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Re: 3D contour plot

To: Shuxia Yu <ysxzh@163.com>
Subject: Re: 3D contour plot
From: Spencer Graves <spencer.graves@pdf.com>
Date: Sun, 19 Sep 2004 21:03:28 -0700
Cc: s-news@lists.biostat.wustl.edu
In-reply-to: <414D479C.000040.15676@m222.163.com>
References: <414D479C.000040.15676@m222.163.com>
User-agent: Mozilla/5.0 (Windows; U; Windows NT 5.0; en-US; rv:1.4) Gecko/20030624 Netscape/7.1 (ax)
Have you considered the following [from Venables and Ripley (2002)
Modern Applied Statistics with S, 4th ed. (Springer, p. 76, sec. 4.2):

library(MASS)
topo.loess <- loess(z~x*y, topo, degree=2, span=0.25)
topo.mar <- list(x=seq(0, 6.5, .2), y=seq(0, 6.5, .2))
topo.lo <- predict(topo.loess, expand.grid(topo.mar))
par(pty="s")
contour(topo.mar$x, topo.mar$y, topo.lo, xlab="", ylab="",
levels=seq(700, 1000, 25), cex=0.7)

hope this helps. spencer graves

Shuxia Yu wrote:

>Dear all,
>
>I don't know how to operate on the following data (a very small part of a data 
>set) to generate an 3D contour plot. In the following data, X, Y and Z is the 
>point coordinate in 3D space, and W is the response. I hope to get a contour 
>plot of W in the 3D space. I don't know if it's possible in S+.
>
>Any suggestions will be really appreciated.
>
>Best regards,
>Jinsong
>
>  
>
>>a
>>    
>>
>    X   Y   Z   W 
> 1 -8 -10 -10  1.5
> 2 -7 -10  -9  1.5
> 3 -6 -10  -8 -1.5
> 4 -5 -10  -7  1.5
> 5 -4 -10  -6 -1.5
> 6 -3 -10  -5 -1.5
> 7 -2 -10  -4  1.5
> 8 -1 -10  -3  1.5
> 9  0 -10  -2 -1.5
>10  1 -10  -1  1.5
>11  2 -10   0 -1.5
>12  3 -10   1  1.5
>13  4 -10   2  1.5
>14  5 -10   3  1.5
>15  6 -10   4  1.5
>16  7 -10   5 -1.5
>17  8 -10   6 -1.5
>18 -8  -9   7  1.5
>19 -7  -9   8 -1.5
>20 -6  -9   9  1.5
>
>
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-- 
Spencer Graves, PhD, Senior Development Engineer
O:  (408)938-4420;  mobile:  (408)655-4567



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