R: Create a Skeleton for a New Source Package

package.skeleton {utils} | R Documentation

## Create a Skeleton for a New Source Package

### Description

`package.skeleton` automates some of the setup for a new source package. It creates directories, saves functions, data, and R code files to appropriate places, and creates skeleton help files and a ‘Read-and-delete-me’ file describing further steps in packaging.

### Usage

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

### Arguments

`name` | character string: the package name and directory name for your package.
`list` | character vector naming the R objects to put in the package. Usually, at most one of `list`, `environment`, or `code_files` will be supplied. See ‘Details’.
`environment` | an environment where objects are looked for. See ‘Details’.
`path` | path to put the package directory in.
`force` | If `FALSE` will not overwrite an existing directory.
`namespace` | a logical, no longer used, and hence deprecated. A `NAMESPACE` file is always created to export all objects whose names begin with a letter, plus all S4 methods and classes.
`code_files` | a character vector with the paths to R code files to build the package around. See ‘Details’.

### Details

The arguments `list`, `environment`, and `code_files` provide alternative ways to initialize the package. If `code_files` is supplied, the files so named will be sourced to form the environment, then used to generate the package skeleton. Otherwise `list` defaults to the non-hidden files in `environment` (those whose name does not start with `.`), but can be supplied to select a subset of the objects in that environment.

Stubs of help files are generated for functions, data objects, and S4 classes and methods, using the `prompt`, `promptClass`, and `promptMethods` functions.

The package sources are placed in subdirectory `name` of `path`. If `code_files` is supplied, these files are copied; otherwise, objects will be dumped into individual source files. The file names in `code_files` should have suffix `".R"` and be in the current working directory.

The filenames created for source and documentation try to be valid for all OSes known to run R. Invalid characters are replaced by _, invalid names are preceded by zz, names are converted to lower case (to avoid case collisions on case-insensitive file systems) and finally the converted names are made unique by `make.unique(sep = "_")`. This can be done for code and help files but not data files (which are looked for by name). Also, the code and help files should have names starting with an ASCII letter or digit, and this is checked and if necessary `z` prepended.

When you are done, delete the ‘Read-and-delete-me’ file, as it should not be distributed.

### Value

Used for its side-effects.

### 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

`prompt`, `promptClass`, and `promptMethods`.

### Examples

    require(stats)
    ## two functions and two "data sets" :
    f <- function(x,y) x+y
    g <- function(x,y) x-y
    d <- data.frame(a=1, b=2)
    e <- rnorm(1000)

    package.skeleton(list=c("f","g","d","e"), name="mypkg")

[Package utils version 2.15.1 Index]