Who we are
Rverse Analytics is a boutique R studio. We keep the team small on purpose: every project is handled by people who write R daily and think about statistics for a living.
Our foundation is biostatistics — clinical and health-sciences research is where our methodology was forged, and that rigour carries into everything we build, from a survey analysis to a production Shiny dashboard. That clinical grounding is distilled into our Clinical R toolkit.
Facts at a glance
| What | Boutique R consulting studio: statistical analysis, biostatistics, clinical statistical programming (CDISC ADaM, TLFs, SAS-to-R migration and validation), Shiny apps, R packages, Quarto reporting, R training |
| Who we serve | CROs and pharma sponsors, hospitals and clinical researchers, universities and thesis authors, public-sector and NGO analysts, product and energy analytics teams |
| How we price | Fixed-price written proposal after a free 20-minute scoping call; larger builds split into fixed-price milestones |
| What you receive | The complete reproducible code, the outputs and documentation, plus a handover walkthrough. You own everything |
| Where | Remote-first, clients worldwide; working languages English and Turkish |
| Response time | Within two business days |
| Contact | info@rverseanalytics.com or the contact form |
| Free resources | Statistics calculators verified against R, interactive R courses on webR, cheat sheets, blog, machine-readable summary |
How we work
- Reproducible by default. Every deliverable is generated by code you receive — no manual steps, no black boxes.
- R-native. We don’t translate between tools; the analysis, the figures and the report come from one scripted pipeline.
- Small and senior. You talk directly to the people doing the work.
We scope every project in writing before it starts, keep confidentiality as the default, and hand over documentation and a walkthrough so your team can carry the work forward without us. See what we’ve built, who we help, or the questions clients ask most.
How we verify our work
Our expertise is biostatistics — the discipline where a wrong test or a mis-stated confidence interval has real consequences. That standard shows up in concrete ways:
- Every calculator on this site is checked against R. The free statistics tools run on a numerical engine we test against R’s own functions —
t.test,aov,chisq.test,fisher.test,power.t.test,qnormand more — so a p-value or confidence interval here matches what you’d get in R to several decimal places. - Methods before defaults. We check assumptions (normality, variance, independence) before choosing a test, and we report effect sizes and intervals, not just p-values — the same discipline we teach in our guide to biostatistics in R.
- Reproducible end to end. Results, figures and tables are regenerated from code, so nothing drifts out of sync with the data between analysis and report.
Why “Rverse”?
Because our entire universe of tooling revolves around R: the tidyverse for data work, Shiny for interfaces, Quarto for publishing — one coherent ecosystem, and this site itself is rendered by it.