Description Usage Arguments Details Value Note Author(s) References See Also Examples
Generic function to create a Error Bar graph based on a fit by the cg package.
1 2 |
fit |
A fit object created by a |
mcadjust |
Do a multiple comparisons adjustment, based on the simultaneous
inference capabilities of the multcomp package. See Details
below. The default value is |
alpha |
Significance level, by default set to |
cgtheme |
When set to the default |
device |
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. |
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.
The main purpose is the side effect of graphing to the current device. See specific methods for discussion of any return values.
Contact cg@billpikounis.net for bug reports, questions, concerns, and comments.
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
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.
1 2 3 4 5 6 7 8 9 10 11 | 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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