[R] Adapt function
Ravi Varadhan
rvaradhan at jhmi.edu
Thu Oct 8 20:23:35 CEST 2009
Harold,
Try this:
ff <- function(x) x[1]*x[2]^2
adapt(2, lo = c(0,0), up = c(1,2), fun = ff)
The answer should be 4/3, since the first variable is integrated from 0 to 1 and the second variable (second-degree) is integrated from 0 to 2.
The answer is 1/3, if you do,
adapt(2, lo = c(0,0), up = c(2,1), fun = ff)
Ravi.
____________________________________________________________________
Ravi Varadhan, Ph.D.
Assistant Professor,
Division of Geriatric Medicine and Gerontology
School of Medicine
Johns Hopkins University
Ph. (410) 502-2619
email: rvaradhan at jhmi.edu
----- Original Message -----
From: "Doran, Harold" <HDoran at air.org>
Date: Thursday, October 8, 2009 1:14 pm
Subject: [R] Adapt function
To: r-help at r-project.org
> I am trying to use the adapt function in the package adapt. To make sure
> I am using it correctly, I am trying a toy example that should yield a
> result of 2/3.
>
> Suppose the function is f(x,y) = x*y^2 and I want to integrate over f
> as
>
> Int_0^1 Int_0^2 x*y^2 dxdy
>
> Where the limits of integration for y are 0 to 1 and the limits for x
> are 0 to 2. So, I tried
>
> ff <- function(xy) x*y^2
> adapt(2, lo = c(0,0), up = c(1,2), fun = ff)
>
> And this produces
>
> > adapt(2, lo = c(0,0), up = c(1,2), fun = ff)
> value relerr minpts lenwrk ifail
> 2 7.38275e-08 165 73 0
>
> Can anyone offer insight into my error?
>
> Harold
>
>
>
> > sessionInfo()
> R version 2.9.0 (2009-04-17)
> i386-pc-mingw32
>
> locale:
> LC_COLLATE=English_United States.1252;LC_CTYPE=English_United
> States.1252;LC_MONETARY=English_United
> States.1252;LC_NUMERIC=C;LC_TIME=English_United States.1252
>
> attached base packages:
> [1] stats graphics grDevices utils datasets methods base
>
>
> other attached packages:
> [1] adapt_1.0-4
>
> loaded via a namespace (and not attached):
> [1] tools_2.9.0
>
> ______________________________________________
> R-help at r-project.org mailing list
>
> PLEASE do read the posting guide
> and provide commented, minimal, self-contained, reproducible code.
More information about the R-help
mailing list