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fcr-data-analysis
Use when executing and reporting the statistical analysis for a Field Crops Research (FCR) manuscript — mixed models for multi-environment, block-design, and split-plot designs, genotype-by-environment (G×E) and stability analysis, estimated marginal means with SED/LSD, and crop-model evaluation. FCR requires data analysed with appropriate statistics that match the design and address the objectives. Guides analysis norms; it does not fabricate results.
Field-Crops-Research-Skills/skills/fcr-data-analysis/SKILL.md
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# Data Analysis (fcr-data-analysis)
FCR requires that **data be analysed with appropriate statistics** and that results be **concise and
address the objectives**. For field-crop work that almost always means **mixed models** that respect
the design (blocks, split-plots, environments) — not a one-way ANOVA on pooled plots. Analysis
execution lives here; design decisions live in `fcr-experimental-design`.
## When to trigger
- Building the analysis and results section from trial or modelling data
- A reviewer asked for the correct error structure, G×E modelling, or proper means separation
- Reconciling main effects with interactions across environments
- Evaluating a crop model against observations
