covid19-flexdashboard
workflowr
covid19-flexdashboard | workflowr | |
---|---|---|
1 | 2 | |
2 | 807 | |
- | 0.9% | |
0.0 | 5.4 | |
almost 3 years ago | 2 months ago | |
R | R | |
MIT License | GNU General Public License v3.0 or later |
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covid19-flexdashboard
workflowr
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How do you manage results, plots, etc.?
I would start by saying "bioinformatics world" is a very broad term. Most of it does not involve managing multiple models, which is what MLflow seems to be for. Most work is cleaning the data and interpreting the results, which is highly project-specific. Something like workflowr is generally more appropriate, but even that is an overkill for most people.
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Restructuring a large R project. Need advice on how to wire up file paths and associated objects.
Targets stores all your data serialised on disk, and only loads them in as needed by the dependencies. For a standardised folder structure, you can take inspiration from workflowr.
What are some alternatives?
kableExtra - Construct Complex Table with knitr::kable() + pipe.
targets - Function-oriented Make-like declarative workflows for R
box - Write reusable, composable and modular R code
targets-minimal - A minimal example data analysis project with the targets R package
reprex - Render bits of R code for sharing, e.g., on GitHub or StackOverflow.
blogdown - Create Blogs and Websites with R Markdown
data-science-development-project-template - A logical, reasonably standardized, but flexible project structure for doing and sharing data science research work while developing a software tool.
webR-quarto-demos - Experiments with generating a standalone Quarto Document using Web R
namer - R package :package: for labelling chunks of RMarkdown files! :boom: