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...library(gstat) ?krige see argument 'maxdist' Hope this can help, Kind regards Patrick Giraudoux -- Department of Environmental Biology EA3184 usc INRA University of Franche-Comte 25030 Besancon Cedex (France) tel. +33 381 665 745 fax +33 381 665 797 http://lbe.univ-fcomte.fr Aaron Swoboda a 侀crit : > Dear Sir: > > > I ran across your post to the R-help archive from February 9it is > attached below since it was nearly two years ago!). I am beginning to > learn R and am interested in analyzing some of my data in a spatial > context. I am having a problem that...

I would like to know which rows are duplicates of each other, not simply that a row is duplicate of another row. In the following example rows 1 and 3 are duplicates. > x <- c(1,3,1) > y <- c(2,4,2) > z <- c(3,4,3) > data <- data.frame(x,y,z) x y z 1 1 2 3 2 3 4 4 3 1 2 3 I can't figure out how to get R to tell me that observation 1 and 3 are the same.

I would like to know which rows are duplicates of each other, not simply that a row is duplicate of another row. In the following example rows 1 and 3 are duplicates. > x <- c(1,3,1) > y <- c(2,4,2) > z <- c(3,4,3) > data <- data.frame(x,y,z) x y z 1 1 2 3 2 3 4 4 3 1 2 3 I can't figure out how to get R to tell me that observation 1 and 3 are the same.

...lls". > > Any suggestions? If your function f is linear, then you can use lpSolve. Paul ------------------------------ Message: 5 Date: Mon, 30 Mar 2009 11:51:29 +0100 From: Michael Dewey <info@aghmed.fsnet.co.uk> Subject: Re: [R] which rows are duplicates? To: "Aaron M. Swoboda" <aaron.swoboda@gmail.com>, r-help@r-project.org Message-ID: <Zen-1LoF5b-0003BD-Rf@smarthost01.mail.zen.net.uk> Content-Type: text/plain; charset="us-ascii"; format=flowed At 05:07 30/03/2009, Aaron M. Swoboda wrote: >I would like to know which rows are duplicates of...

Hello, I am switching to R from Stata and I am having particular trouble with the transition from Stata's 'xtabond' and 'ivreg' commands to the "plm" package. I am trying to replicate some of the dynamic panel data work using the UK Employment data in Arellano and Bond (1991) and available as 'EmplUK' under the 'plm' package. I have been

I am performing a locally weighted regression model using housing data, where I only include observations within a certain distance of the house in question. For cross-validation of the bandwidth I am collecting elements of the "hat matrix" (where y hat=hat matrix *y). I was convinced I could grab the diagonal elements for the hat matrix using lm.influence()$hat. In