Use dependencies in R packages through library() / Description file

Question

I'm writing an R package that has several dependencies of other packages, some of them are available in CRAN and other ones are homemade.

According to the help, library("my_package") will load the namespace of the package once I have previously installed it, i.e, install.package("my_package").

Nevertheless, once I have installed the package I am able to use all the functions of the installed but not loaded package through my_package::my_function(), so if my package has dependencies, beside adding those into DESCRIPTION file:

Imports:
    dplyr,
    my_package2,
    ggvis,

in the root of the package folder. Do I have to load the dependencies of the new package through library() or the final user will see an error if he has not installed on his computer as the required packages are specified in the Imports section?

Answer 1

No, the user does not have to load the packages that are used by functions in my_package.

The fact that you have listed a package under Imports: in the DESCRIPTION file means that during the installation of my_package, R will check that this package is available on your system. This means then that functions in my_package can use functions from these packages using the :: notation, as you suggested.

Using the :: notation is the recommended way to refer to functions from other packages, but there are also other options:

• In order to make all the functions from, say, dplyr accessable without :: in my_package, you could add import(dplyr) to the NAMESPACE file. This is convenient, if you use many functions from a package.

• If you intend to use only, say, the function select from dplyr, you could add importFrom(select, dplyr) to the NAMESPACE file.

• You could also add the package to the DESCRIPTION file under Depends:. This would mean that the package is loaded to the global environment when you use library(my_package). This is almost never a good solution.

The general idea of dependencies is R is that my_package will have "it's own version" of the packages it depends on loaded. Therefore, you can always be sure that you will, e.g., use the function select() from the dplyr package, as you intended to do. The exception is the use of Depends: which bypasses this system. In this case, my_package will look for functions in the global environment and if somebody should have defined some function called select() in the global environment, my_package will use this function and you will get unexpected results.

Example 1:

DESCRIPTION file:

Imports:
    dpylr

some function from my_package:

my_fun <- function(...) {
    dplyr::mutate(...) %>%
    dplyr::select(1:3)
}

Example 2:

DESCRIPTION file:

Imports:
    dpylr

NAMESPACE file:

import(dplyr)

some function from my_package:

my_fun <- function(...) {
    mutate(...) %>%
    select(1:3)
}

Example 3:

DESCRIPTION file:

Imports:
    dpylr

NAMESPACE file:

importFrom(dplyr,select)

some function from my_package:

my_fun <- function(...) {
    dpylr::mutate(...) %>%
    select(1:3)
}

You find more detailed explanations of how to handle dependencies in R packages on the web. For instance the following are useful:

• On the DESCRIPTION file
• On the NAMESPACE file

Also, it is not necessary to write the NAMESPACE file by hand. You can let roxygen2 do that for you. Read the documentation for more information.