To save time for repeated plotting,
this function is divided into
drake_graph_info() and render_sankey_drake_graph().
A legend is unfortunately unavailable
for the graph itself, but you can see what all the colors mean with
visNetwork::visNetwork(drake::legend_nodes()).
Usage
sankey_drake_graph(
...,
file = character(0),
selfcontained = FALSE,
build_times = "build",
digits = 3,
targets_only = FALSE,
from = NULL,
mode = c("out", "in", "all"),
order = NULL,
subset = NULL,
make_imports = TRUE,
from_scratch = FALSE,
group = NULL,
clusters = NULL,
show_output_files = TRUE,
config = NULL
)Arguments
- ...
Arguments to
make(), such asplanandtargets.- file
Name of a file to save the graph. If
NULLorcharacter(0), no file is saved and the graph is rendered and displayed within R. If the file ends in a.png,.jpg,.jpeg, or.pdfextension, then a static image will be saved. In this case, the webshot package and PhantomJS are required:install.packages("webshot"); webshot::install_phantomjs(). If the file does not end in a.png,.jpg,.jpeg, or.pdfextension, an HTML file will be saved, and you can open the interactive graph using a web browser.- selfcontained
Logical, whether to save the
fileas a self-contained HTML file (with external resources base64 encoded) or a file with external resources placed in an adjacent directory. IfTRUE, pandoc is required.- 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_timesselects whether to show the times from `build_times(..., type = "build")“ or use no build times at all. Seebuild_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.
- from
Optional collection of target/import names. If
fromis nonempty, the graph will restrict itself to a neighborhood offrom. Control the neighborhood withmodeandorder.- 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. Defaults to as far as possible. If a target is in the neighborhood, then so are all of its customfile_out()files ifshow_output_filesisTRUE. That means the actual graph order may be slightly greater than you might expect, but this ensures consistency betweenshow_output_files = TRUEandshow_output_files = FALSE.- subset
Optional character vector. Subset of targets/imports to display in the graph. Applied after
from,mode, andorder. Be advised: edges are only kept for adjacent nodes insubset. 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
FALSEto 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 previousmake()s.- group
Optional character scalar, name of the column used to group nodes into columns. All the columns names of your original
drakeplan are choices. The other choices (such as"status") are column names in thenodes. To group nodes into clusters in the graph, you must also supply theclustersargument.- clusters
Optional character vector of values to cluster on. These values must be elements of the column of the
nodesdata frame that you specify in thegroupargument todrake_graph_info().- show_output_files
Logical, whether to include
file_out()files in the graph.- config
Deprecated.
Examples
if (FALSE) { # \dontrun{
isolate_example("Quarantine side effects.", {
if (suppressWarnings(require("knitr"))) {
load_mtcars_example() # Get the code with drake_example("mtcars").
if (requireNamespace("networkD3", quietly = TRUE)) {
if (requireNamespace("visNetwork", quietly = TRUE)) {
# Plot the network graph representation of the workflow.
sankey_drake_graph(my_plan)
# Show the legend separately.
visNetwork::visNetwork(nodes = drake::legend_nodes())
make(my_plan) # Run the project, build the targets.
sankey_drake_graph(my_plan) # The black nodes from before are now green.
# Plot a subgraph of the workflow.
sankey_drake_graph(my_plan, from = c("small", "reg2"))
}
}
}
})
} # }