Hello,
You can try the following:
x <- read.table(text="2000-01-05 00:00:00 1.0
2000-01-05 01:00:00 1.0
2000-01-05 05:00:00 3.6
2000-01-05 06:00:00 3.6
2000-01-05 07:00:00 2.2
2000-01-05 08:00:00 2.2
2000-01-05 09:00:00 2.2
2000-01-05 10:00:00 2.2
2000-01-05 11:00:00 2.2
2000-02-05 00:00:00 1.0
2000-02-05 01:00:00 1.0
2000-02-05 05:00:00 3.6
2000-02-05 06:00:00 3.6
2000-02-05 07:00:00 2.2
2000-02-05 08:00:00 2.2
2000-02-05 09:00:00 2.2
2000-02-05 10:00:00 2.2
2000-02-05 11:00:00 2.2")
colnames(x) <- c('Date','Time','Value')
y <- c('00:00:00','01:00:00','02:00:00','03:00:00','04:00:00','05:00:00')
idx <- is.element(x$Time, y)
x[idx,]
Hope this help.
Pascal
Le 01/08/2012 15:48, Васильченко Александр a écrit :
Hello
I have dataframe
How to remove dates in hourly time seriesThe example time series likedate
value
2000-01-05 00:00:00 1.0
2000-01-05 01:00:00 1.0
2000-01-05 05:00:00 3.6
2000-01-05 06:00:00 3.6
2000-01-05 07:00:00 2.2
2000-01-05 08:00:00 2.2
2000-01-05 09:00:00 2.2
2000-01-05 10:00:00 2.2
2000-01-05 11:00:00 2.2
2000-02-05 00:00:00 1.0
2000-02-05 01:00:00 1.0
2000-02-05 05:00:00 3.6
2000-02-05 06:00:00 3.6
2000-02-05 07:00:00 2.2
2000-02-05 08:00:00 2.2
2000-02-05 09:00:00 2.2
2000-02-05 10:00:00 2.2
2000-02-05 11:00:00 2.2
And I take interval for example from 00:00:00 to 05:00:00.
date value
2000-01-05 00:00:00 1.0
2000-01-05 01:00:00 1.0
2000-01-05 05:00:00 3.6
2000-02-05 00:00:00 1.0
2000-02-05 01:00:00 1.0
2000-02-05 05:00:00 3.6
Regards, Aleksander.
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