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## ANOVA / MANOVA

 Balanced and unbalanced designs Missing cells Factorial, nested, Latin square, and mixed designs Repeated measures Box, Greenhouse–Geisser, and Huynh–Feldt corrections Postestimation after ANOVA Tests for effects, including pooling and nonresidual error terms Tests for expressions involving the coefficients of the underlying regression model Bonferroni, Holm, and Šidák adjustments for multiple tests Ability to display symbolic forms Predictions and influence statistics Expected values Residuals, standardized residuals, studentized residuals Standard error of the prediction or residuals Leverage Cook’s D COVRATIO DFBETAs Diagonal of hat matrix Welsch distance Diagnostic plots Component plus residual Augmented component plus residual Leverage versus squared residual Residual versus fitted Residual versus predictor MANOVA Multivariate test statistics Wilks’ lambda Pillai’s trace Lawley–Hotelling trace Roy’s largest root Balanced and unbalanced designs Missing cells Factorial, nested, Latin square, and mixed designs Repeated measures Postestimation after MANOVA Multivariate tests (Wilks’ lambda, Pillai’s trace, etc.) for Terms from the model Pooled terms Terms (or pooled terms) tested using other terms (or pooled terms) as the error term Linear combinations of the underlying design matrix Wald tests of expressions involving the coefficients of the underlying regression model Predictions Point estimates Standard error of point estimates Residuals Factor variables Automatically create indicators based on categorical variables Form interactions among discrete and continuous variables Include polynomial terms Perform contrasts of categories/levels Watch Introduction to Factor Variables in Stata Marginal analysis Estimated marginal means Marginal and partial effects Average marginal and partial effects Least-squares means Predictive margins Adjusted predictions, means, and effects Contrasts of margins Pairwise comparisons of margins Profile plots Graphs of margins and marginal effects Watch Introduction to Margins in Stata Analysis of main effects, simple effects, interaction effects, partial interaction effects, and nested effects Comparisons against reference groups, of adjacent levels, or against the grand mean Orthogonal polynomials Helmert contrasts Custom contrasts ANOVA-style tests Contrasts of nonlinear responses Multiple-comparison adjustments Balanced and unbalanced data Contrasts of means, intercepts, and slopes Graphs of contrasts Interaction plots Watch Introduction to Contrasts in Stata: Oneway ANOVA tutorial. Compare estimated means, intercepts, and slopes Compare marginal means, intercepts, and slopes Balanced and unbalanced data Nonlinear responses Multiple-comparison adjustments: Bonferroni, Šidák, Scheffé, Tukey HSD, Duncan, and Student–Newman–Keuls adjustments Group comparisons that are significant Graphs of pairwise comparisons Combinations of estimators Linear and nonlinear Confidence intervals

See New in Stata 12 for more about what was added in Stata Release 12.

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