Learn R Programming

RcppArmadillo (version 14.0.0-1)

RcppArmadillo.package.skeleton: Create a skeleton for a new package that intends to use RcppArmadillo

Description

RcppArmadillo.package.skeleton automates the creation of a new source package that intends to use features of RcppArmadilo.

It is based on the package.skeleton function which it executes first.

Usage

RcppArmadillo.package.skeleton(name = "anRpackage", list = character(), 
	environment = .GlobalEnv, path = ".", force = FALSE, 
	code_files = character(), example_code = TRUE)

Value

Nothing, used for its side effects

Arguments

name

See package.skeleton

list

See package.skeleton

environment

See package.skeleton

path

See package.skeleton

force

See package.skeleton

code_files

See package.skeleton

example_code

If TRUE, example c++ code using RcppArmadillo is added to the package

Details

In addition to package.skeleton :

The DESCRIPTION file gains a Depends line requesting that the package depends on Rcpp and RcppArmadillo and a LinkingTo line so that the package finds Rcpp and RcppArmadillo header files.

The NAMESPACE, if any, gains a useDynLib directive.

The src directory is created if it does not exists and a Makevars file is added setting the environment variable PKG_LIBS to accomodate the necessary flags to link with the Rcpp library.

If the example_code argument is set to TRUE, example files rcpparma_hello_world.h and rcpparma_hello_world.cpp are also created in the src. An R file rcpparma_hello_world.R is expanded in the R directory, the rcpparma_hello_world function defined in this files makes use of the C++ function rcpparma_hello_world defined in the C++ file. These files are given as an example and should eventually by removed from the generated package.

References

Read the Writing R Extensions manual for more details.

Once you have created a source package you need to install it: see the R Installation and Administration manual, INSTALL and install.packages.

See Also

Examples

Run this code
if (FALSE) {
RcppArmadillo.package.skeleton( "foobar" )
}

Run the code above in your browser using DataLab