Displaying 3 results from an estimated 3 matches for "y2021".
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2021
2023 Oct 16
1
creating a time series
...:45:00", tz = "CET"), by = 60 * 15)
# (365)*24*4=35040 - OK
length(y2019)
y2020 <- seq(from=as.POSIXct("2020-01-01 00:00:00", tz = "CET"),
to=as.POSIXct("2020-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# (366)*24*4=35136 - OK
length(y2020)
y2021 <- seq(from=as.POSIXct("2021-01-01 00:00:00", tz = "CET"),
to=as.POSIXct("2021-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# (365)*24*4=35040 - OK
length(y2021)
y2022 <- seq(from=as.POSIXct("2022-01-01 00:00:00", tz = "CET"),
to=as...
2023 Oct 16
1
Ynt: creating a time series
...3:45:00", tz = "CET"), by = 60 * 15)
# (365)*24*4=35040 - OK
length(y2019)
y2020 <- seq(from=as.POSIXct("2020-01-01 00:00:00", tz = "CET"),
to=as.POSIXct("2020-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# (366)*24*4=35136 - OK
length(y2020)
y2021 <- seq(from=as.POSIXct("2021-01-01 00:00:00", tz = "CET"),
to=as.POSIXct("2021-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# (365)*24*4=35040 - OK
length(y2021)
y2022 <- seq(from=as.POSIXct("2022-01-01 00:00:00", tz = "CET"),
to=as.P...
2023 Oct 16
2
creating a time series
Hello everyone,
? had 15 minutes of data from 2017-11-02 13:30:00 to 2022-11-26 23:45:00 and number of data is 177647
? would like to ask why my time series are less then my expectation.
baslangic <- as.POSIXct("2017-11-02 13:30:00", tz = "CET")
bitis <- as.POSIXct("2022-11-26 23:45:00", tz = "CET") #
zaman_seti <- seq.POSIXt(from = baslangic,