cg (version 0.9.0)

print.cgOneFactorComparisonsTable: Print One Factor Comparisons Table object with some format options

Description

Print a cgOneFactorComparisonsTable object, which contains a table of comparisons based on the cgOneFactorFit object.

Usage

## S3 method for class 'cgOneFactorComparisonsTable':
print(x, digits = NULL, title = NULL, endptname = NULL, \dots)

Arguments

x

An cgOneFactorComparisonsTable object, typically created by comparisonsTable.cgOneFactorFit.

digits

The number of decimal places to use in the output. If NULL, then the number of decimal places is taken from the digits value in the settings slot of the

title

The title printed out with the table. If NULL, it is set to be "Comparisons Table of" the analysisname value from the settings slot of the cg

endptname

The endpoint name, printed out with the table. If NULL, it is set to the endptname value from the settings slot of the cgOneFactorCompariso

...

Additional arguments. Only one is currently valid: [object Object] For other possible cgOneFactorComparisonsTable table components such as accelerated failure time or unequal variance models, the model a

Value

• print.cgOneFactorComparisonsTable returns invisible. The main purpose is the side effect of printing to the current output connection, which is typically the console.

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 cgOneFactorComparisonsTable object. The object is printed using a mix of cat and print calls. See cgOneFactorComparisonsTable for details of the *.comprs and other object slots.

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.comps0 <- comparisonsTable(canine.fit)

print(canine.comps0, digits=1)

canine.comps1 <- comparisonsTable(canine.fit,  mcadjust=TRUE,
                                  type="allgroupstocontrol", refgrp="CC")

print(canine.comps1, model="olsonly")