Thanks for your reply. I know the exact values. The purpose is to find out the distribution function if it is exponential, linear, etc.
Best, Carol --- On Mon, 4/6/09, Ravi Varadhan <rvarad...@jhmi.edu> wrote: From: Ravi Varadhan <rvarad...@jhmi.edu> Subject: Re: [R] approximation function To: wht_...@yahoo.com Cc: r-h...@stat.math.ethz.ch Date: Monday, April 6, 2009, 1:39 PM Hi, At the sampling points, do you know the function value "exactly" or you only observe it with "noise"? If it is the former, you can use an interpolation scheme, such as, for example, interpSpline() in "splines" package. If it is the latter, you can use a smoother, such as, for example, smooth.spline() or loess(). Ravi. ____________________________________________________________________ Ravi Varadhan, Ph.D. Assistant Professor, Division of Geriatric Medicine and Gerontology School of Medicine Johns Hopkins University Ph. (410) 502-2619 email: rvarad...@jhmi.edu ----- Original Message ----- Date: Monday, April 6, 2009 4:16 pm Subject: [R] approximation function To: r-h...@stat.math.ethz.ch > Hi, > Having a set of values (non-time series data), what are the > approximation functions that could determine the trend of the values? > > Cheers, > > Carol > > > > [[alternative HTML version deleted]] > > ______________________________________________ > R-help@r-project.org mailing list > > PLEASE do read the posting guide > and provide commented, minimal, self-contained, reproducible code. [[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.