Hello Bill (and Petr and all),
Thank you very much! That was exactly what I was looking for! I could
have never accomplished that on my own.
Have a great time,
Tagmarie
Am 09.12.2015 um 18:07 schrieb William Dunlap:
You can use the approx() function (in that stats package) to put
5 equally s
You can use the approx() function (in that stats package) to put
5 equally spaced times between your high and low water times.
E.g., in the following 'tmp' will be your interpolated times, in seconds
since 1970, which I clumsily convert to POSIX times (I can never
remember how to deal with time zon
iginal Message-
From: R-help [mailto:r-help-boun...@r-project.org] On Behalf Of Dagmar
Sent: Thursday, December 03, 2015 11:52 AM
To: R help
Subject: [R] expand dataframe but time gap is not the same
Hello,
I hope someone can help me with my problem:
I have a dataframe like this:
datframe &l
Behalf Of Dagmar
> Sent: Thursday, December 03, 2015 11:52 AM
> To: R help
> Subject: [R] expand dataframe but time gap is not the same
>
> Hello,
> I hope someone can help me with my problem:
> I have a dataframe like this:
>
> datframe <- data.frame(dates=c("02.08.
Hello,
I hope someone can help me with my problem:
I have a dataframe like this:
datframe <- data.frame(dates=c("02.08.2013","03.08.2013","03.08.2013"),
times =c("22:10","4:04", "10:18"), tide =c("NW","HW", "NW"))
datframe
Timestamp <- paste(datframe$dates, datframe$times)
myframe2 <- cbind( Ti
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