bio-experimental-design-randomization-blocking - Design valid biological experiments with randomization and blocking
Identifies experimental units, plans randomization and blocking, selects factorial or hierarchical layouts, and aligns analysis with the experimental design.
Tags
Updated: 2026-10-02Capabilities
Typical Inputs
Typical Outputs
What this skill does
- Identify experimental units
- Distinguish observational units
- Plan treatment randomization
- Randomize processing order
- Choose blocking layouts
- Design factorial experiments
- Structure split-plot errors
- Model nested variation
- Avoid pseudoreplication
- Specify random effects
Inputs
- Experimental units
- Treatment factors
- Nuisance factors
- Run-order constraints
- Hierarchical measurements
Outputs
- Experimental-unit definition
- Treatment assignments
- Run-order assignments
- Design layout
- Analysis model structure
Requirements
- R environment
- designit 0.5+
- lme4 1.1-35+
- lmerTest 3.1+
- pwr 1.3+
- Installed package documentation