Categories

All (48)

ai (1)

aws (3)

checklist (1)

ci (2)

claude (1)

cli (1)

clinical-trials (2)

cloud (1)

cross-validation (1)

data-cleaning (1)

data-visualization (4)

docker (4)

dotfiles (3)

dropbox (1)

editing (1)

git (5)

github-actions (2)

gpg (3)

javascript (2)

julia (1)

linux (3)

llm (1)

lua (1)

machine-learning (2)

macos (7)

metaprogramming (2)

migration (1)

model-selection (2)

neovim (1)

obs (1)

package-development (1)

packaging (1)

penguins-arc (2)

publishing (1)

python (4)

quarto (6)

r (26)

r-language (2)

r-package (1)

r-packages (1)

random-forest (2)

regression (4)

renv (1)

reproducibility (17)

rmarkdown (3)

screencast (1)

secrets (1)

security (3)

setup (9)

shell (10)

shell-and-git (1)

shiny (5)

sync (1)

teaching (1)

testing (2)

testthat (1)

tinytest (1)

unix (2)

vim (4)

workflow (7)

workflow-construct (7)

youtube (1)

zsh (1)

zzcollab-compendia (8)

Other Formats

PDF

Blog

Technical articles and explorations in statistical computing, data science, and R programming.

Install Linux Mint on a MacBook Air

linux

macos

r

python

workflow-construct

A practical guide to installing Linux Mint 22 on a 2016 MacBook Air, transforming aging Apple hardware into a functional data science workstation.

Ronald ‘Ryy’ G. Thomas

Functional Plot Generation with purrr

r

data-visualization

I did not really know how to programmatically generate multiple plots from grouped data until I discovered purrr’s map2 and pmap functions – this post walks through the approach step by step using Palmer Penguins.

Ronald ‘Ryy’ G. Thomas

Setting Up Multi-Language Quarto Documents on macOS

quarto

r

python

julia

A practical guide to the configuration plumbing required to render a multi-language Quarto document from scratch on macOS.

Ronald ‘Ryy’ G. Thomas

Rapid Conversion of Draft R Scripts to Formal Rmd Reports

r

rmarkdown

reproducibility

I did not really know how to quickly convert a working R script into a presentable report until I discovered knitr::spin() and a few supporting workflows that changed how I share analytical results.

Ronald ‘Ryy’ G. Thomas

Seven Required Elements for a zzc Manuscript report.Rmd

zzcollab-compendia

rmarkdown

reproducibility

workflow

publishing

zzcollab-compendia

Every zzcollab manuscript compendium needs seven specific YAML and structural elements in its report.Rmd to produce a correctly formatted, stamped, and staged PDF. Missing any one of them is easy to do and surprisingly hard to diagnose later.

Ronald G. Thomas

GitHub Actions workflows for zzcollab research compendia

ci

github-actions

zzcollab-compendia

reproducibility

r-package

Not all zzcollab repos need the same CI. A manuscript-package compendium requires both an R CMD check workflow and a report-rendering workflow; a data-analysis compendium needs only the latter; a blog-post compendium needs neither. This post maps the three workspace types to their correct workflow combinations and walks through each YAML file line by line.

Ronald ‘Ryy’ G. Thomas

Sharing R Code via Docker: R Markdown Reports and Shiny Applications

r

docker

rmarkdown

shiny

reproducibility

I did not really know how fragile sharing R code could be until my colleague spent an afternoon debugging missing packages, and I realised Docker could have prevented every single error – whether the output was a static PDF or a live Shiny app.

Ronald ‘Ryy’ G. Thomas

Unix Command-Line Workspace Setup for Data Science Researchers

shell

macos

linux

dotfiles

git

workflow

setup

A new researcher arrives with two macOS laptops and a Linux Mint workstation. This post builds the terminal layer, the shell layer, and the dotfiles repository that keeps all three machines consistent from day one.

Ronald ‘Ryy’ G. Thomas

Multi-Laptop macOS Bootstrap: Migrating Dotfiles to a Versioned Git Repository

dotfiles

shell

macos

setup

reproducibility

workflow-construct

I did not appreciate how fragile my development environment was until I tried to set up a second MacBook and discovered my entire shell configuration had no git history, no rollback, and no deployment mechanism.

Ronald ‘Ryy’ G. Thomas

Extending the R-Vim Workflow: LaTeX Integration and Dynamic Snippets

vim

r

python

workflow-construct

A complete configuration guide for the Vim-based R and LaTeX workflow: vimtex for LaTeX compilation, ALE for linting, UltiSnips for static snippet expansion, and UltiSnips Python interpolation for dynamic, parametric snippets.

Ronald ‘Ryy’ G. Thomas

Research Backup Architecture: Ongoing System and GitHub Archival

git

shell

macos

reproducibility

A unified treatment of research backup architecture: the three-tier ongoing system (automated Git pushes, cloud sync, and Time Machine) and the bulk GitHub archival procedure for migrating 400+ private repositories to local storage with verified backups and selective deletion.

Ronald ‘Ryy’ G. Thomas

Setting Up pass: a Unix Password Manager

unix

shell

gpg

security

setup

I did not appreciate how fragile browser-based password storage was until I migrated 600 credentials to an encrypted, version-controlled store in a single afternoon.

Ronald ‘Ryy’ G. Thomas

Secrets Management for the Workflow Construct

setup

security

secrets

gpg

unix

cloud

aws

An open-source secrets-management scheme for the Workflow Construct. The post documents the installation and configuration of pass (the Unix password store), the AWS IAM Identity Center workflow that replaces plaintext credentials, and the secret-injection patterns that keep API keys and tokens out of dotfiles, shell history, and the working tree.

Ronald ‘Ryy’ G. Thomas

Security Foundations for a Multi-Laptop Research Cluster

security

gpg

dotfiles

macos

setup

Posts 64-66 establish a portable dotfiles repository, a multi-laptop sync architecture, and a GPG-encrypted credential store. This post asks what that infrastructure is worth if the threat model is wrong or the controls are incomplete.

Ronald ‘Ryy’ G. Thomas

Provisioning AWS EC2 Instances: Console and CLI Methods

aws

shell

shiny

docker

Setting up an AWS EC2 instance from scratch, with two parallel paths: a console walkthrough for understanding the components, and four bash scripts for repeatable CLI automation.

Ronald ‘Ryy’ G. Thomas

Migrating Off Dropbox: Beyond Dotfiles

workflow

sync

migration

dropbox

Post 24 establishes a portable dotfiles repository. This post extends the same goal to the rest of a single-user research workflow: project content, backup-pipeline source paths, and the append-only history files that Dropbox handles particularly badly. Frames the problem as three layers and walks through trade-offs for each.

Ronald ‘Ryy’ G. Thomas

A tiered CI strategy for zzcollab research compendia

ci

github-actions

reproducibility

zzcollab-compendia

renv

I did not realise how much my CI was lying to me until I added a single explicit failure check and watched five ‘passing’ projects turn honestly red. A workflow-style migration guide for zzcollab projects across four workspace types.

Ronald ‘Ryy’ G. Thomas

From testthat to tinytest: Converting an R Package Test Suite

r

testing

tinytest

testthat

packaging

I did not really appreciate how much ceremony testthat carries until I rewrote a small package’s suite in tinytest and lost roughly two-thirds of the lines without losing any coverage.

R. Glenn Thomas

Setting up OBS for Live R Coding Screencasts

setup

obs

youtube

screencast

r

reproducibility

A reproducible workflow for producing short, focused screencasts of R data analysis using OBS Studio and YouTube. Includes installation, scene configuration, recording, editing, and a worked five-minute example based on the Palmer Penguins dataset.

Ronald ‘Ryy’ G. Thomas

A 55-Item Initiation Checklist for zzcollab Data Analyses

r

zzcollab-compendia

reproducibility

workflow

checklist

quarto

A clinical research collaborator emails a single CSV file with twelve columns, two hundred and eighty-seven rows, no codebook, and a promise of an updated extract ‘next week’. We walk through the fifty-five items that move that attachment from the inbox to a reproducible zzcollab compendium ready for archival.

Ronald ‘Ryy’ G. Thomas

LLM-Augmented Editing for the Workflow Construct

setup

llm

ai

claude

editing

workflow

workflow-construct

An open-architecture pattern for LLM-augmented editing scoped to an applied biostatistician’s daily work. The post documents Claude Code at the shell as the primary integration, distinguishing it from in-buffer plugins, graphical AI editors, and browser-based prompting. The CLAUDE.md per-project convention is presented as the load-bearing artefact that makes the integration usable rather than novel.

Ronald ‘Ryy’ G. Thomas

Modern CLI Replacements for the Shell Layer

setup

shell

cli

workflow

workflow-construct

Eight Rust-implemented utilities (ripgrep, fd, bat, eza, zoxide, delta, lazygit, fzf) that compose into a Shell-layer extension of the Workflow Construct. The post documents the installation, configuration, daily-use substitutions, and failure modes for each, plus the autojump-to-zoxide migration that preserves the j muscle memory while upgrading the underlying frecency database.

Ronald ‘Ryy’ G. Thomas

A Workflow Construct for the Modern Data Scientist

setup

workflow

zsh

vim

docker

reproducibility

workflow-construct

A reproducible reference for the laptop-scale workflow construct used in day-to-day data science and biostatistics work. The post documents the existing layers (hardware, operating systems, file system, shell, editor, scripts, applications, cloud, backup, R packages) drawn from a working notebook outline, then proposes a set of evidence-graded extensions appropriate to a 2026 polyglot practice (LLM-augmented editing, modern CLI replacements, secret scanning, secure remote access, polyglot reproducibility, and knowledge management).

Ronald ‘Ryy’ G. Thomas

Refactoring a Personal Toolbox: Scripts versus Shell Functions

shell

shell-and-git

Personal toolboxes accumulate helpers across years of small fixes: some end up as shell functions in ‘.zshrc’, some as scripts in ‘~/bin’, often with no consistent rule for which goes where. A principled split (function only when shell state must change, versioned script otherwise) removes hundreds of lines of logic from the average dotfile, makes every helper shellcheck-able, and reduces shell startup time.

Ronald ‘Ryy’ G. Thomas

Building a statistical computing textbook in the Age of AI

quarto

teaching

reproducibility

I did not really appreciate how much structural decision-making goes into a textbook until I tried to draft two at once, both under the ‘in the Age of AI’ framing.

Ronald ‘Ryy’ G. Thomas

A pocket terminal for your Linux laptop with ttyd and Tailscale

linux

shell

workflow-construct

A reproducible configuration for browser-based terminal access to a Linux laptop from a mobile device, using ttyd for the terminal emulation layer and Tailscale for authenticated network transport, with no public-internet exposure.

Ronald ‘Ryy’ G. Thomas

Dynamic Column Names in R: Seven Approaches Compared

r

metaprogramming

r-language

A comprehensive guide to adding columns with programmatically-generated names in R dataframes. Covers base R, tidyverse (classic and modern), data.table, collapse, rlang::inject(), and do.call patterns.

Setting Up Git for Data Science Workflows

git

reproducibility

I did not really know how much time I was wasting without proper version control until a single overwritten script cost me three days of work.

Ronald ‘Ryy’ G. Thomas

Setting Up Neovim as a Data Science IDE

neovim

vim

r

python

I did not really know how much faster code editing could be until I switched from a mouse-driven IDE to Neovim’s modal, keyboard-centric workflow.

Ronald ‘Ryy’ G. Thomas

Updating an R Package: A Complete Development Workflow

r

package-development

git

I did not really understand the full lifecycle of modifying an R package until I had to push a feature branch through CI/CD and watch it either pass or fail on three operating systems. This post walks through the entire process.

Ronald ‘Ryy’ G. Thomas

Reproducible Blog Posts with ZZCOLLAB: A Quarto Workflow

quarto

r

docker

reproducibility

zzcollab-compendia

I did not really appreciate how fragile technical blog posts are until one of my own stopped rendering six months after publication. This post documents the workflow I built to treat each blog post as a standalone ZZCOLLAB reproducible research project with Docker, renv, and CI/CD.

Ronald ‘Ryy’ G. Thomas

The Pipe Equivalence Myth: When `f() |> g()` Is Not the Same as `g(f())`

r

metaprogramming

r-language

Piping and nesting function calls are semantically different operations. A subtle bug in an expression- capturing wrapper reveals how R’s lazy evaluation interacts with the pipe operator.

Ronald ‘Ryy’ G. Thomas

Running ZZedc Independently for Clinical Research Data Management

clinical-trials

shiny

aws

reproducibility

I did not really know how achievable investigator independence in clinical data management was until I deployed ZZedc on a personal AWS instance and ran a pilot study without vendor involvement.

Ronald ‘Ryy’ G. Thomas

From Markdown to Blog Post: A ZZCOLLAB Conversion Workflow

quarto

zzcollab-compendia

reproducibility

A systematic workflow for converting standalone markdown documentation into professional blog posts using ZZCOLLAB symlinks and Quarto metadata.

Ronald ‘Ryy’ G. Thomas

Combining Observable JS and Shiny in a Single Quarto Document

quarto

shiny

javascript

r

data-visualization

I did not really know how difficult it would be to combine Observable JS and Shiny in one Quarto document until every data-loading approach I tried failed except fetching from a public URL.

Ronald ‘Ryy’ G. Thomas

Testing Data Analysis Workflows in R

r

testing

reproducibility

I did not really know how to systematically test a data analysis pipeline until I applied software engineering practices from testthat and assertr to my own research workflow.

Ronald ‘Ryy’ G. Thomas

Configuring Yabai as a Tiling Window Manager on macOS

macos

shell

I did not really know how much faster a tiling window manager could make my daily workflow until I configured yabai with keyboard shortcuts and stopped reaching for the mouse.

Ronald ‘Ryy’ G. Thomas

Writing a Simple Vim Plugin for REPL Interaction

vim

r

r-packages

I did not really know how Vim’s terminal API worked until I wrote a small plugin that sends code from an editing buffer to a running R session.

Ronald ‘Ryy’ G. Thomas

Prototyping a Shiny App with ChatGPT

r

shiny

I did not really know how effective ChatGPT could be as a prototyping partner until I iteratively built a modular Shiny app for Palmer Penguin exploration in three prompts.

Ronald ‘Ryy’ G. Thomas

A Mac Workflow for Tracking Daily Research Progress

shell

git

macos

I did not really know how to keep a consistent daily research log until I combined macOS dictation with ChatGPT summarization and a few short bash scripts. This post walks through the entire workflow from folder structure to searchable, version-controlled notes.

Ronald ‘Ryy’ G. Thomas

Clinical Trial Data Validation Across Languages and Tools

clinical-trials

data-cleaning

r

lua

javascript

I did not really understand how many layers of validation sit between a clinical trial data entry form and a reliable analysis dataset until I started mapping out EDC edit checks, open-source tools, and the possibility of generating JavaScript validation from a simple spreadsheet processed by Lua.

Ronald ‘Ryy’ G. Thomas

Palmer Penguins Part 5: Random Forest versus Linear Models

r

random-forest

machine-learning

model-selection

A head-to-head comparison reveals that a random forest outperforms the linear model by only two percentage points, prompting reflection on the interpretability-performance tradeoff.

Ronald ‘Ryy’ G. Thomas

Palmer Penguins Part 4: Model Diagnostics and Interpretation

r

regression

model-selection

Verifying regression model trustworthiness through systematic diagnostic checks on linearity, normality, and influence.

Ronald ‘Ryy’ G. Thomas

Palmer Penguins Part 3: Cross-Validation and Model Comparison

r

cross-validation

random-forest

machine-learning

penguins-arc

Testing whether regression models hold up on new data through ten-fold cross-validation and comparison against a random forest.

Ronald ‘Ryy’ G. Thomas

Palmer Penguins Part 2: Multiple Regression and Species Effects

r

regression

Adding species identity to the body mass prediction model causes R-squared to jump from 0.76 to 0.86, demonstrating the power of biological groupings in multiple regression.

Ronald ‘Ryy’ G. Thomas

Constructing a reproducible blog post using zzcollab tools

r

zzcollab-compendia

reproducibility

I didn’t really know much about [topic] until I tried to [implement/understand] it myself. Here’s what I learned along the way.

Ronald ‘Ryy’ G. Thomas

Palmer Penguins Part 1: Exploratory Data Analysis and Simple Regression

r

regression

data-visualization

penguins-arc

An exploration of how a simple flipper measurement can reveal substantial information about penguin body mass through the Palmer Penguins dataset and simple linear regression.

Ronald ‘Ryy’ G. Thomas

Predictive Modeling of Penguin Body Mass

r

regression

data-visualization

Regression models on the Palmer Penguins dataset reveal how much species identity shapes morphometric relationships. Simpson’s Paradox emerges clearly, reversing an apparent correlation once species is accounted for.

Ronald ‘Ryy’ G. Thomas