I share an answer to my old problem for the community

General
1

Hi Community !

Few weeks ago I asked a question : Plotting timeseries data with missing values

I think I found the answer :

  • I kept my normal datas with the blanks parts on my curve
  • I applied a filter on my datas in order to have an other curve without blanks (below, I propose 2 filters, you need to choose the better for you) :
library(dplR)

x <- na.omit(PLR2[, 6])

#low-pass filter -- note freq is passed in
bSm <- pass.filt(x, W=0.05, type="low", method="Butterworth")
cSm <- pass.filt(x, W=0.05, type="low", method="ChebyshevI")
plot(x, type="l", col="green")
lines(bSm, col="red")
lines(cSm, col="blue")

So with these solutions I have my datas with blanks parts and an other curve with a filter curve without blank parts.

Have a nice day.

Yours sincerely

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A post was merged into an existing topic: Plotting timeseries data with missing values