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This function creates a data.frame with k-steps-ahead values of hour of day, such that it can be added to a data.list and used inputs to a forecast model.
make_tday(time, kseq, tstep = NA)Returns a forecast matrix (data.frame) with rownames = times, colnames = k1, k2, k3, ... The content of the data frame is the hour of day.
vector of times of class "POSIXct" "POSIXt".
vector of integers, representing the desired "k-steps ahead".
step time of k in seconds.
make_periodic
# Create a time sequence of 30 min sample period
tseq <- seq(ct("2019-01-01"), ct("2019-02-01 12:00"), by=1800)
# Make the time of day sequence (assuming time between k steps is same as for tseq)
make_tday(tseq, 1:10)
# With 0.5 hour steps, kstep in hours
make_tday(tseq, 1:10, tstep=3600)
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