I have written the R code below to perform White's Data Mining Reality Check
(DMRC) but as it stands at the moment it is painfully slow. It is written as
a function as I call it many times from a script file with different data
input, and the output is sunk() to a text file. Could anyone suggest
i
Is there a function in R to calculate the semi deviation of a data set? I
cannot seem to find a reference to one in the manual.
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Is there a circular shift function in R similar to the shift function in
Octave? From my reading of the manual there does not appear to be one, but
if I am mistaken, can someone point out the relevant section?
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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_har
I have copied a very simple function but when I try to call it I get an error
message "could not find function". The function file is named addthree.r and
I cd to the directory where the function is saved before calling it. What am
I doing wrong?
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