setting zeros for missing interval in data

Mon, Feb 28, 2022 8:59 PM

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_botto at 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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setting zeros for missing interval in data

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