install.packages('drake')
build_graph
make(..., parallelism = "Makefile")
,
see what your Makefile
recipes
will look like in advance.analyses
as_file
backend
storr
namespaces that are cleaned
during a call to clean()
.config
drake_example("main")
plan_summaries()
.drake_example("mtcars")
args
argument to make()
.as_drake_filename
command
argument to make()
.drake
storr
cache namespaces used by drake.check
dataframes_graph
plan_analyses()
and plan_summaries()
.drake
workflow plan data frame.make()
.make()
."future"
backenddefault_system2_args
make(..., parallelism = "Makefile")
.parallelism
argument
to make()
for your system.sessionInfo()
of the last call to make()
.ggraph
/ggplot2
representation
of your drake project.evaluate
prework
argument to make()
.make()
can detect
all the package's nested functions.expand
drake
-powered project.make()
.make()
.gather
example_drake
examples_drake
make()
for non-staged parallel backends.plan
make()
for non-staged parallel backends.vis_drake_graph()
.plan
argument of make()
.sessionInfo()
of the last call to make()
.session
summaries
make()
.read_graph
render_graph
drake
that you want information
on a file (target or import), not an ordinary object.drake_graph_info()
.drake_plan()
.make_with_config()
knitr
/rmarkdown
source files
of a workflow plan command.ggraph
/ggplot2
representation
of your drake project.drake_config()
.drake
workflow plan data frame
into a plain R script file.make()
,
on an existing internal configuration list.load_basic_example
make(..., parallelism = "Makefile")
.drake
cache.make()
.shell.sh
file required by
make(..., parallelism = 'Makefile', prepend = 'SHELL=./shell.sh')
.drake
workflow plan data frame
into an R notebook,Makefile
during make(..., parallelism = "Makefile")
.plot_graph
drake_config()
list from the last make()
.make()
.storr
cache namespaces
that store target-level information.read_plan
workflow
ggraph
/ggplot2
representation
of your drake project.plan_drake
workplan
storr
-related errors.read_config
ggplot2
/ggraph
visualization from
drake_graph_info()
output.drake_graph_info()
.make(..., parallelism = "Makefile")
.build_drake_graph