[R] 3-D interpretation

[David Carlson]

I guess you will have to give us a reproducible example. 
Are you still getting the same error message?

David

From: Shane Carey [mailto:careyshan at gmail.com] 
Sent: Tuesday, December 10, 2013 10:30 AM
To: dcarlson at tamu.edu
Cc: r-help at r-project.org
Subject: Re: [R] 3-D interpretation

Hey David,

I set it equal to the mean. duplicate="mean"

but still no joy,
Thanks

On Tue, Dec 10, 2013 at 4:28 PM, David Carlson
<dcarlson at tamu.edu> wrote:
The error says you have duplicate points in dat so you need to
set duplicate= to tell interp() how to handle them.

?interp

-------------------------------------
David L Carlson
Department of Anthropology
Texas A&M University
College Station, TX 77840-4352


-----Original Message-----
From: r-help-bounces at r-project.org
[mailto:r-help-bounces at r-project.org] On Behalf Of Shane Carey
Sent: Tuesday, December 10, 2013 9:36 AM
To: r-help at r-project.org
Subject: [R] 3-D interpretation

Hi,

im trying to create a 3-D interpretation of a geological fault
using
the akima package. But my code fails below highlighted in red:
Does anyone have any ideas why this is.

Thanks

dat<-read.delim("D:\\fault.txt",header=T,sep=",")
library(rgl)
# data
rgl.spheres(dat$X,dat$Z , dat$Y,1,color="red")
rgl.bbox()
# bivariate linear interpolation
# interp:
akima.li <- interp(dat$X, dat$Y, dat$Z,
                   xo=seq(min(dat$X), max(dat$X), length = 100),
                   yo=seq(min(dat$Y), max(dat$Y), length = 100))

This is my error:
Error in interp.old(x, y, z, xo = xo, yo = yo, ncp = 0, extrap =
extrap,  :
duplicate data points: need to set 'duplicate = ..'

# interp surface:
rgl.surface(akima.li$X,akima.li$Y,akima.li$Z,color="green",alpha
=c(0.5))
# interpp:
akima.p <- interpp(dat$X, dat$Y, dat$Z,
                   runif(200,min(dat$X),max(dat$X)),
                   runif(200,min(dat$Y),max(dat$Y)))
# interpp points:
rgl.points(akima.p$X,akima.p$Z ,
akima.p$Y,size=4,color="yellow")
# bivariate spline interpolation
# data
rgl.spheres(dat$X,dat$Z ,dat$Y,0.5,color="red")
rgl.bbox()
# bivariate cubic spline interpolation
# interp:
akima.si <- interp(dat$X, dat$Y, dat$Z,
                   xo=seq(min(dat$X), max(dat$X), length = 100),
                   yo=seq(min(dat$Y), max(dat$Y), length = 100),
                   linear = FALSE, extrap = TRUE)






--
Shane
        [[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.




-- 
Shane