Visualizing hypothesis tests in multivariate linear models: the \texttt{heplots} package for R (Q549615)

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scientific article; zbMATH DE number 5925219
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Visualizing hypothesis tests in multivariate linear models: the \texttt{heplots} package for R
scientific article; zbMATH DE number 5925219

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    Visualizing hypothesis tests in multivariate linear models: the \texttt{heplots} package for R (English)
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    18 July 2011
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    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 \texttt{heplots} package for the statistical software R system. The authors describe the use of \texttt{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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    multivariate linear regression
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    MANOVA
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    linear hypothesis
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    data ellipse
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    statistical graphics
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