This sounds like possibly using logsplines may be what you want. See the 'oldlogspline' function in the 'logspline' package.
On Thu, Apr 12, 2012 at 7:45 AM, Michael Haenlein <haenl...@escpeurope.eu> wrote: > Dear all, > > This is probably more related to statistics than to [R] but I hope someone > can give me an idea how to solve it nevertheless: > > Assume I have a variable y that is a function of x: y=f(x). I know the > average value of y for different intervals of x. For example, I know that > in the interval[0;x1] the average y is y1, in the interval [x1;x2] the > average y is y2 and so forth. > > I would like to find a line of minimum curvature so that the average values > of y in each interval correspond to y1, y2, ... > > My idea was to use (cubic) splines. But the problem I have seems somewhat > different to what is usually done with splines. As far as I understand it, > splines help to find a curve that passes a set of given points. But I don't > have any points, I only have average values of y per interval. > > If you have any suggestions on how to solve this, I'd love to hear them. > > Thanks very much in advance, > > Michael > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@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. -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ R-help@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.