David:
Why do you say the OP wants a 503rd or 504th degree polynomial?
He/she wants an interpolating spline.
But that is precisely what "spline()" or "splinefun()" would give him/her.
So I don't understand the problem either!!!
To the OP:
What did you actually *do* to create your spline?
Did you use spline() or splinefun()? And if not, why not?
Do read the posting guide!
cheers,
Rolf
On 15/02/12 15:37, David Winsemius wrote:
On Feb 14, 2012, at 4:14 PM, Hasan Diwan wrote:
dput(sensor.sample)
structure(c(1328565718.65, 1328566608.9, 1328566162.65, 1328566571.1,
snipped 5 pages of data....
0.909395426580465, 0.806793813827552, 0.474927337412093,
-0.0383057034947468,
-0.454526719533217, -0.187379201707524, 0.249983084438962,
0.632832546743065,
-0.986399675507447, -0.970631383787144), .Dim = c(504L, 2L),
.Dimnames = list(
NULL, c("sensors.sample", "")))
What I'd like to do is get a spline through all the points.
On the face of it that seems to be an extraordinary request. So (not
for the first time) I must not be understanding something. Are you
really asking for assistance in constructing a 503rd or 504th degree
polynomial? And if you are, then why pose the question on a
statistics-oriented mailing list. We only deal in approximations to
the Truth.
I'm
thinking the spline function is my best approach. But a plot of the
spline and the points shows it does not cross every one perfectly. Do
I need to specify a particular method for this, or am I using the
wrong approach? Thanks in advance! -- H
--
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Envoyait de mon portable
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