Dr Cory Dugan
For researchers

Stop rewriting the same R every study.

Nine ready-to-use, heavily commented R scripts that handle the repetitive parts of a health-research analysis, so you start from a tested, working function instead of a blank script, and spend your time on the science.

Every script is tidyverse-first and self-documenting. No black boxes: each function is commented so you can see exactly what it does and adapt it to your own data.

What is inside

Nine scripts, each one commented end to end

Publication-ready ggplot2 themeA consistent theme and colour-blind-safe palette. One line and every plot matches.
Grouped Table 1 generatorn, mean (SD) or median (IQR) and counts (%) by group, as a tidy tibble ready to export.
Sample-size and power helpersFor the three most common designs: two-group means, two proportions, and a correlation.
Missing-data reportPer-variable counts and percentages plus a quick visual, so you catch problems before modelling.
Regression reporterFit lm or glm and return a clean table (estimate, 95% CI, p) with odds or rate ratios where appropriate.
Forest plotPublication-ready, from any table of estimates and confidence intervals.
Correlation matrix and heatmapWith significance flagging.
Body-iron calculationA worked, documented Cook's-formula calculation from soluble transferrin receptor and ferritin.
Reproducible RMarkdown templateA clean, sectioned house structure, so every project starts from a consistent base.
Free Starter Pack

Try three scripts first.

A free taste of the full pack: the publication-ready ggplot2 theme, the grouped Table 1 generator, and the sample-size helpers. Enter your email and I will send you the download link and a short note on what each one does.

Free to use in your own work. Please do not redistribute the scripts themselves.

Your email is used only to send the pack and the occasional note when I add a script. No spam, unsubscribe any time.

Questions

Before you buy

Who is this for?

Health and clinical researchers, PhD students, and anyone who runs the same analysis steps over and over in R and wants a tested, commented starting point rather than a fresh blank script each time.

How does it work?

Unzip anywhere inside your project. Each script is standalone: source the ones you need, or copy the function straight into your analysis. Every script lists the packages it needs at the top.

What is the licence?

Single-user licence. Use it in your own research and teaching, including funded and commercial projects. Please do not redistribute or resell the scripts themselves.

Why not just write it myself?

You could. I did, once per study, for years. The point of the pack is that it is already written, already tested, and already commented, so the afternoon you would have spent rebuilding a Table 1 function or a forest plot goes to your actual analysis instead.

Buy the pack, A$49