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).
Keywords for this software
References in zbMATH (referenced in 5 articles , 2 standard articles )
Showing results 1 to 5 of 5.
- Friendly, Michael; Sigal, Matthew: Recent advances in visualizing multivariate linear models (2014)
- Lin, S. H.: Comparing the mean vectors of two independent multivariate log-normal distributions (2014)
- Michael Friendly: HE Plots for Repeated Measures Designs (2010) not zbMATH
- Fox, John; Friendly, Michael; Monette, Georges: Visualizing hypothesis tests in multivariate linear models: the \textttheplotspackage for R (2009)
- Friendly, Michael: A.-M. Guerry’s moral statistics of France: challenges for multivariable spatial analysis (2007)