| intervalValueCalculate | R Documentation |
Splits the values of a response into subsets corresponding individuals and applies a function that calculates a single value from each individual's observations during a specified time interval. It includes the ability to calculate the observation that corresponds to the calculated value of the function.
intervalValueCalculate(response, weights=NULL, individuals = "Snapshot.ID.Tag",
FUN = "max", which.obs = FALSE, which.levels = NULL,
start.time=NULL, end.time=NULL, times.factor = "Days",
suffix.interval=NULL, data, sep=".", na.rm=TRUE, ...)
response |
A |
weights |
A |
individuals |
A |
FUN |
A |
which.obs |
A |
which.levels |
A |
start.time |
A |
end.time |
A |
times.factor |
A |
suffix.interval |
A |
data |
A |
na.rm |
A |
sep |
A |
... |
allows for arguments to be passed to |
A data.frame, with the same number of rows as there are
individuals, containing a column for the individuals,
a column with the values of the function for the individuals,
and a column with the values of the times.factor. The name of
the column with the values of the function will be result of
concatenating the response, FUN and, if it is not
NULL, suffix.interval, each separated by a full stop.
Chris Brien
intervalGRaverage, intervalGRdiff, intervalWUI, splitValueCalculate, getDates
data(exampleData)
Area.smooth.max <- intervalValueCalculate("Area.smooth",
start.time = 31, end.time = 35,
suffix.interval = "31to35",
data = longi.dat)
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