build_times = "build",
digits = 3,
targets_only = FALSE,
main = NULL,
from = NULL,
mode = c("out", "in", "all"),
order = NULL,
subset = NULL,
make_imports = TRUE,
from_scratch = FALSE,
full_legend = FALSE,
group = NULL,
clusters = NULL
Character string or logical.
If character, the choices are
"build": runtime of the command plus the time
it take to store the target or import.
"command": just the runtime of the command.
"none": no build times.
build_times selects whether to show the
times from `build_times(..., type = "build")`` or use
no build times at all. See
build_times() for details.
Number of digits for rounding the build times
whether to skip the imports and only include the
targets in the workflow plan.
Character string, title of the graph.
Optional collection of target/import names.
from is nonempty,
the graph will restrict itself to
a neighborhood of
Control the neighborhood with
Which direction to branch out in the graph
to create a neighborhood around
"in" to go upstream,
"out" to go downstream,
"all" to go both ways and disregard
edge direction altogether.
How far to branch out to create
a neighborhood around
from. Defaults to
as far as possible. If a target is in the neighborhood, then
so are all of its custom
file_out() files if
That means the actual graph order may be slightly greater than
you might expect, but this ensures consistency
show_output_files = TRUE and
show_output_files = FALSE.
Optional character vector.
Subset of targets/imports to display in the graph.
Be advised: edges are only kept for adjacent nodes in
If you do not select all the intermediate nodes,
edges will drop from the graph.
Logical, whether to make the imports first.
FALSE to increase speed and risk using obsolete information.
Logical, whether to assume all the targets
will be made from scratch on the next
Makes all targets outdated, but keeps information about
build progress in previous
TRUE, all the node types
are printed in the legend. If
FALSE, only the
node types used are printed in the legend.
Optional character scalar, name of the column used to
group nodes into columns. All the columns names of your original
plan are choices. The other choices (such as
"status") are column names
nodes . To group nodes into clusters in the graph,
you must also supply the
Optional character vector of values to cluster on.
These values must be elements of the column of the
nodes data frame
that you specify in the
group argument to
ggplot2 object, which you can modify with more layers,
plot(), or save as a file with
Deprecated on 2018-07-25.