cgPairedDifferenceVarianceTable object, which contains a table of
variances from a
The number of decimal places to use in the output, after any leading
zeroes right of the decimal point.
The title printed out with the table. If
The endpoint name of the data summarized in the table. If NULL, it is set to
Additional arguments. None are currently defined for this method.
The object is printed using a mix of
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
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
invisible. The main purpose is the side
effect of printing to the current output connection, which is
typically the console.
Contact firstname.lastname@example.org for bug reports, questions, concerns, and comments.
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
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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)
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