Not run: calckdpaSurvdat(events) ## End(Not run)
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