focusonr
Notes on R, statistical computing, and applied biostatistics
The lab now lives at rgtlab.org
The Thomas Lab activities (curriculum, publications, software, teaching) have moved to rgtlab.org. This site retains the blog only.
Welcome to focusonr, a working blog on R, statistical computing, and applied biostatistics by Ronald ‘Ryy’ G. Thomas. Recent posts below.
Seven Required Elements for a zzc Manuscript report.Rmd
zzcollab
rmarkdown
reproducibility
workflow
publishing
GitHub Actions workflows for zzcollab research compendia
ci
github-actions
zzcollab
reproducibility
r-package
Sharing R Code via Docker: R Markdown Reports and Shiny Applications
r
docker
rmarkdown
shiny
reproducibility
Unix Command-Line Workspace Setup for Data Science Researchers
shell
macos
linux
dotfiles
git
workflow
setup
Multi-Laptop macOS Bootstrap: Migrating Dotfiles to a Versioned Git Repository
dotfiles
shell
macos
setup
reproducibility
Research Backup Architecture: Ongoing System and GitHub Archival
git
shell
macos
reproducibility
Secrets Management for the Workflow Construct
setup
security
secrets
gpg
unix
cloud
aws
Security Foundations for a Multi-Laptop Research Cluster
security
gpg
dotfiles
macos
setup
Migrating Off Dropbox: Beyond Dotfiles
workflow
sync
migration
dropbox
A tiered CI strategy for zzcollab research compendia
ci
github-actions
reproducibility
zzcollab
renv
Setting up OBS for Live R Coding Screencasts
setup
obs
youtube
screencast
r
reproducibility
A 55-Item Initiation Checklist for zzcollab Data Analyses
r
zzcollab
reproducibility
workflow
checklist
quarto
LLM-Augmented Editing for the Workflow Construct
setup
llm
ai
claude
editing
workflow
Modern CLI Replacements for the Shell Layer
setup
shell
cli
workflow
A Workflow Construct for the Modern Data Scientist
setup
workflow
zsh
vim
docker
reproducibility
Updating an R Package: A Complete Development Workflow
r
package-development
git
Reproducible Blog Posts with ZZCOLLAB: A Quarto Workflow
quarto
r
docker
reproducibility
zzcollab
Running ZZedc Independently for Clinical Research Data Management
clinical-trials
shiny
aws
reproducibility
A Mac Workflow for Tracking Daily Research Progress
shell
git
macos
Clinical Trial Data Validation Across Languages and Tools
clinical-trials
data-cleaning
r
lua
javascript
Palmer Penguins Part 3: Cross-Validation and Model Comparison
r
cross-validation
random-forest
machine-learning
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