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Duplicated DateTime values within ID are adjusted forward (recursively) by one second until no duplicates are present. This is considered reasonable way of avoiding the nonsensical problem of duplicate times.
adjust.duplicateTimes(time, id)The adjusted DateTime vector is returned.
vector of DateTime values
vector of ID values, matching DateTimes that are assumed sorted within ID
I have no idea what goes on at CLS when they output data that are either not ordered by time or have duplicates. If this problem exists in your data it's probably worth finding out why.
This function is used to remove duplicate time records in animal track data, rather than removing the record completely.
readArgos
## DateTimes with a duplicate within ID
tms <- Sys.time() + c(1:6, 6, 7:10) *10
id <- rep("a", length(tms))
range(diff(tms))
## duplicate record is now moved one second forward
tms.adj <- adjust.duplicateTimes(tms, id)
range(diff(tms.adj))
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