R Workflow
How to Translate Labels Before Importing Data Into R
R can read Stata labels well, but readable labels still matter once you start working with factors, tables, and graphs. Translating labels before import keeps you from doing conceptual translation in the middle of analysis.
That is especially useful when several people are reading the same output in different tools.
Why Translate Before Import
- Readable labels make labelled variables easier to inspect.
- Frequency tables and factor conversions become easier to interpret.
- Collaborative scripts are easier to review when labels already make sense.
A Good R Workflow
- Audit labels in the original file first.
- Translate metadata and preview the output.
- Export the translated dataset.
- Import the translated file into R with `haven` or `readxl`.
What This Does Not Change
Translating labels does not change your data values or variable coding. It changes the readable metadata that sits on top of them.
Suggested Internal Links
FAQ
Does translating first change data values?
No. It changes labels, not the underlying values.
Does this help with labelled objects in R?
Yes. It often makes them much easier to inspect and use.
Does it replace a codebook?
No. Codebooks remain useful for notes and deeper documentation.
Preview Your Own Dataset
Upload a non-English dataset and preview translated labels before importing the full file into R.
Upload a dataset