Real-time STOMP algorithm

stompi_update(.mp, new_data, history_size = FALSE)

Arguments

.mp	a TSMP object of class `MatrixProfile`.
new_data	new data to append to original data.
history_size	an `int` or `FALSE`. (Default is `FALSE`). Keep only this amount of data in the object. The value is for the data, not the matrix profile. Notice that the `lmp`and `lpi` will be inconsistent when repeatedly updating limiting the history size and thus will affect the `mp` and `pi`.

Value

Returns the input .mp updated with the new information.

Examples

mp <- tsmp(mp_toy_data$data[1:200, 1], window_size = 30, verbose = 0)
mpi <- stompi_update(mp, mp_toy_data$data[201:300, 1])
#> tsmp Parsing data +4488ms 
#> Error in 1:.mp$w: argument of length 0
mp <- tsmp(mp_toy_data$data[1:300, 1], window_size = 30, verbose = 0)
all.equal(mp, mpi, check.attributes = FALSE)
#> Error in all.equal.list(mp, mpi, check.attributes = FALSE): object 'mpi' not found