Sexpr[results=rd,stage=build]{tools:::Rd_package_title("R2Cuba")}

Description

Author(s)

Maintainer: Sexpr[results=rd,stage=build]{tools:::Rd_package_maintainer("R2Cuba")}

References

The Cuba library is described at http://www.feynarts.de/cuba/. User documentation is available in T. Hahn (2005) CUBA-a library for multidimensional numerical integration. Computer Physics Communications, 168, 78-95. (http://arxiv.org/pdf/hep-ph/0404043).

See Also

The R-package “cubature”

Examples

integrand <- function(arg, weight) {
  x <- arg[1]
  y <- arg[2]
  z <- arg[3]
  ff <- sin(x)*cos(y)*exp(z);
return(ff)
} # end integrand
NDIM <-3
NCOMP <- 1
vegas(NDIM, NCOMP, integrand, rel.tol=1e-3,  abs.tol=1e-12)

Results

R version 3.3.1 (2016-06-21) -- "Bug in Your Hair"
Copyright (C) 2016 The R Foundation for Statistical Computing
Platform: x86_64-pc-linux-gnu (64-bit)

R is free software and comes with ABSOLUTELY NO WARRANTY.
You are welcome to redistribute it under certain conditions.
Type 'license()' or 'licence()' for distribution details.

R is a collaborative project with many contributors.
Type 'contributors()' for more information and
'citation()' on how to cite R or R packages in publications.

Type 'demo()' for some demos, 'help()' for on-line help, or
'help.start()' for an HTML browser interface to help.
Type 'q()' to quit R.

> library(R2Cuba)
> png(filename="/home/ddbj/snapshot/RGM3/R_CC/result/R2Cuba/R2Cuba-package.Rd_%03d_medium.png", width=480, height=480)
> ### Name: R2Cuba-package
> ### Title:
> ###   Sexpr[results=rd,stage=build]{tools:::Rd_package_title("R2Cuba")}
> ### Aliases: R2Cuba-package R2Cuba
> ### Keywords: package
> 
> ### ** Examples
> 
> integrand <- function(arg, weight) {
+   x <- arg[1]
+   y <- arg[2]
+   z <- arg[3]
+   ff <- sin(x)*cos(y)*exp(z);
+ return(ff)
+ } # end integrand
> NDIM <-3
> NCOMP <- 1
> vegas(NDIM, NCOMP, integrand, rel.tol=1e-3,  abs.tol=1e-12)
Iteration 1:  1000 integrand evaluations so far
[1] 0.664916 +- 0.0138647  	chisq 0 (0 df)
Iteration 2:  2500 integrand evaluations so far
[1] 0.664007 +- 0.00474411  	chisq 0.0038488 (1 df)
Iteration 3:  4500 integrand evaluations so far
[1] 0.664383 +- 0.00188845  	chisq 0.00717154 (2 df)
Iteration 4:  7000 integrand evaluations so far
[1] 0.665508 +- 0.000860144  	chisq 0.368573 (3 df)
Iteration 5:  10000 integrand evaluations so far
[1] 0.664489 +- 0.000639334  	chisq 0.990089 (4 df)
integral: 0.664489 (+-0.00064)
number of evaluations:  10000; probability:  0.08870493 
> 
> 
> 
> 
> 
> dev.off()
null device 
          1 
>