Visualizing hypothesis tests in multivariate linear models: the heplots package for R Linear hypotheses are considered for linear regression models with multivariate response. Hy-poth-eses-error (HE) plots are used as visual tools for such hypotheses testing. These plots are implemented in two and three dimensions in the heplots package for the statistical software R system. The authors describe the use of heplots considering real life data examples including one-way and two-way MANOVA, multivariate multiple regression and multivariate analysis of covariance (MANCOVA).
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References in zbMATH (referenced in 2 articles , 1 standard article )
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- Fox, John; Friendly, Michael; Monette, Georges: Visualizing hypothesis tests in multivariate linear models: the heplots package for R (2009)
- Friendly, Michael: A.-M. Guerry’s moral statistics of France: challenges for multivariable spatial analysis (2007)