I'd like to use a custom annotation vector (av) for a matrix profile (mp)
produced using the tsmp package, but I am unsure how to amend said profile
produced by e.g. the compute function.
I note that the package provides some functions to do this for "standard"
cases, such as av_complexity, av_hardlimit_artifact etc. and then av_apply,
but I want to apply a custom av. I have tried directly replacing the mp in
the results produced by compute, i.e.
result <- compute( data , ... )
result$mp <- my_av_mp
but this doesn't work as I get the following error
Error in `[.data.frame`(matrix_profile$mp, min_idx) :
undefined columns selected
Trying
result$mp[,1] <- my_av_mp
doesn't give an error, but when I try to use the amended result further,
i.e.
motif_results <- find_motif( result , n_motifs = 5 , ... )
I get the error
Error in apply(.mp$mp, 2, which.min) : dim(X) must have a positive length
What is the correct way to apply a custom av with the tsmp package?
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