Learn R Programming

cg (version 1.0-3)

print.cgPairedDifferenceVarianceTable: Print a Paired Difference Variance Table object with some format options

Description

Print a cgPairedDifferenceVarianceTable object, which contains a table of variances from a cgPairedDifferenceFit object.

Usage

"print"(x, digits = NULL, title = NULL, endptname = NULL, ...)

Arguments

x
A cgPairedDifferenceVarianceTable object, created by varianceTable.cgPairedDifferenceFit.
digits
The number of decimal places to use in the output, after any leading zeroes right of the decimal point. If NULL, then the number of decimal places is taken from the digits value in the settings slot of the cgPairedDifferenceComparisonsTable object.
title
The title printed out with the table. If NULL, it is set to be "Variance Components Table of" the analysisname value taken from the settings slot of the cgPairedDifferenceVarianceTable object.
endptname
The endpoint name of the data summarized in the table. If NULL, it is set to the endptname value taken from the settings slot of the cgPairedDifferenceVarianceTable object.
...
Additional arguments. None are currently defined for this method.

Value

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

Details

The object is printed using a mix of cat and print calls. See cgPairedDifferenceVarianceTable for details of the contents and other object slots.

Two decimal places (after any leading zeroes) are used by default in the display of the variances.

As described in cgPairedDifferenceVarianceTable, the table displays a decomposition of the total variance into its within-experimental unit and between-experimential unit variance compoments. The variance estimates are provided in the first column, and the relative percents of these two components are in the second column. The third column is the square root of the first column of variances, to provide Spread/StdDev values in the units of the endpoint.

Below the printed table is a series of Notes. The first note narrates the estimated gain in sensitivity from using a paired groups design instead of an unpaired groups design. The gains are expressed in terms of reduced experimental unit sample size.

The label portion "experimental unit" in the printed output is replaced by the expunitname component of the settings slot of the cgPairedDifferenceVarianceTable object.

See Also

cgPairedDifferenceVarianceTable

Examples

Run this code
data(anorexiaFT)
anorexiaFT.data <- prepareCGPairedDifferenceData(anorexiaFT, format="groupcolumns",
                                                 analysisname="Anorexia FT",
                                                 endptname="Weight",
                                                 endptunits="lbs",
                                                 expunitname="Patient",
                                                 digits=1,
                                                 logscale=TRUE)
anorexiaFT.fit <- fit(anorexiaFT.data)

## Next two calls are equivalent
varianceTable(anorexiaFT.fit)

print(varianceTable(anorexiaFT.fit, display="none"))

## A change in title
print(varianceTable(anorexiaFT.fit, display="none"),
      title="Estimated Variances")

## Show three digits in display 
print(varianceTable(anorexiaFT.fit), digits=3)

Run the code above in your browser using DataLab