Organise the inputs
Separate original data from prepared files and outputs. Use an explicit sequence for importing and transforming data.
RESEARCH & DATA
Prepare data, run statistical analysis and create research figures in an organised R workflow. Receive scripts and documentation that explain how the outputs were produced.
Request a research quoteYou need script-based analysis, repeatable preparation steps or a documented workflow that can be rerun when data or research requirements change.
THE DETAIL THAT MATTERS
A script is a starting point. File paths, input versions, packages and settings also affect whether someone can rerun an analysis. We agree the level of environment documentation and portability your project needs.
Separate original data from prepared files and outputs. Use an explicit sequence for importing and transforming data.
Document recodes, exclusions, derived variables and modelling decisions. Avoid unexplained manual edits to analytical outputs.
Identify packages and relevant versions. Record random seeds where a procedure relies on random sampling or simulation.
Rerun the agreed workflow, explain required inputs and note any environment or access dependencies.
Deliverables are agreed in your quote.
Share your research question, stage, data type and deadline. No test selection is needed.
Please leave out sensitive records. File sharing is agreed after the initial review.
QUESTIONS
Yes. The scripts for the agreed analytical work form part of the handover, with notes on the inputs and execution order.
The choice follows the methods and outputs required. We identify relevant packages and versions in the handover rather than requiring you to choose them beforehand.
We test the agreed workflow and provide instructions. Rerunning it requires the documented input files, dependencies and compatible software environment.
NEXT STEP
We’ll review your brief and confirm the scope and fee.