Preparing Data Before Analysis
Table 1
Table
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Table 1
Table
Table 1
| Preparation check | R approach | Why it matters |
|---|---|---|
| Confirm unit of observation | Compare row count and participant count | Prevents incorrect denominators |
| Review categories | `count(variable)` | Detects unexpected levels and coding issues |
| Review numeric ranges | `min()`, `median()`, `max()` | Identifies impossible or extreme values |
| Confirm missingness | `sum(is.na(variable))` | Clarifies denominators and completeness |
| Confirm date variables | `glimpse()` and date comparisons | Prevents invalid timing summaries |
| Review joins | Count rows before and after joining | Detects accidental row duplication |