Thanks. But then how to implement condition like 0<x1<x2<7? I would be happy to know that.
On 8 January 2013 18:41, David Winsemius <dwinsem...@comcast.net> wrote: > Please reply on list. > > > On Jan 8, 2013, at 10:27 AM, Naser Jamil wrote: > > Hi David, >> x[2] is the second variable, x2. It comes from the condition 0<x1<x2<7. >> > > No, it doesn't come from those conditions. It is being grabbed from some > "x"-named object that exists in your workspace. > > If your limits were 7 in both dimensions, then the code should be: > > adaptIntegrate(f, lowerLimit = c(0, 0), upperLimit = c(7,7)) > #---- > $integral > [1] 228.6667 > > (At this point I was trusting R's calculus abilities more than yours. I > wasn't too trusting of mine either, and so tried seeing if Wolfram Alpha > would accept this expression: > integrate 2/3 (x+y) over 0< x<7, 0<y<7 > > ; which it did and calculating the decimal expansion of the exact fraction: > > > 686/3 > [1] 228.6667 > > > > -- > David. > > > > >> Thanks. >> >> On 8 January 2013 18:11, David Winsemius <dwinsem...@comcast.net> wrote: >> >> On Jan 8, 2013, at 9:43 AM, Naser Jamil wrote: >> >> Hi R-users. >> >> I'm having difficulty with an integration in R via >> the package "cubature". I'm putting it with a simple example here. I wish >> to integrate a function like: >> f(x1,x2)=2/3*(x1+x2) in the interval 0<x1<x2<7. To be sure I tried it >> by hand and got 114.33, but the following R code is giving me 102.6667. >> >> ------------------------------**------------------------------**------- >> library(cubature) >> f<-function(x) { 2/3 * (x[1] + x[2] ) } >> adaptIntegrate(f, lowerLimit = c(0, 0), upperLimit = c(x[2],7)) >> >> >> What is x[2]? On my machine it was 0.0761, so I obviously got a >> different answer. >> >> -- >> David Winsemius, MD >> Alameda, CA, USA >> >> >> > David Winsemius, MD > Alameda, CA, USA > > [[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.