In contrast to other programming languages, R has no widely established and undisputed style guide (e.g. PEP 8 for Python). As a data scientist at STATWORX, I helped to establish a company wide R style guide. While it mainly relies on the tidyverse style guide, we generally decided to be more explicit in our coding practice. This includes that we always refer to functions from non-native R packages with the double colon operator ::
. While it is relatively easy to establish such a convention in new projects, it is challenging to adapt ongoing projects and legacy code. origin
allows for much faster conversions of both legacy code as well as currently written code.
origin
The sole purpose is to add pkg::
to an R function call, i.e. it changes code like this:
origin
In general, you can either originize some selected text (more on that later in Addins), a whole script, or a all scripts in a specific folder, e.g. your project folder. There is a specifically designed function for each purpose yet they all share the same options. Therefore, only originize_file()
is extensively presented as an example with its default options.
originize_file(file = "testscript.R",
pkgs = .packages(),
overwrite = TRUE,
ask_before_applying_changes = TRUE,
ignore_comments = TRUE,
check_conflicts = TRUE,
add_base_packages = FALSE,
check_base_conflicts = TRUE,
check_local_conflicts = TRUE,
excluded_functions = list(dplyr = c("%>%", "across"),
data.table = c(":=", "%like%"),
# exclude from all packages:
c("first", "last")),
verbose = TRUE,
use_markers = TRUE)
pkgs
: which packages to check for functions used in the code (see Considered Packages). The default are all packages attached via library
or require
overwrite
: actually insert pkg::
into the code. Otherwise, logging shows only what would happen. Note that ask_before_applying_changes
still allows to keep control over your code before origin
changes anything.ask_before_applying_changes
: whether changes should be applied immediately or the user must approve them first.ignore_comments
: should comments be ignored.check_conflicts
: should origin
check for potential namespace conflicts, i.e. a used function is defined in more than one considered package. User input is required to solve the issue. Strongly encouraged to be set to TRUE
.add_base_packages
: should base packages also be added, e.g. base::sum()
.check_base_conflicts
: Should origin also check for conflicts with base R functions.check_local_conflicts
: Should origin also check for conflicts with locally defined functions anywhere in your project? Note that it does not check the environment but solely parses files and scans them for function definitions.excluded_functions
: a (named) list of functions to exclude from checking.verbose
: some sort of logging is performed, either in the console or via the markers tab in RStudio.use_markers
: whether to use the Markers tab in RStudio.Besides using regular R functions to originize files, there are also useful addins delivered with origin
. These addins are designed to be used on-the-fly while coding. You can either originize selected text, the currently opened file, or all scripts in the currently opened project. However, to have as much control as when using functions, each function argument corresponds to an option that can be set and used inside the addins, e.g.
options(origin.pkgs = c("dplyr", "data.table"),
origin.overwrite = TRUE)
Actually, most function arguments of origin
first check whether an option has been declared and uses the assigned value as its default. This allows for equal outcomes regardless whether you use the addin or a function sequentially.
Since origin
changes files on disk, it is very important that the user has full control over what happens and user input is required before critical steps.
Most importantly, the user must be aware of what the originized file(s) would look like. For this, all changes and potential missed changes are presented, either in the Markers tab (recommended) or in the console.