install.packages('drake')command
argument to make().checkargs argument to make().make(),
on an existing internal configuration list.make().hook argument to make().vis_drake_graph().Makefile
during make(..., parallelism = "Makefile").make().configmake().dataframes_graphhook argument to
make() that redirects output and error messagesplan_drakedefault_system2_argsprework
argument to make()."future" backendplan_analyses() and plan_summaries().hook argument to make()
for which no targets get built and no imports get processed.workflowparallelism argument
to make() for your system.evaluatedrakeworkplangathermake(..., parallelism = "Makefile").load_basic_exampledrake_example("mtcars")knitr/rmarkdown source files
of a workflow plan command.drake that you want information
on a file (target or import), not an ordinary object.plan argument of make().hook argument to
make() that redirects output messages to files.sessionInfo()
of the last call to make().examples_drakeexpandexample_drakemake()
for non-staged parallel backends.make() can detect
all the package's nested functions.drake cache.make_with_config()read_graphmake()
for non-staged parallel backends.make().read_plansessionshell.sh file required by
make(..., parallelism = 'Makefile', prepend = 'SHELL=./shell.sh').hook argument to
make() that redirects error messages to files.plot_graphmake(..., parallelism = "Makefile").planread_configdrake_config()
list from the last make().drake_graph_info().ggplot2/ggraph visualization from
drake_graph_info() output.make().make().storr-related errors.make().make(..., parallelism = "Makefile").drake_graph_info().drake_config().render_graphdrake_plan().summariesstorr cache namespaces
that store target-level information.igraph dependency network of your project.build_graphanalysesas_drake_filenamestorr cache namespaces used by drake.plan_summaries().as_filebackendmake(..., parallelism = "Makefile"),
see what your Makefile recipes
will look like in advance.storr namespaces that are cleaned
during a call to clean().