bcgov /
drake-example
A home for developing a demo or lesson for using the drake package for R workflows
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RApache-2.0#citz#data-analysis#data-science#r
⑂ 1 forks◯ 1 issuesUpdated Oct 3, 2024
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wlandau / repository
Example workflows for the drake R package
A transparent discovery signal based on current public GitHub metadata.
This score does not audit code, security, maintainers, documentation quality, or suitability. Verify the repository and its current documentation before adoption.
drake is superseded. The targets R package is the long-term successor of drake, and it is more robust and easier to use. Please visit https://books.ropensci.org/targets/drake.html for full context and advice on transitioning.
This repository is part of a community effort to collect, curate, and share publicly available examples of data analysis projects powered by the drake R package. Each folder is its own example with a self-sufficient set of code and data files.
Click this badge to open the examples in RStudio through your browser:
You can download example files and run them locally with drake itself.
# Install and load drake.
devtools::install_github("ropensci/drake")
library(drake)
# List the available examples.
drake_examples()
# Get an example
drake_example("main")
list.files() # See the new 'main' folder
Please read the top-level CONTRIBUTING.md and CONDUCT.md for rules and instructions.
customer-churn: based on an RStudio Solutions Engineering example of how to use Keras with R. The motivation comes from a blog post by Matt Dancho, and the code is based on a notebook by Edgar Ruiz.stan: validating a small Bayesian hierarchical model with rstan.main: drake's main bare-bones introductory example, originally written by Kirill Müller and modified by Will Landau. Now based on R's built-in airquality dataset.gsp: A concrete example using real econometrics data. It explores the relationships between gross state product and other quantities, and it shows off drake's ability to generate lots of reproducibly-tracked tasks with ease.packages: A concrete example using data on R package downloads. It demonstrates how drake can refresh a project based on new incoming data without restarting everything from scratch.mtcars: An old legacy example with the mtcars dataset. Use load_mtcars_example() to set up the project in your workspace.mlr-slurm: an example machine learning workflow rigged to deploy to a SLURM cluster.Docker-psock: demonstrates how to deploy targets to a Docker container using a specialized PSOCK cluster.sge: uses drake's high-performance computing functionality to send work to a Grid Engine cluster.slurm: similar to sge, but for SLURM.torque: similar to sge, but for TORQUE.drakehpc-profiling: an example with a small number of medium-ish-sized datasets. The goal is to assess how long it takes (relatively speaking) to shuffle data around hpc workers.overhead: an example explicitly designed to maximize strain on drake's internals. The purpose is to support profiling studies to speed up drake.script-based-workflows: demonstrates how to adapt drake to an imperative script-based project.code_to_plan: questioning. Refer to script-based-workflows instead.The official rOpenSci use cases and associated discussion threads describe applications of drake in action. Here are some more real-world sightings of drake in the wild.
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bcgov /
A home for developing a demo or lesson for using the drake package for R workflows
20/100 health