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heplots: Visualizing Hypothesis Tests in Multivariate Linear Models

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Sep 2023Publisher:Zenodo
Authors: Friendly, Michael; Fox, John; Monette, Georges;

doi: 10.5281/zenodo.7045141 , 10.5281/zenodo.17848330 , 10.5281/zenodo.15505361 , 10.5281/zenodo.15231632 , 10.5281/zenodo.8319428 , 10.5281/zenodo.16903471 , 10.5281/zenodo.14545499 , 10.5281/zenodo.10668689 , 10.5281/zenodo.11110112 , 10.5281/zenodo.8319427 , 10.5281/zenodo.14217378 , 10.5281/zenodo.8319122

heplots: Visualizing Hypothesis Tests in Multivariate Linear Models

Abstract

Provides HE plot and other functions for visualizing hypothesis tests in multivariate linear models. HE plots represent sums-of-squares-and-products matrices for linear hypotheses and for error using ellipses (in two dimensions) and ellipsoids (in three dimensions). The related 'candisc' package provides visualizations in a reduced-rank canonical discriminant space when there are more than a few response variables.

To cite package "heplots" in publications use:

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Keywords

visualizing-hypothesis-tests, matrices, linear-hypotheses, multivariate-linear-models, plot, repeated-measure-designs, multivariate linear models, ellipses, visualization, linear hypotheses

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selected citations
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This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
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popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
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