print.cgOneFactorGlobalTest {cg} | R Documentation |
Print One Factor Global F-test object with some format options
Description
Print a cgOneFactorGlobalTest
object, which contains global
F-test p-value information taken from a cgOneFactorFit
object.
Usage
## S4 method for signature 'cgOneFactorGlobalTest'
print(x, title = NULL, endptname = NULL, ...)
Arguments
x |
An |
title |
The title printed out with the p-value.
If |
endptname |
The endpoint name, printed out with the p-value.
If |
... |
Additional arguments. Only one is currently valid:
For other possible |
Details
The smallest actual p-value that will be printed is 0.001
. Anything
less than 0.001
will be displayed as < 0.001
. If you
need more digits, see the cgOneFactorGlobalTest
object.
The notion of a global F test, or equivalently, of R^2
,
for resistant & robust linear models is
murky, as no clear theoretical analogue to the ordinary classical
least squares approach exists. See cgOneFactorGlobalTest
for details, and regard the output p-value here as ad-hoc.
The object is printed using a mix of cat
and print
calls. See cgOneFactorGlobalTest
for details of the *.gpval
and other object slots.
Value
print.cgOneFactorGlobalTest
returns
invisible
. The main purpose is the side
effect of printing to the current output connection, which is
typically the console.
Note
Contact cg@billpikounis.net for bug reports, questions, concerns, and comments.
Author(s)
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
See Also
Examples
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)
canine.global <- globalTest(canine.fit)
print(canine.global)