drake (version 7.5.2)

drake-package: drake: A pipeline toolkit for reproducible computation at scale.

Description

drake is a pipeline toolkit (https://github.com/pditommaso/awesome-pipeline) and a scalable, R-focused solution for reproducibility and high-performance computing.

References

https://github.com/ropensci/drake

Examples

# NOT RUN {
isolate_example("Quarantine side effects.", {
if (suppressWarnings(require("knitr"))) {
library(drake)
load_mtcars_example() # Get the code with drake_example("mtcars").
make(my_plan) # Build everything.
make(my_plan) # Nothing is done because everything is already up to date.
reg2 = function(d) { # Change one of your functions.
  d$x3 = d$x^3
  lm(y ~ x3, data = d)
}
make(my_plan) # Only the pieces depending on reg2() get rebuilt.
# Write a flat text log file this time.
make(my_plan, cache_log_file = TRUE)
# Read/load from the cache.
readd(small)
loadd(large)
head(large)
clean() # Restart from scratch.
make(my_plan, jobs = 2) # Distribute over 2 parallel jobs.
clean() # Restart from scratch.
# Parallelize over at most 4 separate R sessions.
# Requires Rtools on Windows.
# make(my_plan, jobs = 4, parallelism = "Makefile") # nolint
# Everything is already up to date.
# make(my_plan, jobs = 4, parallelism = "Makefile") # nolint
clean(destroy = TRUE) # Totally remove the cache.
unlink("report.Rmd") # Clean up the remaining files.
}
})
# }