To check if your package passes the R CMD check and can be uploaded to cran, click. Once this done, the tarball file is create and the package is available for your own use. In the Build tab of the R Tools window, click.
PACKRAT R ON JUPYTER INSTALL
When all source files are added, you're ready to install and reload your package. Optionally, you can create the src directory if you have any C, C++, or Fortran sources. Read-and-delete-me: the package build instruction. NAMESPACE: the file that can contain one or more useDynLib directives which allows shared objects that need to be loaded.
PACKRAT R ON JUPYTER CODE
R: the directory that contains only R code files.ĭESCRIPTION: the file that contains basic information about the package in the specific format. Man: the directory that should contain documentation files for the objects in the package in R documentation ( *.Rd) format. Modify the source files and add all the required details according to the Writing R Extensions recommendations. The plugin has created all the required directories and template files. If you leave this setting unchanged, the default package managed will be used.Įxpand the project content root in the Project tool window. Expand More settings and select a package manager from the list: Packrat, Rcpp, RcppArmadillo, RcppEigen, or Devtools. A sample path to the R executable can be /usr/local/bin/R on macOS or C:\Program Files\R\R-3.6.1\bin\R.exe on Windows.Ĭhosen package manager: the primary tools for building R packages in the project. In the file system, select the R executable file.
Expand the Python interpreter area and click next to the Base interpreter field. This name is used to create a package title and construct filenames for all sources in the package. In the New Project dialog, select R Package from the available project types.
On the Welcome screen, click Create New Project
To create a project, do one of the following:įrom the main menu, choose File | New Project The plugin provides you with the dedicated project type and handy UI tools to build, check, and test your sources. With the R plugin for P圜harm, you can build your own R packages.
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