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๐ŸŒพ R package to provide an efficient and simple solution to aggregate and analyze the stationarity of time series

Home Page: https://github.com/super-lou/CARD

License: GNU General Public License v3.0

R 99.90% Makefile 0.10%
r stationarity-test statistics inrae hydrology low-water climate-change climate climate-data data-visualization data-analysis environment mann-kendall-tests mann-kendall time-series

exstat's Issues

Time vector discontinuity

You can get this type of error :

Error in `dplyr::bind_cols()` at EXstat/R/process_extraction.R:1319:9:
! Can't recycle `..1` (size 16616) to match `..2` (size 17350).
Run `rlang::last_trace()` to see where the error occurred.

For now, the time vector cannot be discontinuous, and I can't easily implement a workaround. So here is a simple chunk of code to fill in the missing days in a daily time series."

library(dplyr)

full_date =
    reframe(group_by(data, ID),
            Date=seq.Date(min(Date),
                          max(Date),
                          by="day"))
data = dplyr::full_join(full_date, data,
                       by=c("Date", "ID"))
data = dplyr::arrange(data, ID, Date)

monthly to year aggregation error

when monthly data are aggregated to year, there can be an error due to the need of daily vector repeating value of the numerical column

needs to be fix by a separated case from a classical day to year aggregation

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