Check out ?splinefun
On Wed, Mar 5, 2008 at 3:18 PM, Levi Waldron <[EMAIL PROTECTED]> wrote: > What functions exist for differentiating a numeric vector (in my case > spectral data)? That is, experimental data without an analytical > function. ie, > > > x <- seq(1,10,0.1) > > y=x^3+rnorm(length(x),sd=0.01) #although the real function would be > > nothing simple like x^3... > > derivy <- .... > > I know I could just use diff(y) but it would be nice to estimate > derivatives at the endpoints, calculate higher-order derivatives, and > maybe have some smoothing options ie by differentiating a spline or > something like that. > > ______________________________________________ > 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. > ______________________________________________ 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.
