Portable R Biomedical Analysis Template
Budget: £250 – £750 GBP
I have a working R workflow that processes several biomedical assay read-outs, generates exploratory and summary plots, and outputs a short write-up. Right now everything lives in loose scripts. I’d like you to turn that code into a clean, reusable template that I—and future collaborators—can drop new data into and run end-to-end with a single command.
Here’s what I need delivered:
• A self-contained renv project so all package versions are locked and the workflow is portable across machines and operating systems.
• A Quarto document that knits automatically, producing HTML (and optionally PDF) with a clear structure—Introduction, Methods, Results, and Discussion are typical, but I’m happy to refine headings together.
• Modular R functions that wrap the core steps (data import, cleaning, statistical tests, plotting) so they can be sourced or called from other scripts.
• Consistent, publication-ready plots. I’ll provide an initial wish-list—histograms, scatter plots, box plots, and a few other visuals—then we’ll iterate. Each plot should share a coherent theme and label style.
• Inline documentation and brief README instructions showing another analyst how to plug in new assay data and regenerate the report.
Proficiency in R is essential, and familiarity with Quarto and renv will make this smoother. I already have example data, existing code, and a rough style guide ready to share the moment we start.
If you enjoy structuring analytic workflows and care about reproducibility, I’d love to collaborate and wrap this up quickly.
Here’s what I need delivered:
• A self-contained renv project so all package versions are locked and the workflow is portable across machines and operating systems.
• A Quarto document that knits automatically, producing HTML (and optionally PDF) with a clear structure—Introduction, Methods, Results, and Discussion are typical, but I’m happy to refine headings together.
• Modular R functions that wrap the core steps (data import, cleaning, statistical tests, plotting) so they can be sourced or called from other scripts.
• Consistent, publication-ready plots. I’ll provide an initial wish-list—histograms, scatter plots, box plots, and a few other visuals—then we’ll iterate. Each plot should share a coherent theme and label style.
• Inline documentation and brief README instructions showing another analyst how to plug in new assay data and regenerate the report.
Proficiency in R is essential, and familiarity with Quarto and renv will make this smoother. I already have example data, existing code, and a rough style guide ready to share the moment we start.
If you enjoy structuring analytic workflows and care about reproducibility, I’d love to collaborate and wrap this up quickly.