Description Usage Arguments Author(s) References See Also Examples
The function (in the form of an mlm
method for the generic
pairs
function) constructs a “matrix” of pairwise
HE plots (see heplot) for a multivariate linear model.
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x 
an object of class 
variables 
indices or names of the three of more response variables to be plotted; defaults to all of the responses. 
var.labels 
labels for the variables plotted in the diagonal panels; defaults to names of the response variables. 
var.cex 
character expansion for the variable labels. 
type 
“type” of sumofsquaresandproducts matrices to compute; one of

idata 
an optional data frame giving a factor or factors defining the
intrasubject model for multivariate repeatedmeasures data.
See Details of 
idesign 
a onesided model formula using the “data” in idata and specifying the intrasubject design for repeated measure models. 
icontrasts 
names of contrastgenerating functions to be applied by default to factors and ordered factors, respectively, in the withinsubject “data”; the contrasts must produce an intrasubject model matrix in which different terms are orthogonal. The default is c("contr.sum", "contr.poly"). 
imatrix 
In lieu of 
iterm 
For repeated measures designs, you must specify one intrasubject term
(a character string) to select the SSPE (E) matrix used in the HE plot.
Hypothesis terms plotted include the 
manova 
optional 
offset.axes 
proportion to extend the axes in each direction; defaults to 0.05. 
digits 
number of significant digits in axis endlabels; taken from
the 
fill 
A logical vector indicating whether each ellipse should be filled or not.
The first value is used for the error ellipse, the rest — possibly recycled — for
the hypothesis ellipses; a single fill value can be given.
Defaults to FALSE for backward compatibility. See Details of 
fill.alpha 
Alpha transparency for filled ellipses, a numeric scalar or vector of values
within 
... 
arguments to pass down to 
Michael Friendly
Friendly, M. (2006). Data Ellipses, HE Plots and ReducedRank Displays for Multivariate Linear Models: SAS Software and Examples Journal of Statistical Software, 17(6), 142. https://www.jstatsoft.org/v17/i06/
Friendly, M. (2007). HE plots for Multivariate General Linear Models. Journal of Computational and Graphical Statistics, 16(2) 421444. http://datavis.ca/papers/jcgsheplots.pdf
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