Plant Trait Statistical Test Results from a Factorial Linear Mixed Model
by Arezoo Fani·Updated 1mo ago
5.5 KB1files
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Description
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.
Data is provided in XLS format, requiring software capable of reading Excel files.