Create an equal variance assessment graph of the residuals of a fitted object from the cg package
A fit object, typically created by the
Add a trend line to help assess the trend of the residuals. See
specific method written for the
When set to the default
Can be one of three values:
Additional arguments, depending on the specific method written for the object. See the method-specific documentation for additional details.
The graphs plot the square root of the absolute value of the residuals against the fitted value. The notion of using the squared root of the absolute residuals is attributed to John Tukey.
NULL. The main purpose is the side
effect of graphing to the current device.
Contact firstname.lastname@example.org for bug reports, questions, concerns, and comments.
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
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data(canine) canine.data <- prepareCGOneFactorData(canine, format="groupcolumns", analysisname="Canine", endptname="Prostate Volume", endptunits=expression(plain(cm)^3), digits=1, logscale=TRUE, refgrp="CC") canine.fit <- fit(canine.data) varianceGraph(canine.fit) varianceGraph(canine.fit, model="olsonly")
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