?approxfun > x<- c(-100.4, 32.0, 99.8, 200.2, 300.6, 399.8, 500.0, 600.0, 699.6, 799.6, + 899.8) > y<- c(0.4, 0.0, 0.2, -0.2, -0.6, 0.2, 0.0, 0.0, 0.4, 0.4, 0.2) > x.f <- approxfun(x,y) > x.f(356) [1] -0.1532258
On 2/25/06, Eric C. Jennings <[EMAIL PROTECTED]> wrote: > > >From actual real-world readings, I have two vectors: > > x<- c(-100.4, 32.0, 99.8, 200.2, 300.6, 399.8, 500.0, 600.0, 699.6, 799.6, > 899.8) > y<- c(0.4, 0.0, 0.2, -0.2, -0.6, 0.2, 0.0, 0.0, 0.4, 0.4, 0.2) > > which, in the usual way constitute a continuous piecewise function. > > What I want to do is find an easy method to get at f(x) for some x I have > NOT specified in the above vector. For example I want f(356). > > I have already put the time and effort in to write a program to compute > this > by breaking the function into the various pieces and computing the slopes > of > the individual lines etc. etc. > > I am just looking to find an easier method. > > Thank you for your help. > Eric > > ______________________________________________ > R-help@stat.math.ethz.ch mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guide! > http://www.R-project.org/posting-guide.html > -- Jim Holtman Cincinnati, OH +1 513 646 9390 What the problem you are trying to solve? [[alternative HTML version deleted]] ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide! http://www.R-project.org/posting-guide.html
