Hi Eliza,
It sure was:
YY$datetime<-strptime(YY$TIMESTAMP,"%Y/%m/%d %I:%M:%S %p")
dt5min<-seq(ISOdate(2021,5,1,0,5),ISOdate(2021,5,31,12,55),by="5 min")
newdt<-data.frame(datetime=dt5min)
newyy<-merge(newdt,YY,by="datetime",all=TRUE)
newyy$RAINFALL[is.na(newyy$RAINFALL)]<-0
plot(newyy$datetime,newyy$RAINFALL)
Jim
On Tue, Mar 1, 2022 at 2:57 PM Eliza Botto <eliza_bo...@outlook.com> wrote:
>
> [The data setting in the last email might be faulty]
>
> Dear useRs,
>
> I have the following dataset which represents rainfall data at a 5-minute
> interval from 1 May 2021 to 30 September 2021.
>
> > dput(YY)
>
> structure(list(CHANNEL = c(30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L, 30L,
> 30L, 30L), YEAR = c(2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L, 2021L,
> 2021L, 2021L, 2021L, 2021L), TIMESTAMP = c("2021/05/02 10:00:00 PM",
> "2021/05/02 10:55:00 PM", "2021/05/04 05:40:00 PM", "2021/05/04 06:50:00 PM",
> "2021/05/05 03:05:00 AM", "2021/05/08 05:15:00 AM", "2021/05/08 05:20:00 AM",
> "2021/05/08 05:30:00 AM", "2021/05/08 05:50:00 AM", "2021/05/08 06:05:00 AM",
> "2021/05/08 07:15:00 AM", "2021/05/08 08:00:00 AM", "2021/05/08 08:05:00 AM",
> "2021/05/08 08:15:00 AM", "2021/05/08 08:35:00 AM", "2021/05/08 08:50:00 AM",
> "2021/05/08 09:05:00 AM", "2021/05/08 09:30:00 AM", "2021/05/08 09:45:00 AM",
> "2021/05/08 09:55:00 AM", "2021/05/08 10:10:00 AM", "2021/05/08 10:20:00 AM",
> "2021/05/08 10:40:00 AM", "2021/05/08 10:55:00 AM", "2021/05/08 11:15:00 AM",
> "2021/05/08 11:25:00 AM", "2021/05/08 11:35:00 AM", "2021/05/08 11:45:00 AM",
> "2021/05/08 11:50:00 AM", "2021/05/08 12:00:00 PM", "2021/05/08 12:05:00 PM",
> "2021/05/08 12:15:00 PM", "2021/05/08 12:20:00 PM", "2021/05/08 12:30:00 PM",
> "2021/05/08 12:35:00 PM", "2021/05/08 12:50:00 PM", "2021/05/08 01:35:00 PM",
> "2021/05/08 01:50:00 PM", "2021/05/08 02:20:00 PM", "2021/05/08 02:30:00 PM",
> "2021/05/08 02:35:00 PM", "2021/05/08 03:00:00 PM", "2021/05/08 03:35:00 PM",
> "2021/05/08 03:45:00 PM", "2021/05/08 04:30:00 PM", "2021/05/08 04:40:00 PM",
> "2021/05/08 04:55:00 PM", "2021/05/08 05:05:00 PM", "2021/05/08 05:20:00 PM",
> "2021/05/08 07:25:00 PM", "2021/05/08 09:00:00 PM", "2021/05/08 09:25:00 PM",
> "2021/05/08 09:50:00 PM", "2021/05/08 10:15:00 PM", "2021/05/08 10:40:00 PM",
> "2021/05/08 11:35:00 PM", "2021/05/09 12:40:00 AM", "2021/05/09 01:10:00 AM",
> "2021/05/09 02:10:00 AM", "2021/05/09 06:00:00 AM", "2021/05/09 02:40:00 PM",
> "2021/05/09 02:45:00 PM", "2021/05/09 02:50:00 PM", "2021/05/09 02:55:00 PM",
> "2021/05/09 03:00:00 PM", "2021/05/09 03:05:00 PM", "2021/05/09 03:10:00 PM",
> "2021/05/09 03:15:00 PM", "2021/05/09 03:20:00 PM", "2021/05/09 03:25:00 PM",
> "2021/05/09 03:30:00 PM", "2021/05/09 03:35:00 PM", "2021/05/09 03:40:00 PM",
> "2021/05/09 03:45:00 PM", "2021/05/09 03:50:00 PM", "2021/05/09 03:55:00 PM",
> "2021/05/09 04:00:00 PM", "2021/05/09 04:05:00 PM", "2021/05/09 04:10:00 PM",
> "2021/05/09 04:15:00 PM", "2021/05/09 04:25:00 PM", "2021/05/09 04:30:00 PM",
> "2021/05/09 04:35:00 PM", "2021/05/09 04:40:00 PM", "2021/05/09 04:45:00 PM",
> "2021/05/09 04:50:00 PM", "2021/05/09 05:00:00 PM", "2021/05/09 05:05:00 PM",
> "2021/05/09 05:10:00 PM", "2021/05/09 05:20:00 PM", "2021/05/09 05:25:00 PM",
> "2021/05/09 05:35:00 PM", "2021/05/09 05:45:00 PM", "2021/05/09 05:50:00 PM",
> "2021/05/09 06:00:00 PM", "2021/05/09 06:10:00 PM", "2021/05/09 06:20:00 PM",
> "2021/05/09 06:30:00 PM", "2021/05/09 06:40:00 PM", "2021/05/09 06:50:00 PM"
> ), RAINFALL = c(0.2, 0.2, 0.4, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
> 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
> 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
> 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
> 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
> 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
> 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
> 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2
> )), row.names = c(276L, 286L, 599L, 773L, 829L, 951L, 955L, 971L,
> 996L, 1014L, 1123L, 1242L, 1260L, 1301L, 1378L, 1422L, 1456L,
> 1487L, 1504L, 1515L, 1539L, 1557L, 1597L, 1629L, 1679L, 1708L,
> 1728L, 1757L, 1775L, 1803L, 1818L, 1846L, 1859L, 1882L, 1892L,
> 1917L, 1983L, 2007L, 2050L, 2066L, 2077L, 2124L, 2190L, 2207L,
> 2288L, 2309L, 2334L, 2351L, 2374L, 2518L, 2588L, 2600L, 2616L,
> 2627L, 2639L, 2655L, 2674L, 2684L, 2725L, 2967L, 3826L, 3830L,
> 3832L, 3838L, 3842L, 3845L, 3846L, 3851L, 3854L, 3856L, 3861L,
> 3865L, 3868L, 3871L, 3873L, 3877L, 3880L, 3881L, 3885L, 3888L,
> 3890L, 3893L, 3897L, 3899L, 3900L, 3902L, 3906L, 3907L, 3910L,
> 3914L, 3915L, 3917L, 3920L, 3922L, 3923L, 3926L, 3928L, 3931L,
> 3932L, 3933L), class = "data.frame")
>
> You could clearly see that there are some intervals which are missing from
> this dataset. For example, the data values for 1st of May are missing.
> Similarly,
>
> between
>
> 30 2021 2021/05/02 10:00:00 PM 0.2
>
> and
>
> 30 2021 2021/05/02 10:55:00 PM 0.2
>
> the values of rainfall depth for following "time stamps" are missing because
> they were "zero"
>
> 30 2021 2021/05/02 10:05:00 PM 0.0
>
> 30 2021 2021/05/02 10:10:00 PM 0.0
>
> 30 2021 2021/05/02 10:15:00 PM 0.0
>
> 30 2021 2021/05/02 10:20:00 PM 0.0
>
> 30 2021 2021/05/02 10:25:00 PM 0.0
>
> 30 2021 2021/05/02 10:30:00 PM 0.0
>
> 30 2021 2021/05/02 10:35:00 PM 0.0
>
> 30 2021 2021/05/02 10:40:00 PM 0.0
>
> 30 2021 2021/05/02 10:45:00 PM 0.0
>
> 30 2021 2021/05/02 10:50:00 PM 0.0
>
> So, what I want is a uniform list starting from 2021/05/01 to 2021/09/30 at
> every 5-minute intervals with "zero" values for the missing intervals in the
> original data list. I hope my question is clear.
>
> Thank You very much in advance,
>
> Eliza
>
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