print.cgPairedDifferenceCorrelationTable {cg}

Print a Paired Difference Correlation Table object with some format options

Description

Print a cgPairedDifferenceCorrelationTable object, which contains a table of correlations of the data from a cgPairedDifferenceData object.

Usage

## S4 method for signature 'cgPairedDifferenceCorrelationTable'
print(x, title = NULL, endptname = NULL, ...)

Arguments

x

A cgPairedDifferenceCorrelationTable object, typically created by
correlationTable.cgPairedDifferenceData.

title

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

...

Additional arguments. None are currently defined for this method.

Details

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

Two decimal places are used in the display of the correlations.

Value

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

Note

Contact [e-mail] for bug reports, questions, concerns, and comments.

Author(s)

Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]

See Also

cgPairedDifferenceCorrelationTable

Examples

data(anorexiaFT)
anorexiaFT.data <- prepareCGPairedDifferenceData(anorexiaFT, format="groupcolumns",
                                                 analysisname="Anorexia FT",
                                                 endptname="Weight",
                                                 endptunits="lbs",
                                                 expunitname="Patient",
                                                 digits=1,
                                                 logscale=TRUE)
## Next two calls are equivalent
correlationTable(anorexiaFT.data)

print(correlationTable(anorexiaFT.data, display="none"))

## A change in title
print(correlationTable(anorexiaFT.data, display="none"),
      title="Correlations")