Weird -- the email was sent through my gmail account, looks like the .csvs got intercepted somewhere along the way. At any rate, I placed them on a website:

http://cstars.ucdavis.edu/~jongreen/temp/temporal_join_R/

--j

Gabor Grothendieck wrote:
There was nothing attached.

On Mon, Mar 16, 2009 at 3:11 PM, Jonathan Greenberg
<greenb...@ucdavis.edu> wrote:
Sorry for the immediate follow-up, but Phil Spector correctly reminded me
this is a lot easier for the community I provide some sample data, so I'm
attaching 3 small CSVs to this email:

species_data_Rexample.csv contains the "field data" (which species was ID'd
and what time it was ID'd),
temperature_data_Rexample.csv contains the date, time, station ID and the
temperature "value"

I'd like a dataframe which contains for each unique line in
species_data_Rexample.csv, a series of lines, one per station, and the
temperature of the nearest time stamp, or an interpolated value (weighted
average would be fine, but so would just grabbing the nearest value), so for
this example I'd like something that looks like the csv
"fused_data_Rexample.csv"

Thanks!

--j

Jonathan Greenberg wrote:
I've been playing with zoo a bit, and it seems ok except it doesn't
support non-unique time stamps when performing joins.  I have two databases
which contain a dataframe of a Date object (with the time, not just
MM/DD/YY), e.g.:

DB 1:
UniqueID,Date1,Data 1,Data 2

DB 2:
Date2, Station, Data 3

We'll say Station can contain three values: A,B and C

DB 1 may have some repeat times, and DB 2 definitely has them -- although
each Date, Station combo is unique (this DB contains weather data collected
on the half-hour or fifteen minute interval at a set of stations).  I'd like
DB2's station and Data3 to be joined with DB1 based on the nearest time
stamp (interpolating Data3 or not).

Ideally, I'd like a fused database such that I get for each uniqueID in
DB1:

UniqueID,Date,Data1,Data2,Station,Data3

Thoughts?  Hints?

--j



______________________________________________
R-help@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.



--

Jonathan A. Greenberg, PhD
Postdoctoral Scholar
Center for Spatial Technologies and Remote Sensing (CSTARS)
University of California, Davis
One Shields Avenue
The Barn, Room 250N
Davis, CA 95616
Cell: 415-794-5043
AIM: jgrn307, MSN: jgrn...@hotmail.com, Gchat: jgrn307

______________________________________________
R-help@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.

Reply via email to