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Comments (4)

trafficonese avatar trafficonese commented on May 25, 2024 1

Just posting the link to the mentioned stackoverflow question + comment:
https://stackoverflow.com/questions/31933850/replace-missing-values-in-a-time-series-dataset-with-both-na-and-zero

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SteffenMoritz avatar SteffenMoritz commented on May 25, 2024 1

Ah yes, right - this is fixed with the new version :)

Thanks for checking 👍

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trafficonese avatar trafficonese commented on May 25, 2024

I think this is fixed already?

I couldn't reproduce this error. The amount of 0 stayed the same for all different algorithm methods:

n = 20
tsAirgap[sample(1:length(tsAirgap), n)] <- 0

x <- na_seadec(tsAirgap, algorithm = "interpolation")
x1 <- na_seadec(tsAirgap, algorithm = "mean")
x2 <- na_seadec(tsAirgap, algorithm = "locf")
x3 <- na_seadec(tsAirgap, algorithm = "random")
x4 <- na_seadec(tsAirgap, algorithm = "kalman")
x5 <- na_seadec(tsAirgap, algorithm = "ma")

all(c(sum(x==0, na.rm=T),
  sum(x1==0, na.rm=T),
  sum(x2==0, na.rm=T),
  sum(x3==0, na.rm=T),
  sum(x4==0, na.rm=T),
  sum(x5==0, na.rm=T)) == 20)

[1] TRUE

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CameronNemo avatar CameronNemo commented on May 25, 2024

Thanks for the fix!

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