Plant Trait Statistical Test Results from a Factorial Linear Mixed Model

Statistical test results from a factorial general linear mixed model fitted to four plant traits: total height, flower number, leaf width, and pistil length. The dataset reports F ratios and p-values for fixed effects (parental treatment, offspring treatment, and their interaction) and random effects (maternal plant and block). The author is Arezoo Fani, and the data was last updated on May 15, 2026.

Use Cases

• Validate statistical significance of treatment effects based on reported F ratios and p-values.
• Compare model results across multiple plant traits (height, flower number, leaf width, pistil length).
• Assess the relative importance of fixed effects (parental/offspring treatment) versus random effects (maternal plant, block).

Strengths

• Statistical results are provided for four distinct plant traits.
• Tests cover both fixed and random effects, with specific degrees of freedom reported (e.g., 2 for Parental treatment, 422 error df for three traits).
• Significant effects (p < 0.05) are explicitly highlighted in the data.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• The dataset is very small (5.5 KB), indicating limited scope.

Provenance

Source

figshare

Collection Method

Results from a statistical model fit to experimental data.

Freshness

Last updated 2026-05-15 17:44:58; freshness should be verified.