package.skeleton package:utils R Documentation _C_r_e_a_t_e _a _S_k_e_l_e_t_o_n _f_o_r _a _N_e_w _S_o_u_r_c_e _P_a_c_k_a_g_e _D_e_s_c_r_i_p_t_i_o_n: '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. _U_s_a_g_e: package.skeleton(name = "anRpackage", list, environment = .GlobalEnv, path = ".", force = FALSE, namespace = FALSE, code_files = character()) _A_r_g_u_m_e_n_t_s: 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 indicating whether to add a name space for the package. If 'TRUE', a 'NAMESPACE' file is 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'. _D_e_t_a_i_l_s: 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', 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. _V_a_l_u_e: Used for its side-effects. _R_e_f_e_r_e_n_c_e_s: 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'. _S_e_e _A_l_s_o: 'prompt', 'promptClass', and 'promptMethods'. _E_x_a_m_p_l_e_s: 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")