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Addressing the reviews for JOSS submission #83
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Yes, open an issue for Mann-Kendall correlation. No, it is not mandatory to pass the review. FOr the offset-arrays: I don't understand your argument. What do you mean we want to have "normal" indexing? The indexing of an array has nothing to do with its values. You can have non-equispaced data in an It is very easy to solve the issue. We just change the code in this file https://github.com/JuliaDynamics/TransitionsInTimeseries.jl/blob/main/src/misc/timeseries.jl to instead of use |
Do we cite the version of |
The functions of The version of Finally, I noticed our test environment had unused (heavy) packages, which I removed. |
great, thanks! Would you mind writing a reply message in the JOSS review GitHub issue? |
Yes, I just left work so let me do this tomorrow!
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Hi @Datseris!
This PR addresses most comments made by the reviewers for the JOSS publication. In particular:
.csv
data used for Figs. 1 and 2 can now be generated fromewstools
by runningpaper/code/ewstools-tuto-1.py
. This addresses Cannot reproduce benchmarks ewstools_tuto-1.csv missing #81.@belapsed
and the python code has been adapted accordingly (extract min instead of mean runtime). This addresses Benchmarks in the paper should be done using benchmarking packages #80.tail = :right
, corrected:tail = (:right, right)
). This addresses Code example in JOSS paper does not work #79.paper.md
.This only leaves two points open:
OffsetArray
does not work withequispaced_step
, as mentioned in definition of equispaced_step for OffsetArray errors #78. However, I think this is not a problem, since we want to have normal indexing, even for timeseries that have a variabledt
. Your opinion is welcome!Additionally, this PR permutes the left and right axes used in the plotting function. Looking at it again after a while, it appeared much more readable to me in this new version.