I imagine this is in the documentation somewhere but I haven't been able
to find it.
I have a data frame (octets transmitted on a network interface, a sample
is appended)
that I wish to convert into a time series.
The as.ts is close to what I want but not quite right.
e.g.
> octets <- read.table(
"sample/time-series/typical-octets-in.data",
header = TRUE );
> octet.series <- as.ts( octets )
> plot( octet.series )
This produces three plots: one each for the three variables, timestamp,
maximum, average.
Of course, there is no regular interval.
I would to have a conversion fuction that aggregates the
data frames tuples into samples in the time series.
Something like...
> octet.series <- x.ts( data = octets, times = 1, colums = c(2,3),
deltat = 120, aggregate = c("max","mean" ) );
timestamp maximum average
1037669760 1.3262000000e+04 1.1481950000e+04
1037670000 1.9400200000e+04 1.4238516667e+04
1037670240 2.0456266667e+04 1.6628133333e+04
1037670480 2.1213200000e+04 1.9318616667e+04
1037670720 1.9905533333e+04 1.6954866667e+04
...
1037718480 1.8389866667e+04 1.7671633333e+04
1037718720 1.8000000000e+04 1.4151000000e+04
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