Hi Ravi, Thanks for your response. I already considered the change of variables but I was wondering if there were already a function in R which do the same thing in an optimized way. My function f(x) is complicated so adding a change of variable makes the algorithm takes a lot of time to give outputs. Thanks, Iazaiez. ________________________________________ From: Ravi Varadhan [rvarad...@jhmi.edu] Sent: Wednesday, April 14, 2010 12:50 PM To: Ines Azaiez; r-help-boun...@stat.math.ethz.ch; r-help@r-project.org Subject: RE: [R] Gaussian Quadrature Numerical Integration In R
Just do a variable transformation. If your function is f(x), your new function would be: f'(x) = sigma * f(sigma * x + mu). You can integrate f'(x) using the Hermite quadrature. Ravi. -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of Ines Azaiez Sent: Tuesday, April 13, 2010 9:25 PM To: r-help-boun...@stat.math.ethz.ch; r-help@r-project.org Subject: [R] Gaussian Quadrature Numerical Integration In R Hi All, I am trying to use A Gaussian quadrature over the interval (-infty,infty) with weighting function W(x)=exp(-(x-mu)^2/sigma) to estimate an integral. Is there a way to do it in R? Is there a function already implemented which uses such weighting function. I have been searching in the statmode package and I found the function "gauss.quad(100, kind="hermite")" which uses the weighting function W(x)=exp(-x^2). Is there a more general version of this weighting function (using mu and sigma)? Thanks for your help Iazaiez ______________________________________________ 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.