Hourly Time Series

Using zoo would allow you to retain the date/time portion.  In ts you would
have to represent them as numbers; however, as you can easily switch
from zoo to ts you probably want to use zoo in the first instance:

library(zoo)
library(chron)
Lines <- "DateID        HourID        Metrics
20060920    0                1
20060920    1                2"
z <- read.zoo(textConnection(Lines), header = TRUE, format = "%Y%m%d")
metrics <- aggregate(z[,2], chron(unclass(time(z))) + unclass(z[,1])/24, sum)
metrics
as.ts(metrics)

I have hourly data for approximately 21 days in the following format

DateID        HourID        Metrics
20060920    0                xxxxxx
20060920    1                xxxxxx

The hour ids correspond to one hour windows starting 00:00 to 23:59.

I have never dealt with TS data before. What is the best way to handle
this data? TS objects or use the Zoo package?

Thanks in advance.

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and provide commented, minimal, self-contained, reproducible code.

The 'fame' package I submitted to CRAN can handle hourly, minutely, and
secondly series.  The first submission I made last night did not build
correctly on a Linux machine without the FAME libraries, but the one I put up
this morning has fixed that. It should be available soon, unless I missed
another problem (entirely possible).

Jeff