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Generic function to create a Error Bar graph based on a fit by the cg package.
errorBarGraph(fit, mcadjust=FALSE, alpha = 0.05,
cgtheme = TRUE, device="single", ...)The main purpose is the side effect of graphing to the current device. See specific methods for discussion of any return values.
A fit object created by a fit method from the cg
package.
Do a multiple comparisons adjustment, based on the simultaneous
inference capabilities of the multcomp package. See Details
below. The default value is FALSE.
If mcadjust=TRUE is specified, there will be a delay,
usually just for a few seconds, due to computing time of the
critical point in order to create the error bar intervals.
Significance level, by default set to 0.05 so
that confidence levels are 95%.
When set to the default TRUE, ensures a trellis device is active with
limited color scheme. Namely background,
strip.shingle, and strip.background are each set to "white".
Can be one of three values:
"single"The default, which will put all graph panels on the same device page.
"multiple"Relevant only when more than one panel of graphs is possible. In that case, a new graphics device is generated each newly generated single-paneled graph.
"ask"Relevant only when more than one panel of
graphs is possible. In
that case, each are portrayed as a single-paneled graph, with the
ask=TRUE argument specified in par so that
the user input confirmation is needed before the graphs are
drawn.
Additional arguments, depending on the specific method written for the object. See the method-specific documentation for additional details.
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
When mcadjust=TRUE, a status message of
"Some time may be needed"
"as the critical point from the multcomp::summary.glht function call is calculated"
is displayed at the console. This computed critical point
is used for all subsequent p-value and confidence interval calculations.
Hothorn, T., Bretz, F., Westfall, P., Heiberger, R.M., and
Schuetzenmeister, A. (2010). The multcomp R package.
Hothorn, T., Bretz, F., and Westfall, P. (2008). "Simultaneous Inference in General Parametric Models", Biometrical Journal, 50, 3, 346-363.
errorBarGraph.cgOneFactorFit
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)
errorBarGraph(canine.fit)
errorBarGraph(canine.fit, mcadjust=TRUE, model="olsonly")
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