Displaying 3 results from an estimated 3 matches for "y2018".
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2018
2023 Oct 16
1
creating a time series
...= "CET"), by = 60 * 15)
# Length 42 - OK
length(y2017_11_02)
y2017_11_12 <- seq(from=as.POSIXct("2017-11-03 00:00:00", tz = "CET"),
to=as.POSIXct("2017-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# ((30-2)+31)*24*4=5664 - OK
length(y2017_11_12)
y2018 <- seq(from=as.POSIXct("2018-01-01 00:00:00", tz = "CET"),
to=as.POSIXct("2018-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# (365)*24*4=35040 - OK
length(y2018)
y2019 <- seq(from=as.POSIXct("2019-01-01 00:00:00", tz = "CET"),
to=as...
2023 Oct 16
1
Ynt: creating a time series
...z = "CET"), by = 60 * 15)
# Length 42 - OK
length(y2017_11_02)
y2017_11_12 <- seq(from=as.POSIXct("2017-11-03 00:00:00", tz = "CET"),
to=as.POSIXct("2017-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# ((30-2)+31)*24*4=5664 - OK
length(y2017_11_12)
y2018 <- seq(from=as.POSIXct("2018-01-01 00:00:00", tz = "CET"),
to=as.POSIXct("2018-12-31 23:45:00", tz = "CET"), by = 60 * 15)
# (365)*24*4=35040 - OK
length(y2018)
y2019 <- seq(from=as.POSIXct("2019-01-01 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,