"TimeIntervalDataFrame"data.frame
and, for each row, two POSIXct that can
be summarize as time interval with the POSIXcti class.
This allows to manipulate at once time data without any
restriction on time representation : data can occur at different time,
data can be discontinuous, data can be unhomogeneous (not lasting
for a unique period), data can overlay each other, etc.
There are several methods to test/deal/ensure that
these properties are respected or not, see below.To list all methods available for TimeIntervalDataFrame, type in the R console :
methods(class='TimeIntervalDataFrame') # for S3 methods}
showMethods(class='TimeIntervalDataFrame') # for S4 methods}
To get back to this documentation from the R console :
class?TimeIntervalDataFrame
The construction of the class allows to manipulate objects as if they
were data.frame (see
Finally, some specific methods allow to easily deal with agregation of data over time
properties (day, hour, week, special or specific time intervals).
new("TimeIntervalDataFrame", ...)...argument must be replaced
by named arguments coresponding to slots of a TimeIntervalDataFrame (see below).
See alsonew.TimeIntervalDataFrame (start, end=NULL, timezone='UTC', data=NULL, ...)Arguments of the function correspond to object slots. SeeTimeIntervalDataFramefor details.RegularTimeIntervalDataFrame (from, to, by, period, timezone='UTC', data=NULL)Wrapper to construct TimeIntervalDataFrame with specific properties (seeRegularTimeIntervalDataFrame).as.TimeIntervalDataFrame (from, ...)Converting object to TimeIntervalDataFrame.TimeInstantDataFrame, SubtimeDataFrame,
POSIXcti, POSIXctp