[R] merge by time, certain value if 5 min before and after an "event"

PIKAL Petr petr.pikal at precheza.cz
Fri Oct 3 09:31:27 CEST 2014


Hi

So if I understand correctly, you want to spread value "high" to times 5 minutes before its occurrence and 5 minutes after its occurrence.

If your dates are not extremely big you can prepare its expanded version and use code suggestions I sent previously

myframe <- data.frame (Timestamp=c("24.09.2012 09:00:00", "24.09.2012 10:00:00", "24.09.2012 11:00:00"), Event=c("low","high","low") )
myframe$Timestamp <- as.POSIXct(strptime(myframe$Timestamp, format="%d.%m.%Y %H:%M:%S"))
expand<-data.frame(Timestamp=seq(myframe[1,1], myframe[3,1], by="5 mins"))
new <- merge(expand, myframe, all=T)
position <- which(new$Event=="high")
hhh <- c(position-1, position, position+1)
new$Event[hhh] <- "high"

If you merge this "new" data frame with your mydata and use na.locf to fill gaps you should get desired result.

Regards
Petr


> -----Original Message-----
> From: r-help-bounces at r-project.org [mailto:r-help-bounces at r-
> project.org] On Behalf Of Dagmar
> Sent: Thursday, October 02, 2014 11:25 PM
> Cc: R help
> Subject: Re: [R] merge by time, certain value if 5 min before and after
> an "event"
>
> Dear Jean and all,
>
> I want all lines to be "low", but during times 9:55 - 10:05 a.m (i.e. a
> timespan of 10 min) I want them to be "high".
> In my real data "low" and "high" refer to "lowtide" and "hightide" in
> the waddensea and I want to assign the location of my animal at the
> time it was taken to the tide (that means, there was water not only
> exactly at 10:00 (as taken from official data) but also 5 min before
> and after).
>
> I hope that is more understandable, if not ask again. Thanks for trying
> to help, Dagmar
>
> Am 02.10.2014 um 23:01 schrieb Adams, Jean:
> > Dagmar,
> >
> > Can you explain more fully why rows 1, 2, and 5 in your result are
> > "low" and rows 3 and 4 are "high"?  It is not clear to me from the
> > information you have provided.
> >
> > > result[c(1, 2, 5), ]
> >             Timestamp location Event
> > 1 24.09.2012 09:05:01        1 low
> > 2 24.09.2012 09:49:50        2 low
> > 5 24.09.2012 10:05:10        5 low
> >
> > > result[3:4, ]
> >             Timestamp location Event
> > 3 24.09.2012 09:51:01        3  high
> > 4 24.09.2012 10:04:50        1  high
> >
> > Jean
> >
> >
> > On Thu, Oct 2, 2014 at 8:13 AM, Dagmar <Ramgad82 at gmx.net
> > <mailto:Ramgad82 at gmx.net>> wrote:
> >
> >     Hello! I hope someone can help me. It would save me days of work.
> >     Thanks in
> >     advance!
> >     I have two dataframes which look like these:
> >
> >
> >     myframe <- data.frame (Timestamp=c("24.09.2012 09:00:00",
> "24.09.2012
> >     10:00:00",
> >     "24.09.2012 11:00:00"), Event=c("low","high","low") )
> >     myframe
> >
> >
> >     mydata <- data.frame ( Timestamp=c("24.09.2012 09:05:01",
> "24.09.2012
> >     09:49:50", "24.09.2012 09:51:01", "24.09.2012 10:04:50",
> "24.09.2012
> >     10:05:10")
> >     , location=c("1","2","3","1","5") )
> >     mydata
> >
> >
> >     # I want to merge them by time so I have a dataframe which looks
> >     like this
> >     in the end (i.e. "Low"  during 5 min before and after "high" )
> >
> >     result <- data.frame ( Timestamp=c("24.09.2012 09:05:01",
> "24.09.2012
> >     09:49:50", "24.09.2012 09:51:01", "24.09.2012 10:04:50",
> "24.09.2012
> >     10:05:10")
> >     , location=c("1","2","3","1","5") ,
> >     Event=c("low", "low","high","high","low"))
> >     result
> >
> >     Anyone knows how do merge them?
> >     Best regards,
> >     Dagmar
> >
> >     ______________________________________________
> >     R-help at r-project.org <mailto:R-help at r-project.org> mailing list
> >     https://stat.ethz.ch/mailman/listinfo/r-help
> >     PLEASE do read the posting guide
> >     http://www.R-project.org/posting-guide.html
> >     and provide commented, minimal, self-contained, reproducible
> code.
> >
> >
>
>
>       [[alternative HTML version deleted]]
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide http://www.R-project.org/posting-
> guide.html
> and provide commented, minimal, self-contained, reproducible code.

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