Logical, whether to restrict the output to just targets (FALSE) or to also include global functions and objects.

Names of targets. The graph visualization will operate only on these targets (and unless shortcut is TRUE, all the targets upstream as well). Selecting a small subgraph using names could speed up the load time of the visualization. Unlike allow, names is invoked before the graph is generated. Set to NULL to check/build all the targets (default). Otherwise, you can supply symbols or tidyselect helpers like starts_with(). Applies to ordinary targets (stem) and whole dynamic branching targets (patterns) but not individual dynamic branches.

Logical of length 1, how to interpret the names argument. If shortcut is FALSE (default) then the function checks all targets upstream of names as far back as the dependency graph goes. If TRUE, then the function only checks the targets in names and uses stored metadata for information about upstream dependencies as needed. shortcut = TRUE increases speed if there are a lot of up-to-date targets, but it assumes all the dependencies are up to date, so please use with caution. Also, shortcut = TRUE only works if you set names.

Optional, define the set of allowable vertices in the graph. Unlike names, allow is invoked only after the graph is mostly resolved, so it will not speed up execution. Set to NULL to allow all vertices in the pipeline and environment (default). Otherwise, you can supply symbols or tidyselect helpers like starts_with().

Optional, define the set of exclude vertices from the graph. Unlike names, exclude is invoked only after the graph is mostly resolved, so it will not speed up execution. Set to NULL to exclude no vertices. Otherwise, you can supply symbols or tidyselect helpers like all_of() and starts_with().

Logical, whether to show colors to distinguish outdated targets from up-to-date targets. (Global functions and objects still show these colors.) Looking for outdated targets takes a lot of time for large pipelines with lots of branches, and setting outdated to FALSE is a nice way to speed up the graph if you only want to see dependency relationships and build progress.

Character vector of one or more aesthetics to add to the vertex labels. Can contain "time" to show total runtime, "size" to show total storage size, or "branches" to show the number of branches in each pattern. You can choose multiple aesthetics at once, e.g. label = c("time", "branches"). All are disabled by default because they clutter the graph.

Numeric of length 1, levelSeparation argument of visNetwork::visHierarchicalLayout(). Controls the distance between hierarchical levels. Consider changing the value if the aspect ratio of the graph is far from 1. If level_separation is NULL, the levelSeparation argument of visHierarchicalLayout() defaults to 150.

Integer of length 1. When you click on a node, the graph highlights a neighborhood of that node. degree_from controls the number of edges the neighborhood extends upstream.

Integer of length 1. When you click on a node, the graph highlights a neighborhood of that node. degree_to controls the number of edges the neighborhood extends downstream.

Character of length 1, name of the reporter to user. Controls how messages are printed as targets are checked. Choices:

• "silent": print nothing.

• "forecast": print running totals of the checked and outdated targets found so far.

A function from callr to start a fresh clean R process to do the work. Set to NULL to run in the current session instead of an external process (but restart your R session just before you do in order to clear debris out of the global environment). callr_function needs to be NULL for interactive debugging, e.g. tar_option_set(debug = "your_target"). However, callr_function should not be NULL for serious reproducible work.

A list of arguments to callr_function.

An environment, where to run the target R script (default: _targets.R) if callr_function is NULL. Ignored if callr_function is anything other than NULL. callr_function should only be NULL for debugging and testing purposes, not for serious runs of a pipeline, etc.

The envir argument of tar_make() and related functions always overrides the current value of tar_option_get("envir") in the current R session just before running the target script file, so whenever you need to set an alternative envir, you should always set it with tar_option_set() from within the target script file. In other words, if you call tar_option_set(envir = envir1) in an interactive session and then tar_make(envir = envir2, callr_function = NULL), then envir2 will be used.

Character of length 1, path to the target script file. Defaults to tar_config_get("script"), which in turn defaults to _targets.R. When you set this argument, the value of tar_config_get("script") is temporarily changed for the current function call. See tar_script(), tar_config_get(), and tar_config_set() for details about the target script file and how to set it persistently for a project.

Character of length 1, path to the targets data store. Defaults to tar_config_get("store"), which in turn defaults to _targets/. When you set this argument, the value of tar_config_get("store") is temporarily changed for the current function call. See tar_config_get() and tar_config_set() for details about how to set the data store path persistently for a project.