Have you looked at the 'fda' package? It has many functions for
doing what you want. A strength is that it is a companion package for
two books on that and related issues, and includes script files under
"~R.installation.directory\library\fda\scripts" to reproduce some of the
analyses. It may include more than you want to consider, but for me,
too much is usually better than nothing.
hope this helps.
Spencer Graves
p.s. If you try it and have trouble, please submit another question
including commented, minimal, self-contained, reproducible code, as
requested in the posting guide
http://www.R-project.org/posting-guide.html.
Levi Waldron 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.
>
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> and provide commented, minimal, self-contained, reproducible code.
>
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