drake (version 5.3.0)

static_drake_graph: Show static graph representation of your drake project.

Description

This function requries packages ggplot2 and ggraph. Install them with install.packages(c("ggplot2", "ggraph")).

Usage

static_drake_graph(config = drake::read_drake_config(),
  build_times = "build", digits = 3, targets_only = FALSE,
  split_columns = NULL, 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)

Arguments

config

a drake_config() configuration list. You can get one as a return value from make() as well.

build_times

character string or logical. If character, the choices are 1. "build": runtime of the command plus the time it take to store the target or import. 2. "command": just the runtime of the command. 3. "none": no build times. If logical, 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.

digits

number of digits for rounding the build times

targets_only

logical, whether to skip the imports and only include the targets in the workflow plan.

split_columns

logical, deprecated.

main

character string, title of the graph

from

Optional collection of target/import names. If from is nonempty, the graph will restrict itself to a neighborhood of from. Control the neighborhood with mode and order.

mode

Which direction to branch out in the graph to create a neighborhood around from. Use "in" to go upstream, "out" to go downstream, and "all" to go both ways and disregard edge direction altogether.

order

How far to branch out to create a neighborhood around from (measured in the number of nodes). Defaults to as far as possible.

subset

Optional character vector of of target/import names. Subset of nodes to display in the graph. Applied after from, mode, and order. Be advised: edges are only kept for adjacent nodes in subset. If you do not select all the intermediate nodes, edges will drop from the graph.

make_imports

logical, whether to make the imports first. Set to FALSE to increase speed and risk using obsolete information.

from_scratch

logical, whether to assume all the targets will be made from scratch on the next make(). Makes all targets outdated, but keeps information about build progress in previous make()s.

full_legend

logical. If TRUE, all the node types are printed in the legend. If FALSE, only the node types used are printed in the legend.

group

optional character scalar, name of the column used to group nodes into columns. All the columns names of your config$plan are choices. The other choices (such as "status") are column names in the nodes . To group nodes into clusters in the graph, you must also supply the clusters argument.

clusters

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 drake_graph_info().

Value

A ggplot2 object, which you can modify with more layers, show with plot(), or save as a file with ggsave().

See Also

vis_drake_graph(), sankey_drake_graph(), render_static_drake_graph()

Examples

# NOT RUN {
test_with_dir("Quarantine side effects.", {
load_mtcars_example() # Get the code with drake_example("mtcars").
config <- drake_config(my_plan)
# Plot the network graph representation of the workflow.
static_drake_graph(config) # Save to a file with `ggplot2::ggsave()`.
})
# }