Apply a function over a Time*DataFrame that is first splitted into several sets according to time properties specified by INDEX.
1 2 3 4 5 6 7 8 9 10 11 12 13 14  ## S4 method for signature 'TimeIntervalDataFrame,TimeIntervalDataFrame'
tapply(X, INDEX, FUN, ...,
min.coverage=1, weights.arg=NULL, merge.X=TRUE, split.X=FALSE,
keep.INDEX=TRUE,default=NA, simplify=TRUE)
## S4 method for signature 'TimeIntervalDataFrame,POSIXctp'
tapply(X, INDEX, FUN, ...,
min.coverage=1, weights.arg=NULL, merge.X=TRUE, split.X=FALSE,
default=NA, simplify=TRUE)
## S4 method for signature 'TimeIntervalDataFrame,POSIXcti'
tapply(X, INDEX, FUN, ...,
min.coverage=1, weights.arg=NULL, merge.X=TRUE, split.X=FALSE,
default=NA, simplify=TRUE)

X 
a 
INDEX 
an object corresponding to or containing a time properties. Classes available depend on X. See sections below to know all (X, INDEX) combination defined. 
FUN 
the function to be applied. 
... 
optional arguments to 'FUN'. 
simplify 
if FALSE a list of ‘Time*DataFrame’ is returned ; if TRUE ‘tapply’ try to reduce the list to a single ‘Time*DataFrame’. 
default 
argument inherited from the base function,
currently unused; see 
min.coverage 
a numeric between 0 and 1 indicating the percentage of valid values over each interval to allow an aggregation. NA is returned if the percentage is not reach. In that configuration (min.coverage between 0 and 1, overlapping intervals are not allowed). When a function (FUN) has a na.rm argument, the na.rm=TRUE behaviour is met if na.rm is set to TRUE and min.coverage to 0 (zero) ; the na.rm=FALSE behaviour is met if na.rm is set to FALSE whatever is the value of min.coverage. If min.coverage is set to NA, time coverage of the resulting interval is not checked. Moreover, overlapping of X intervals is not checked. Thus the aggregation is done according to ‘weights.arg’ argument (if given). 
weights.arg 
if FUN has a ‘weight’ argument,
this parameter must be a character naming the weight
argument. For instance, if FUN is

merge.X 
logical indicating if data in ‘X’ can be merged over interval of the new time support. 
split.X 
logical indicating if data in ‘X’ that are over several intervals of 'INDEX' must be 'cut' to fit to new intervals (TRUE) or ignored (FALSE). 
keep.INDEX 
logical indicating if INDEX values must be kept on the resulting list. 
These functions are equivalent to old
changeSupport
methods. Instead of having
the core splitting algorithm in it, it uses the
split
methods. Be aware that default
parametres values between the two families
(‘changeSupport’ and ‘tapply’) are not
necessarily the same.
Users are encouraged to use ‘tapply’ instead of ‘changeSupport’ since new versions of ‘changeSupport’ are only wrappers to tapply.
split TimeIntervalDataFrame
over another
TimeIntervalDataFrame
and then apply a
function over each elements of the list.
split a TimeIntervalDataFrame
against
regular time intervals with a period defined by INDEX (a
POSIXctp
). Then a function is applied over
each elements of the list.
split TimeIntervalDataFrame
against
specified intervals (POSIXcti
). and then
apply a function over each elements of the list.
tapply
,
TimeIntervalDataFrameclass
,
TimeInstantDataFrameclass
,
SubtimeDataFrameclass
,
changeSupport
,
POSIXcticlass
,
POSIXstclass
, POSIXctpclass
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