Data & Statistics

R & RStudio Analysis

Reproducible analysis in R with commented scripts, tidyverse workflows and publication quality ggplot2 output.

Teal and brass data columns stand before curved frosted glass on a navy base.

R is the right choice when the analysis needs to be reproducible, when the method is not available in point-and-click software, or when the same pipeline will be re-run on new data.

We write commented scripts rather than one-off console work, so the analysis can be re-run, audited and extended. Where it helps, we deliver an R Markdown or Quarto document that regenerates the whole results section from the raw data.

What you receive

  • Commented R script or R Markdown / Quarto document
  • Reproducible pipeline from raw data to final tables
  • ggplot2 figures at publication resolution
  • Session info and package versions recorded
  • A walkthrough so you can run it yourself

Questions about R & RStudio Analysis

R is the language; RStudio (now Posit) is the editor most people use to write it. You install both. We cover this properly in our R vs RStudio guide.

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Next step

Ready to talk about R & RStudio Analysis?

Send the brief, the deadline and anything you already have. You will get a reference number straight away and a considered reply, usually within one working day.

  • Fixed quote agreed before any work begins
  • A reference number you can quote on WhatsApp
  • Confidential handling, and an NDA if you want one
  • An honest answer if your deadline is not realistic
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