For instance, let's say I want to extract the price at 09:04:00 everyday from a timeseries that is formatted as:
DateTime | Price 2011-04-09 09:01:00 | 100.00 2011-04-09 09:02:00 | 100.10 2011-04-09 09:03:00 | 100.13
(NB: there is no | in the actual data, i've just included it here to illustrate that the DateTime is the index and Price is the coredata and that the two are distinct within the xts object)
and put those extracted values into an xts vector...what is the most efficient way to do this?
Also, if i have a five year time series of a cross-border spread, where - due to time differences - the spread opens at different times during the year (say 9am during winter, and 10am during summer) how can I get R to take account of those time differences and recognise either 9am-16:30 or 10am-16:30 as the same "day" interval.
In other words, I want to convert an intraday, 1m tick data file to daily OHLC data. Normally would just use xts and to.period to do this, but - given the time difference noted above - gives odd / strange day start/end times due
Any advice greatly appreciated!