Analysis of Variance
Analyzes a one-way classification model with covariates
Analyzes a one-way classification model
Balanced fixed, random, or mixed model
Analyzes a balanced factorial design with fixed effects
Nested random mode
Analyzes data from balanced and unbalanced completely randomized experiments.
Conducts Bartlett’s and Levene’s tests of the homogeneity of variance assumption in analysis of variance.
Analyzes balanced and partially-balanced lattice experiments.
Analyzes data from Latin-square experiments.
Performs Student-Newman-Keuls multiple comparisons test.
Analyzes data from balanced and unbalanced randomized complete block experiments.
Analyzes a wide variety of split-plot experiments with fixed, mixed or random factors.
Analyzes data from strip-plot experiments.
Analyzes data from split-split-plot experiments.
Analyzes data from strip-split-plot experiments.
Estimates missing observations in designed experiments using Yate’s method.
