My first thought was to use Reduce, but I think for this case that is a bit of overkill. You can have a vector or list of functions and just use sapply/lapply on the list of functions then sum the result. A quick example:
> funs <- c(sin,cos,tan) > sapply( funs, function(f) f(pi/6) ) [1] 0.5000000 0.8660254 0.5773503 > sum(sapply( funs, function(f) f(pi/6) )) [1] 1.943376 Just wrap the above in a function with whatever options you want to use. If you need the functions to return vectors (of the same length) then you can still use sapply, but use rowSums, colSums, or apply on the result instead of sum. On Thu, Dec 19, 2013 at 12:05 PM, Onur Uncu <onuru...@gmail.com> wrote: > > Dear R Users > > I have a list of functions. Each function in the list is a function of single > variable. I would like to create a function (of one variable) which > represents the sum of all the functions in the list. So, if the functions in > my list are f1(x),..,f5(x) then I would like a new function > f(x)=f1(x)+f2(x)+...f5(x) > > Appreciate any suggestions on how to do this. > > I need the above f(x) function because I would like to minimise it with > respect to x using the nlm function. > > Thanks. > ______________________________________________ > 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. -- Gregory (Greg) L. Snow Ph.D. 538...@gmail.com ______________________________________________ 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.
