Custom annotation vector in R tsmp package
Please note, per the posting guide linked below: "For questions about functions in standard packages distributed with R (see the FAQ Add-on packages in R <https://cran.r-project.org/doc/FAQ/R-FAQ.html#Add-on-packages-in-R>), ask questions on R-help. If the question relates to a *contributed package* , e.g., one downloaded from CRAN, try contacting the package maintainer first. You can also use find("functionname") and packageDescription("packagename") to find this information [see also ?maintainer]. *Only* send such questions to R-help or R-devel if you get no reply or need further assistance. This applies to both requests for help and to bug reports." So while you might get a response here, you should not expect one. Also, I think it will be very difficult for anyone to help you without knowing what "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 at gmail.com> wrote:
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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