On 14/11/2008 3:10 AM, Yihui Xie wrote:
But it's not _smooth_ (as Chris asked for)... I also thought about the
plot3d(), but I don't know how to smooth the 3D points. AFAIK spline
functions only work for 2D cases in R? (Sorry I'm not familiar with
splines)
There are lots of definitions of smooth. One easy one is to use splines
in each coordinate, with the independent variable being an implied time
coordinate 1, 2, 3, etc. That is (with only the first 4 points, I'm lazy):
x <- splinefun(1:4, c(25,12,2,2))
y <- splinefun(1:4, c(32,25,12,2))
z <- splinefun(1:4, c(40,32,25,12))
times <- seq(1, 4, len=200)
plot3d(x(times), y(times), z(times), type="l")
Duncan Murdoch
Regards,
Yihui
--
Yihui Xie <[EMAIL PROTECTED]>
Phone: +86-(0)10-82509086 Fax: +86-(0)10-82509086
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Homepage: http://www.yihui.name
School of Statistics, Room 1037, Mingde Main Building,
Renmin University of China, Beijing, 100872, China
On Wed, Nov 12, 2008 at 7:22 PM, Duncan Murdoch <[EMAIL PROTECTED]> wrote:
Chris Jarman wrote:
Hello,
I'm attempting to create a smooth, 3D plot of a trajectory (rather
than the cloud or wireframe functions). I would rather the individual
data points not be visible. I've had no luck finding this on the
graphics or help pages. Thank you in advance. Chris
Some example data, just in case:
25 32 40
12 25 32
2 12 25
2 2 12
20 2 2
1 20 2
6 1 20
5 6 1
5 5 6
plot3d(x,y,z, type='l') from rgl.
Duncan Murdoch
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