Re: [R] Curve fitting, probably splines

You could use the summation convention built into mgcv:gam for this. See ?linear.functional.terms for details, but here is some example code, both for the exact match, you describe, and a noisy version. best, Simon library(mgcv) f2 <- function(x) 0.2*x^11*(10*(1-x))^6+10*(10*x)^3*(1-x)^10 ## te

Re: [R] Curve fitting, probably splines

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 wrote: > Dear all, > > This is probably more related to statistics than to [R] but I hope someone > can give me an idea h

[R] Curve fitting, probably splines

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