[doc] Add R tab to parameter tuning tutorial
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Description
Summary
Add R code tabs alongside the existing Python examples in the PARAM_TUNING tutorial (doc/tutorials/param_tuning.rst).
The current **Reducing Memory Usage** section contains several Python examples for train/test splitting, dropping dataframe columns, checking/converting array types, and avoiding unnecessary memory copies. This issue proposes adding equivalent R examples using the existing .. tabs:: / .. code-tab:: structure.
The R examples should:
- provide equivalent R code where applicable
- avoid introducing unnecessary package dependencies
- preserve the intent of the existing memory-usage recommendations
- keep the Python examples unchanged
This is part of [#11413](https://github.com/dmlc/xgboost/issues/11413).
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Research direction
Read doc/tutorials/param_tuning.rst, starting with the Reducing Memory Usage section and its existing .. tabs:: / .. code-tab:: structure. Add equivalent R tabs for the listed train/test splitting, dataframe-column, array-type, and memory-copy examples without changing the Python examples or adding unnecessary dependencies. Done when each applicable recommendation has a matching R example that preserves the tutorial's intent.
Written by the indexing model from the issue text.
Assessment
- Tech stack
- python, r
- Domain
- documentation
- Issue type
- Documentation
- Difficulty
- 2/5
- Estimated time
- 1-3 hours
- Activity status
- Active
- Clarity
- Clearly specified
- Newbie friendliness
- 86/100