[R] Custom annotation vector in R tsmp package

Bert Gunter bgunter@4567 @end|ng |rom gm@||@com
Sat Mar 20 22:44:11 CET 2021

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So while you might get a response here, you should not expect one. Also, I
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"data" looks like. Could be wrong, of course...

Bert Gunter

"The trouble with having an open mind is that people keep coming along and
sticking things into it."
-- Opus (aka Berkeley Breathed in his "Bloom County" comic strip )

On Sat, Mar 20, 2021 at 2:31 PM babelproofreader <babelproofreader using gmail.com>

> 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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