Thank you Jean, Petr, Terry, William and everyone else who thought about
my problem.
It is sooo good that this mailing list exists!
I solved my problem using Petr's suggestion, that didn't seem so
complicated and worked fine for me.
Thanks again and have a great weekend,
Dagmar
Am 02.10.2014
Hi Terry,
Some of that combination of sort() and approx() can be done by
findInterval(), which may be quick enough that you don't need the
'thinning' part of the code.
Bill Dunlap
TIBCO Software
wdunlap tibco.com
On Fri, Oct 3, 2014 at 6:05 AM, Therneau, Terry M., Ph.D.
wrote:
> I've attached
I've attached two functions used locally. (The attachments will be stripped off of the
r-help response, but the questioner should get them). The functions "neardate" and
"tmerge" were written to deal with a query that comes up very often in our medical
statistics work, some variety of "get the
our mydata and use na.locf to fill
gaps you should get desired result.
Regards
Petr
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Dagmar
> Sent: Thursday, October 02, 2014 11:25 PM
> Cc: R help
> Subject: Re: [R]
e.g. by
?complete.cases
Regards
Petr
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-bounces@r-
> project.org] On Behalf Of Adams, Jean
> Sent: Thursday, October 02, 2014 11:38 PM
> To: Dagmar
> Cc: R help
> Subject: Re: [R] merge by time, certain va
Thanks, Dagmar.
So, shouldn't row 3 with a time of 09:51:01 be "low" and not "high"?
Jean
On Thu, Oct 2, 2014 at 4:25 PM, Dagmar wrote:
> 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
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
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 09:05:011 low
2 24.09.2012 09:49:50
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
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