Custom R Package Development for Business
Package recurring analytical logic into documented, tested and versioned components that can be reused across teams and projects.
Important business logic should not live in copied scripts.
When the same transformations and calculations are duplicated across projects, defects and drift become inevitable. Internal packages create a controlled interface for shared logic and make quality easier to enforce.
A defined scope. Tangible deliverables.
Package architecture and API design
Refactoring of existing scripts into functions
Unit tests and validation
Documentation and examples
Versioning and release workflow
Internal package repository integration
Make the technical decisions explicit.
- Identify genuinely reusable business logic
- Design a small, stable package API
- Add tests before broad adoption
- Document for both users and maintainers
- Create a release and ownership model
Outcomes to define and assess together
- Less duplicated code
- More consistent business rules
- Faster development across multiple R projects
A few useful starting points.
Can you work on an existing project?
Yes. We begin by reviewing its purpose, dependencies, documentation and current constraints. This assessment determines what can be retained and what needs to change.
What should we prepare for the first discussion?
The expected outcome, current tools, main difficulties and any deadline. An architecture sketch or a description of the workflow is enough to start; sensitive data is not needed at this stage.
How are scope, timing and price set?
After reviewing the context, we define the intervention, deliverables, dependencies and acceptance criteria. Timing and pricing follow from this scope and are confirmed in the proposal.
Sharing business rules across projects
A calculation or transformation is duplicated across repositories. A package centralises the logic, defines parameters, tests behaviour and distributes identifiable versions with usage examples.
A versioned R package, documentation, tests and a release process.
Illustrative scenario, not a claim about a completed client engagement. Final deliverables depend on the agreed scope.
A useful first conversation.
Which needs are shared? Who maintains the interface? How will teams receive updates?
Share a description of the workflow and its constraints first. Confidential files, personal data and system access can be discussed within an appropriate framework later.