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.