This module supports the randomization and analysis of more advanced experimental designs, spatial analyses of yield trials, multivariate analyses, and other advanced statistical analyses.
Randomize and analyze alpha (0,1) generalized lattice and modified augmented type-2 designs.
Randomize and analyze nearest neighbour designs for variety trials using adjacent residual or second difference models to determine the most likely genetic ranking of varieties in the absence of confounding field trends.
Analyze data with generalized linear models (GLM) with fixed effects, for unbalanced or missing data and more complex experimental designs, including datasets with different varieties over trials, locations, and years.
Randomize and analyze diallel experiments using Griffing’s analysis with four methods involving parents, F1’s, and reciprocals.
Randomize and analyze line by tester experiments.
Hotelling's multivariate T analysis.
Principal components analysis.
Pearson, maximum likelihood ratio, continuity adjusted, and Mantel-Haenszel Chi-squares.
Probit analysis of biological assay data.
